artificial intelligence
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ZoomInfo drops $575M on Chorus.ai as AI shakes up the sales market
ZoomInfo announced this morning it intends to acquire conversational sales intelligence tool Chorus.ai for $575 million. Shares of ZoomInfo are unchanged in premarket trading following the news, per Yahoo Finance data.
Sales intelligence, Chorus’s market, is a hot space that uses AI to “listen” to sales conversations to help improve interactions between salespeople and customers. ZoomInfo is mostly known for providing information about customers, so the acquisition expands the acquiring company’s platform in a significant way.
The company sees an opportunity to bring together different parts of the sales process in a single platform by “combining ZoomInfo’s historic top-of-the-funnel strength with insights driven from the middle of the funnel in the customer conversations that Chorus captures,” it said in a release.
“With Chorus, the entire organization can make better decisions by surfacing insights and analytics that you would only get if you sat in on every sales or customer success call,” ZoomInfo CEO and founder Henry Schuck said in a blog post announcing the deal.
Ahead of the transaction, ZoomInfo was valued at just under $21 billion.
Chorus looks for what it calls “smart themes” in sales calls, which help managers steer sales teams toward the types of conversation and tone that is likely to drive more revenue. In fact, Chorus holds the largest patent portfolio related to conversational intelligence, according to the company.
Chorus was founded in 2015 and raised more than $100 million along the way, according to PitchBook data. The most recent round was a $45 million Series C last year.
Crunchbase News reports that at the time of its Series C round of funding, Chorus had “doubled its headcount to more than 100 employees and tripled its revenue over the past year.” That’s the sort of growth that venture capitalists covet, making the company’s 2020 funding round a nonsurprise.
Notably PitchBook data indicates that the company’s final private valuation was around the $150 million mark; if accurate, it would imply that the company’s last private round was expensive in dilution terms, and that its investors did well in the exit, quickly more than trebling the capital that was last invested, with investors who put capital in earlier doing even better.
But we’re slightly skeptical of the company’s available valuation history given the growth that it claimed at the time of its Series C; it feels low. If that’s the case, the company’s exit multiple would decrease, making its final sale price slightly less impressive.
Of course, a half-billion-dollar exit is always material, even if venture capitalists in today’s red-hot, and expensive, market are more interested in $1 billion exits and larger.
Chorus.ai will likely not be the final exit in the conversational intelligence space. Its rival Gong (often known by its URL, Gong.io) is one of the hotter startups in this space, having raised over $500 million. Its most recent raise was $250 million on a $7.25 billion valuation last month.
The implication of the Chrous.ai exit and Gong’s enormous private valuation is that the application of AI to audio data in a sales environment is incredibly useful, given the number of customers the two companies’ aggregate valuation implies.
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Achieving digital transformation through RPA and process mining
Understanding what you will change is most important to achieve a long-lasting and successful robotic process automation transformation. There are three pillars that will be most impacted by the change: people, process and digital workers (also referred to as robots). The interaction of these three pillars executes workflows and tasks, and if integrated cohesively, determines the success of an enterprisewide digital transformation.
Robots are not coming to replace us, they are coming to take over the repetitive, mundane and monotonous tasks that we’ve never been fond of. They are here to transform the work we do by allowing us to focus on innovation and impactful work. RPA ties decisions and actions together. It is the skeletal structure of a digital process that carries information from point A to point B. However, the decision-making capability to understand and decide what comes next will be fueled by RPA’s integration with AI.
From a strategic standpoint, success measures for automating, optimizing and redesigning work should not be solely centered around metrics like decreasing fully loaded costs or FTE reduction, but should put the people at the center.
We are seeing software vendors adopt vertical technology capabilities and offer a wide range of capabilities to address the three pillars mentioned above. These include powerhouses like UiPath, which recently went public, Microsoft’s Softomotive acquisition, and Celonis, which recently became a unicorn with a $1 billion Series D round. RPA firms call it “intelligent automation,” whereas Celonis targets the execution management system. Both are aiming to be a one-stop shop for all things related to process.
We have seen investments in various product categories for each stage in the intelligent automation journey. Process and task mining for process discovery, centralized business process repositories for CoEs, executives to manage the pipeline and measure cost versus benefit, and artificial intelligence solutions for intelligent document processing.
For your transformation journey to be successful, you need to develop a deep understanding of your goals, people and the process.
Define goals and measurements of success
From a strategic standpoint, success measures for automating, optimizing and redesigning work should not be solely centered around metrics like decreasing fully loaded costs or FTE reduction, but should put the people at the center. To measure improved customer and employee experiences, give special attention to metrics like decreases in throughput time or rework rate, identify vendors that deliver late, and find missed invoice payments or determine loan requests from individuals that are more likely to be paid back late. These provide more targeted success measures for specific business units.
The returns realized with an automation program are not limited to metrics like time or cost savings. The overall performance of an automation program can be more thoroughly measured with the sum of successes of the improved CX/EX metrics in different business units. For each business process you will be redesigning, optimizing or automating, set a definitive problem statement and try to find the right solution to solve it. Do not try to fit predetermined solutions into the problems. Start with the problem and goal first.
Understand the people first
To accomplish enterprise digital transformation via RPA, executives should put people at the heart of their program. Understanding the skill sets and talents of the workforce within the company can yield better knowledge of how well each employee can contribute to the automation economy within the organization. A workforce that is continuously retrained and upskilled learns how to automate and flexibly complete tasks together with robots and is better equipped to achieve transformation at scale.
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AnyVision, the controversial facial recognition startup, has raised $235M led by SoftBank and Eldridge
Facial recognition has been one of the more conflicted applications of artificial intelligence in the wider world: using computer vision to detect faces and subsequent identities of people has raised numerous questions about privacy, data protection, and the ethics underpinning the purposes of the work, and even the systems themselves. But on the other hand, it’s being adopted widely in a wide variety of use cases. Now one of the more controversial, but also successful, startups in the field has closed a big round of funding.
AnyVision — an Israeli startup that has built AI-based techniques to identify people by their faces, but also related tech such as temperature checks to detect higher temperatures in a crowd — has raised $235 million in funding, the company has confirmed.
This Series C, one of the bigger rounds for an AI startup, is being co-led by SoftBank’s Vision Fund 2 and Eldridge, with previous investors also participating. (They are not named but the list includes Robert Bosch GmbH, Qualcomm Ventures and Lightspeed.) The company is not disclosing its valuation but we are asking. However, it has to be a sizable hike for the company, which had previously raised around $116 million, according to PitchBook, and has racked up a big list of customers since its last round in 2020.
Worth noting, too, that AnyVision’s CEO Avi Golan is a former operating partner at SoftBank’s investment arm.
AnyVision said the funding will be used to continue developing its SDKs, specifically to work in edge computing devices — smart cameras, body cameras, and chips that will be used in other devices — to increase the performance and speed of its systems.
Its systems, meanwhile, are used in video surveillance, watchlist alerts, and scenarios where an organization is looking to monitor crowds and control them, for example to keep track of numbers, to analyse dwell times in retail environments, or to flag illegal or dangerous behavior.
“AnyVision’s innovations in Recognition AI helped transform passive cameras into proactive security systems and empowered organizations take a more holistic view to advanced security threats,” Golan said in a statement in the investment announcement. “The Access Point AI platform is designed to protect people, places, and privacy while simultaneously reducing costs, power, bandwidth, and operational complexity.”
You may recognize the name AnyVision because of how much it has been in the press.
The startup was the subject of a report in 2019 that alleged that its technology was being quietly used by the Israeli government to run surveillance on Palestinians in the West Bank.
The company denied it, but the story quickly turned into a huge stain on its reputation, while also adding more scrutiny overall to the field of facial recognition.
That led to Microsoft, which had invested in AnyVision via its M12 venture arm, to run a full audit of the investment and its position on facial recognition investments overall. Ultimately, Microsoft divested its stake and pledged not to invest in further technology like it.
Since then, AnyVision has been working hard to spin itself as the “ethical” player in this space, acknowledging that there is a lot of work and shortcomings in the bigger market of facial recognition. But controversy has continued to court the company.
A report from Reuters in April of this year highlighted just how many companies were using AnyVision’s technology today, ranging from hospitals like Cedars Sinai in Los Angeles to major retailers like Macy’s and energy giant BP. AnyVision’s connections to power go beyond simply having big customers: it also turns out that the White House Press Secretary, Jen Psaki, once served as a communications consultant to the startup.
Then, a report published just yesterday in The Markup, combed through various public records for AnyVision, including a user guidebook from 2019, which also painted a pretty damning picture of just how much information the company can collect, and what it has been working on. (One pilot, and subsequent report resulting from it, involved tracking children in a school district in Texas: AnyVision collected 5,000 student photos and ran more than 164,000 detections in just seven days.)
There are other cases where you might imagine, however, that AnyVision’s technology might be deemed helpful or useful, maybe even welcomed. Its ability to detect temperatures, for example, and identify who may have been in contact with high-temperature people, could go a long way towards controlling less obvious cases of Covid-19, for example, helping contain the virus at mass events, providing a safeguard to enable those events to go ahead.
And to be completely clear, AnyVision is not the only company building and deploying this technology, nor the only one coming under scrutiny. Another, the U.S. company Clearview AI, is used by thousands of governments and law enforcement agencies, but earlier this year it was deemed “illegal” by Canadian privacy authorities.
Indeed, it seems that the story is not complete, either in terms of how these technologies will develop, how they will be used, and how the public comes to view them. For now, the traction AnyVision has had, even despite the controversy and ethical questions, seems to have swayed SoftBank.
“The visual recognition market is nascent but has large potential in the Western world,” said Anthony Doeh, a partner for SoftBank Investment Advisers, in a statement. “We have witnessed the transformative power of AI, biometrics and edge computing in other categories, and believe AnyVision is uniquely placed to redefine physical environment analytics across numerous industries.”
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Zoom to acquire German startup to bring real-time translation to meetings
As companies expand worldwide and meet online in tools like Zoom, the language barrier can be a real impediment to getting work done. Zoom announced that it intends to acquire German startup Karlsruhe Information Technology Solutions or Kites for short, to bring real-time machine-learning-based translation to the platform.
The companies did not share the terms of the deal, but with Kites, the company gets a team of top researchers, who can help enhance the machine-learning translation knowledge at the company. “Kites’ talented team of 12 research scientists will help Zoom’s engineering team advance the field of [machine translation] to improve meeting productivity and efficiency by providing multilanguage translation capabilities for Zoom users,” the company said in a statement.
The deal appears to be an acqui-hire as the company adds those 12 researchers to the Zoom engineering group. It intends to leave the team in place in Germany with plans to build a machine-learning translation R&D center with additional hires over time as the company puts more resources into this area.
While the Kites website reveals little about it other than an address, the company’s About page on LinkedIn indicates that the startup was founded in 2015 by two researchers who taught at Carnegie Mellon and Karlsruhe Institute of Technology with the goal of building machine-learning translation tooling.
“The Kites mission is to break down language barriers and make seamless cross-language interaction a reality of everyday life,” the LinkedIn overview stated. It claims to be among a handful of companies, including Google and Microsoft, to have developed “leading speech recognition and translation technologies,” which would suggest that Zoom has acquired some key technologies.
It does not appear the company had a commercial product, but the site does indicate that there is a machine-learning translation platform that is in use in academia and government. Regardless, the fruits of the company’s research will now belong to Zoom.
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Orum raises $56M to help speed up interbank transfers
Orum, which aims to speed up the amount of time it takes to transfer money between banks, announced today it has raised $56 million in a Series B round of funding.
Accel and Canapi Ventures co-led the round, which also included participation from existing backers Bain Capital Ventures, Inspired Capital, Homebrew, Acrew, Primary, Clocktower and Box Group. The financing comes barely three months after Orum announced a $21 million Series A, and brings its total raised to over $82 million.
Orum CEO Stephany Kirkpatrick launched the company in 2019 after working for several years at LearnVest, a personal finance site founded by Alexa von Tobel that was acquired by Northwestern Mutual in 2015 for an estimated $375 million. Tobel went on to form Inspired Capital, a venture capital firm that put money in Orum’s $5.2 million seed round last August. Prior to that, the firm also provided Orum with an “inspiration check” that was the first money into the business.
As a certified financial planner, Kirkpatrick says she saw firsthand what she describes as “deep cracks” in this country’s financial infrastructure. The fact that it takes days for money to move from one bank to another is not only inconvenient for many, but unnecessary, she believes.
“Most Americans are not familiar with the intricacies of ACH [automated clearing house) or why it takes multiple business days to move money between accounts,” Kirkpatrick said. “But none of us can allow money to wait 5-7 days to hit our accounts. It needs to be instant.”
Her mission with Orum is straightforward even if the technology behind it is complex. Put simply, Orum aims to use machine learning-backed APIs to “move money smartly across all payment rails, and in doing so, provide universal financial access.”
Orum’s first embeddable product, Foresight, launched in September of 2020. It’s an automated programming interface designed to give financial institutions a way to move money in real time. The platform uses machine learning and data science to predict when funds are available and to identify any potential risks. Its Momentum product “intelligently” routes funds across payments rails and is powered by banking providers JPMorgan Chase and Silicon Valley Bank.
“They power the back end of our Momentum platform that allows the money to move on a multirail basis,” Kirkpatrick told TechCrunch. “They power our access to real-time payments.”
Orum says it serves a range of enterprise partners, including Alloy, HM Bradley, First Horizon Bank and Zero Financial (which was recently acquired by Avant).
The volume of transactions being conducted with Orum is growing 100% month over month, Kirkpatrick said. Most of its early growth has come from word of mouth.
The remote-first company prides itself on diversity — in both its employee and investor base. For one, 48% of its 55-person headcount are female, and 48% are “nonwhite,” according to Kirkpatrick. Orum also recently joined the Cap Table Coalition — a partnership between high-growth startups and emerging investors who want to work to close the racial wealth gap — to allocate over 10% of its Series B round to underrepresented founders. For example, the financing includes investors such as the Neythri Features Fund, a group of South Asian women investing in the next generation of female founders and diverse teams.
Jeffrey Reitman, partner at Canapi Ventures (a firm whose LPs mostly consist of banks), told TechCrunch that those bank LPs conduct hundreds of millions of ACH transactions annually,
“They need a path to achieving a state where funds can be transferred instantly,” he said. “Orum’s product paves the path for many players in financial services and fintech — and beyond — to partake in faster money movement without compromising key risk principles.”
To Reitman, the company’s major differentiators are its team, which he describes as consisting of “the best group of data scientists and engineers in the space.”
“Many of their customers consider the team to be instrumental in helping to set the risk dials on how they fund transactions by teasing out key data and insights from historical transaction data,” he said. “Second, Orum is building one of the densest and most comprehensive data sets around the risks of money movement. Better data means better risk models, and it will be hard for other offerings to match Orum’s approach to building this rich data set.”
Accel Partner Sameer Gandhi, who joined Orum’s board as part of the latest financing, agrees. He believes that in an 18-month period, Orum has built “game-changing technology and an exceptional team.”
“Orum is tackling financial infrastructure from its foundation,” he said.
The headline was updated post-publication to reflect the correct funding amount.
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8 founders, leaders highlight fintech and deep tech as Bristol’s top sectors
The U.K. is gaining in popularity as a great place to start a tech firm. The country is quickly catching up to China on the tech investment front, with VC investments reaching a record of $15 billion in 2020, according to TechNation. A global health crisis notwithstanding, London remained a favorite for investors. U.K. cities made up a fifth of the top 20 European cities, with names such as Oxford, Dublin, Edinburgh and Cambridge rising to the fore in 2020.
Bristol proved especially popular among tech investors last year — local businesses raked in an impressive $414 million in 2020, making it the third-largest U.K. city for tech investment. The city also has the most fintech startups per head in the U.K. outside London, according to Whitecap’s 2019-2020 Ecosystem Report.
Efforts by the city’s private and public sectors to modernize the city have helped it rank among the top smart cities in the U.K., attracting a bevy of tech entrepreneurs. Its proximity to London has meant that it is a good alternative for founders looking for a more affordable stay while letting them tap the capital’s financial resources. The University of Bristol also has the largest robotics department in Europe.
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Bristol is also home to an important startup accelerator, SETsquared. A collaborative effort by the five universities of Bath, Bristol, Exeter, Southampton and Surrey, the accelerator has supported over 4,000 entrepreneurs and helped their startups raise a total of £1.8 billion. Other startup support players include the new Science Creates VC fund, set up by entrepreneur Harry Destecroix, and TechSPARK Engine Shed.
Key emerging startups from Bristol include Graphcore, Open Bionics, Ultraleap, Immersive Labs and Five AI.
To get a better idea of the state of the tech ecosystem and the investor outlook for this city, we surveyed founders, leaders and executives involved in nurturing Bristol’s startup ecosystem.
The survey revealed that the city has a robust renewable, zero-carbon and fintech startup landscape. Robotics, VR, bio, quantum, digital and deep tech are also areas showing promise. As for the investing scene, although Bristol has a healthy angel network, the city lacks institutional VC, but with London only a drive or train ride away, this has not proved a significant problem.
We surveyed:
- Coralie Hassanaly, innovation consultant, DRIAD
- Pete Read, CEO and founder, Persona Education
- Kiran Krishnamurthy, CEO, AI Labs
- Simon Hall, director, Airway Medical
- Ben Miles, CEO, Spin Up Science
- Rupert Baines, ex-CEO, UltraSoC
- Mathieu Johnsson, CEO and co-founder, Marble
- Chris Erven, CEO, KETS Quantum Security
Coralie Hassanaly, innovation consultant, DRIAD
Which sectors is Bristol’s tech ecosystem strong in? What are you most excited by? What does it lack?
Bristol is strong in renewable and zero-carbon innovation, fintech and robotics. It’s weak in industry 4.0.
Which are the most interesting startups in Bristol?
Graphcore, LettUs Grow, Open Bionics, Ultraleap and YellowDog.
What are the tech investors like in Bristol? What’s their focus?
A lot of focus on fintech, I think.
With the shift to remote working, do you think people will stay in Bristol or will they move out? Will others move in?
Bristol is a great middle ground between a large dynamic city (plus it’s not far from London) and access to nice countryside area. With remote working we can expect it will attract new residents in the next few years.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
Aimee Skinner, Abigail Frear and Stuart Harrison.
Where do you think the city’s tech scene will be in five years?
Second major city in U.K. innovation.
Pete Read, CEO and founder, Persona Education
Which sectors is Bristol’s tech ecosystem strong in? What are you most excited by? What does it lack?
Bristol is strong in media/animation, edtech, social impact, health and science. I’m most excited by edtech and the possibility to reach and positively impact millions of students via online learning. It’s weaker in hardware and fintech.
Which are the most interesting startups in Bristol?
Kaedim, Persona Education and One Big Circle.
What are the tech investors like in Bristol? What’s their focus?
There are several very active tech investment networks coming from several angles, e.g., university-led, groups of private angels and tech incubators. The great thing is they all collaborate and share resources, ideas and expertise in initiatives such as The Engine Shed and Silicon Gorge.
With the shift to remote working, do you think people will stay in Bristol or will they move out? Will others move in?
More people are moving in, as Bristol has a great urban lifestyle with easy access to the countryside and Southwest/Wales holiday spots, and an international airport 20 minutes from the center.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
Jerry Barnes at Bristol PE Club; Abby Frear at TechSPARK; Briony Phillips at Rocketmakers; Jack Jordan-Connelly at SETsquared.
Where do you think the city’s tech scene will be in five years?
It’s developing rapidly with lots of support, so it will be bigger, attracting more investment and definitely more on the international scene five years from now.
Kiran Krishnamurthy, CEO, AI Labs
Which sectors is Bristol’s tech ecosystem strong in? What are you most excited by? What does it lack?
Our tech ecosystem is strong in the aerospace and defense sector. We are excited by the scope and scale of digital transformation opportunities with AI available in this sector. The main weakness in this sector is the slow pace of transformation, especially now due to the pandemic.
Which are the most interesting startups in Bristol?
Graphcore and YellowDog.
What are the tech investors like in Bristol? What’s their focus?
Compared to the U.K. tech sector average, Bristol has a very low proportion of established companies (4% versus 8%), a higher proportion of seed stage companies (42% versus 37%), and a higher death rate (21% versus 17%). It’s a particularly young ecosystem.
With the shift to remote working, do you think people will stay in Bristol or will they move out? Will others move in?
It is possible that people moving out of London will come into Bristol due to the transport links, strong ecosystem and beautiful nature of the city.
Where do you think the city’s tech scene will be in five years?
I wouldn’t be surprised if Bristol turns out to be San Francisco of Europe!
Simon Hall, director, Airway Medical
Which sectors is Bristol’s tech ecosystem strong in? What does it lack?
Bristol is strong in the medtech, veterinary, industrial sectors.
With the shift to remote working, do you think people will stay in Bristol or will they move out? Will others move in?
Others have moved in.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
SETsquared.
Where do you think the city’s tech scene will be in five years?
We will see massive growth in five years.
Ben Miles, CEO, Spin Up Science
Which sectors is Bristol’s tech ecosystem strong in? What are you most excited by? What does it lack?
Our sector is weak in entrepreneurial ambition among researchers, and so suffers from low rates of deep tech spinout activity from leading universities. We are most excited by the step change in activity we have seen in the past two years and culture shift towards innovation.
Which are the most interesting startups in Bristol?
Rosa Biotech, Albotherm and CytoSeek.
What are the tech investors like in Bristol? What’s their focus?
Medium strength in shallow tech; currently weak in deep tech.
With the shift to remote working, do you think people will stay in Bristol or will they move out? Will others move in?
People are moving in.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
Spin Up Science, Science Creates and Science Angel Syndicate.
Where do you think the city’s tech scene will be in five years?
Very strong in deep tech with an invested local community of entrepreneurs, incubators and investors.
Rupert Baines, ex-CEO, UltraSoC
Which sectors is Bristol’s tech ecosystem strong in? What are you most excited by? What does it lack?
Bristol is strong in wireless (5G, 60 GHz, etc.), semiconductors (especially processors, AI/ML and parallel architectures), robotics and other hard tech/deep tech.
Which are the most interesting startups in Bristol?
Graphcore, Ultraleap, Blu Wireless and Five AI.
What are the tech investors like in Bristol? What’s their focus?
It’s limited. There are some angels, but few locally focused funds.
With the shift to remote working, do you think people will stay in Bristol or will they move out? Will others move in?
Much the same: People choose to live in Bristol/Bath for quality of life. Much of the work is already external — commuting to London.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
Nigel Toon, Simon Knowles, Stan Boland, David May and Nick Sturge.
Where do you think the city’s tech scene will be in five years?
Much stronger, with more processor and hardware activity.
Mathieu Johnsson, CEO and co-founder, Marble
Which sectors is Bristol’s tech ecosystem strong in? What are you most excited by? What does it lack?
Bristol has a strong robotics, aerospace and renewables scene. I’m most excited to see how the legacy in aerospace in Bristol will translate to future industry-defining companies. The ecosystem is weak on the investor side, though London VCs are less than a two-hour train journey away.
Which are the most interesting startups in Bristol?
Graphcore, Ultraleap and Open Bionics.
With the shift to remote working, do you think people will stay in Bristol or will they move out? Will others move in?
I believe Bristol will become more attractive.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
Tom Carter at Ultraleap, and Joel Gibbard at Open Bionics.
Where do you think the city’s tech scene will be in five years?
Getting closer to London and Cambridge.
Chris Erven, CEO, KETS Quantum Security
Which sectors is Bristol’s tech ecosystem strong in? What are you most excited by? What does it lack?
Bristol has a strong biotech, quantum, digital, science-based/deep tech ecosystem. I’m excited by this eclectic city with exciting people that think differently.
Which are the most interesting startups in Bristol?
Any QTEC, SETsquared, or UnitDX members and alumni.
What are the tech investors like in Bristol? What’s their focus?
Very early/nascent, mostly angels.
With the shift to remote working, do you think people will stay in Bristol or will they move out? Will others move in?
Probably move in! Beautiful green spaces around, lots of interesting, independent shops. And (just about) commutable from London.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
The incubators — QTEC, QTIC, SETsquared and UnitDX; Bristol Private Equity Club; Harry Destecroix.
Where do you think the city’s tech scene will be in five years?
Buzzing. More great startups and VCs moving in.
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Memory.ai, the startup behind time-tracking app Timely, raises $14M to build more AI-based productivity apps
Time is your most valuable asset — as the saying goes — and today a startup called Memory.ai, which is building AI-based productivity tools to help you with your own time management, is announcing some funding to double down on its ambitions: It wants not only to help manage your time, but to, essentially, provide ways to use it better in the future.
The startup, based out of Oslo, Norway, initially made its name with an app called Timely, a tool for people to track time spent doing different tasks. Aimed not just at people who are quantified self geeks, but those who need to track time for practical reasons, such as consultants or others who work on the concept of billable hours. Timely has racked up 500,000 users since 2014, including more than 5,000 paying businesses in 160 countries.
Now, Memory.ai has raised $14 million as it gears up to launch its next apps, Dewo (pronounced “De-Voh”), an app that is meant to help people do more “deep work” by learning about what they are working on and filtering out distractions to focus better; and Glue, described as a knowledge hub to help in the creative process. Both are due to be released later in the year.
The funding is being led by local investors Melesio and Sanden, with participation from Investinor, Concentric and SNÖ Ventures, who backed Memory.ai previously.
“Productivity apps” has always been something of a nebulous category in the world of connected work. They can variously cover any kind of collaboration management software ranging from Asana and Jira through to Slack and Notion; or software that makes doing an existing work task more efficient than you did it before (e.g. Microsoft has described all of what goes into Microsoft 365 — Excel, Word, PowerPoint, etc. — as “productivity apps”); or, yes, apps like those from Memory.ai that aim to improve your concentration or time management.
These days, however, it feels like the worlds of AI and advances in mobile computing are increasingly coming together to evolve that concept once again.
If the first wave of smartphone communications and the apps that are run on smartphone devices — social, gaming, productivity, media, information, etc. — have led to us getting pinged by a huge amount of data from lots of different places, all of the time, then could it be that the second wave is quite possibly going to usher in a newer wave of tools to handle all that better, built on the premise that not everything is of equal importance? No-mo FOMO? We’ll see.
In any case, some bigger platform players also helping to push the agenda of what productivity means in this day and age.
For example, in Apple’s recent preview of iOS 15 (due to come out later this year) the company gave a supercharge to its existing “do not disturb” feature on its phones, where it showed off a new Focus mode, letting users customize how and when they want to receive notifications from which apps, and even which apps they want to have displayed, all organized by different times of day (e.g. work time), place, calendar items and so on.
“Today, iPhone plays so many roles in our lives. It’s where we get information, how people reach us, and where we get things done. This is great, but it means our attention is being pulled in so many different directions and finding that balance between work and life can be tricky,” said Apple’s Craig Federighi in the WWDC keynote earlier this month. “We want to free up space to focus and help you be in the moment.” How well that gets used, and how much other platforms like Google follow suit, will be interesting to see play out. It feels, in any case, like it could be the start of something.
And, serendipitously — or maybe because this is some kind of zeitgeist — this is also playing into what Memory.ai has built and is building.
Mathias Mikkelsen, the Oslo-based founder of Memory.ai, first came up with his idea for Timely (which had also been the original name of the whole startup) when he was working as a designer in the ad industry, one of those jobs that needed to track what he was working on, and for how long, in order to get paid.
He said he knew the whole system as it existed was inefficient: “I just thought it was insane how cumbersome and old it was. But at the same time how important it was for the task,” he said.
The guy had an entrepreneurial itch that he was keen to scratch, and this idea would become the salve to help him. Mikkelsen was so taken with building a startup around time management, that he sold his apartment in Oslo and moved himself to San Francisco to be where he believed was the epicenter of startup innovation. He tells me he lived off the proceeds of his flat for two years “in a closet” in a hacker house, bootstrapping Timely, until eventually getting into an accelerator (500 Startups) and subsequently starting to raise money. He eventually moved back to Oslo after two years to continue growing the business, as well as to live somewhere a little more spacious.
The startup’s big technical breakthrough with Timely was to figure out an efficient way of tracking time for different tasks, not just time worked on anything, without people having to go through a lot of data entry.
The solution: to integrate with a person’s computer, plus a basic to-do schedule for a day or week, and then match up which files are open when to determine how long one works for one client or another. Phone or messaging conversations, for the moment, are not included, and neither are the contents of documents — just the titles of them. Nor is data coming from wearable devices, although you could see how that, too, might prove useful.
The basic premise is to be personalised, so managers and others cannot use Timely to track exactly what people are doing, although they can track and bill for those billable hours. All this is important, as it also will feed into how Dewo and Glue will work.
The startup’s big conceptual breakthrough came around the same time: Getting time tracking or any productivity right “has never been a UI problem,” Mikkelsen said. “It’s a human nature problem.” This is where the AI comes in, to nudge people towards something they identify as important, and nudge them away from work that might not contribute to that. Tackling bigger issues beyond time are essential to improving productivity overall, which is why Memory.ai now wants to extend to apps for carving out time for deep thinking and creative thinking.
While it might seem to be a threat that a company like Apple has identified the same time management predicament that Memory.ai has, and is looking to solve that itself, Mikkelsen is not fazed. He said he thinks of Focus as not unlike Apple’s work on Health: there will be ways of feeding information into Apple’s tool to make it work better for the user, and so that will be Memory.ai’s opportunity to hopefully grow, not cannibalize, its own audience with Timely and its two new apps. It is, in a sense, a timely disruption.
“Memory’s proven software is already redefining how businesses around the world track, plan and manage their time. We look forward to working with the team to help new markets profit from the efficiencies, insights and transparency of a Memory-enabled workforce,” said Arild Engh, a partner at Melesio, in a statement.
Kjartan Rist, a partner at Concentric, added: “We continue to be impressed with Memory’s vision to build and launch best-in-class products for the global marketplace. The company is well on its way to becoming a world leader in workplace productivity and collaboration, particularly in light of the remote and hybrid working revolution of the last 12 months. We look forward to supporting Mathias and the team in this exciting new chapter.”
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Extra Crunch roundup: influencer marketing 101, spotting future unicorns, Apple AirTags teardown
With the right message, even a small startup can connect with established and emerging stars on TikTok, Instagram and YouTube who will promote your products and services — as long as your marketing team understands the influencer marketplace.
Creators have a wide variety of brands and revenue channels to choose from, but marketers who understand how to court these influencers can make inroads no matter the size of their budget. Although brand partnerships are still the top source of revenue for creators, many are starting to diversify.
If you’re in charge of marketing at an early-stage startup, this post explains how to connect with an influencer who authentically resonates with your brand and covers the basics of setting up a revenue-share structure that works for everyone.
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Use discount code ECFriday to save 20% off a one- or two-year subscription
Our upcoming TC Early Stage event is devoted to marketing and fundraising, so expect to see more articles than usual about growth marketing in the near future.
We also ran a post this week with tips for making the first marketing hire, and Managing Editor Eric Eldon spoke to growth leader Susan Su to get her thoughts about building remote marketing teams.
We’re off today to celebrate the Juneteenth holiday in the United States. I hope you have a safe and relaxing weekend.
Walter Thompson
Senior Editor, TechCrunch
@yourprotagonist
As the economy reopens, startups are uniquely positioned to recruit talent
Image Credits: ballyscanlon (opens in a new window) / Getty Images
The pandemic forced a reckoning about the way we work — and whether we want to keep working in the same way, with the same people, for the same company — and many are looking for something different on the other side.
Art Zeile, the CEO of DHI Group, notes this means it’s a great time for startups to recruit talent.
“While all startups are certainly not focused on being disruptive, they often rely on cutting-edge technology and processes to give their customers something truly new,” Zeile writes. “Many are trying to change the pattern in their particular industry. So, by definition, they generally have a really interesting mission or purpose that may be more appealing to tech professionals.”
Here are four considerations for high-growth company founders building their post-pandemic team.
Refraction AI’s Matthew Johnson-Roberson on finding the middle path to robotic delivery
Image Credits: Bryce Durbin
“Refraction AI calls itself the Goldilocks of robotic delivery,” Rebecca Bellan writes. “The Ann Arbor-based company … was founded by two University of Michigan professors who think delivery via full-size autonomous vehicles (AV) is not nearly as close as many promise, and sidewalk delivery comes with too many hassles and not enough payoff.
“Their ‘just right’ solution? Find a middle path, or rather, a bike path.”
Rebecca sat down with the company’s CEO to discuss his motivation to make “something that is useful to the general public.”
How to identify unicorn founders when they’re still early-stage
Image Credits: RichVintage (opens in a new window)/ Getty Images
What are investors looking for?
Founders often tie themselves in knots as they try to project qualities they hope investors are seeking. In reality, few entrepreneurs have the acting skills required to convince someone that they’re patient, dedicated or hard working.
Johan Brenner, general partner at Creandum, was an early backer of Klarna, Spotify and several other European startups. Over the last two decades, he’s identified five key traits shared by people who create billion-dollar companies.
“A true unicorn founder doesn’t need to have all of those capabilities on day one,” Brenner, writes “but they should already be thinking big while executing small and demonstrating that they understand how to scale a company.”
Founders Ben Schippers and Evette Ellis are riding the EV sales wave
Image Credits: TechCrunch
EV sales are driving demand for services and startups that fulfill the new needs of drivers, charging station operators and others.
Evette Ellis and Ben Schippers took to the main stage at TC Sessions: Mobility 2021 to share how their companies capitalized on the new opportunities presented by the electric transportation revolution.
Scale AI CEO Alex Wang weighs in on software bugs and what will make AV tech good enough
Image Credits: Alexandr Wang
Scale co-founder and CEO Alex Wang joined us at TechCrunch Sessions: Mobility 2021 to discuss his company’s role in the autonomous driving industry and how it’s changed in the five years since its founding.
Scale helps large and small AV players establish reliable “ground truth” through data annotation and management, and along the way, the standards for what that means have shifted as the industry matures.
Even if two algorithms in autonomous driving might be created more or less equal, their real-world performance could vary dramatically based on what they’re consuming in terms of input data. That’s where Scale’s value prop to the industry starts, and Wang explains why.
Edtech investors are flocking to SaaS guidance counselors
Image Credits: Getty Images / Vertigo3d
The prevailing post-pandemic edtech narrative, which predicted higher ed would be DOA as soon as everyone got their vaccine and took off for a gap year, might not be quite true.
Natasha Mascarenhas explores a new crop of edtech SaaS startups that function like guidance counselors, helping students with everything from study-abroad opportunities to swiping right on a captivating college (really!).
“Startups that help students navigate institutional bureaucracy so they can get more value out of their educational experience may become a growing focus for investors as consumer demand for virtual personalized learning increases,” she writes.
Dear Sophie: Is it possible to expand our startup in the US?
Image Credits: Bryce Durbin/TechCrunch
Dear Sophie,
My co-founders and I launched a software startup in Iran a few years ago, and I’m happy to say it’s now thriving. We’d like to expand our company in California.
Now that President Joe Biden has eliminated the Muslim ban, is it possible to do that? Is the pandemic still standing in the way? Do you have any suggestions?
— Talented in Tehran
Companies should utilize real-time compensation data to ensure equal pay
Image Credits: Rudzhan Nagiev (opens in a new window) / Getty Images
Chris Jackson, the vice president of client development at CompTrak, writes in a guest column that having a conversation about diversity, equity and inclusion initiatives and “agreeing on the need for equality doesn’t mean it will be achieved on an organizational scale.”
He lays out a data-driven proposal that brings in everyone from directors to HR to the talent acquisition team to get companies closer to actual equity — not just talking about it.
Investors Clara Brenner, Quin Garcia and Rachel Holt on SPACs, micromobility and how COVID-19 shaped VC
Image Credits: TechCrunch
Few people are more closely tapped into the innovations in the transportation space than investors.
They’re paying close attention to what startups and tech companies are doing to develop and commercialize autonomous vehicle technology, electrification, micromobility, robotics and so much more.
For TC Sessions: Mobility 2021, we talked to three VCs about everything from the pandemic to the most overlooked opportunities within the transportation space.
Experts from Ford, Toyota and Hyundai outline why automakers are pouring money into robotics
Image Credits: TechCrunch
Automakers’ interest in robotics is not a new phenomenon, of course: Robots and automation have long played a role in manufacturing and are both clearly central to their push into AVs.
But recently, many companies are going even deeper into the field, with plans to be involved in the wide spectrum of categories that robotics touch.
At TC Sessions: Mobility 2021, we spoke to a trio of experts at three major automakers about their companies’ unique approaches to robotics.
Apple AirTags UX teardown: The trade-off between privacy and user experience
Image Credits: James D. Morgan/Getty Images
Apple’s location devices — called AirTags — have been out for more than a month now. The initial impressions were good, but as we concluded back in April: “It will be interesting to see these play out once AirTags are out getting lost in the wild.”
That’s exactly what our resident UX analyst, Peter Ramsey, has been doing for the last month — intentionally losing AirTags to test their user experience at the limits.
This Extra Crunch exclusive helps bridge the gap between Apple’s mistakes and how you can make meaningful changes to your product’s UX.
How to launch a successful RPA initiative
Image Credits: NanoStockk (opens in a new window) / Getty Images
Robotic process automation (RPA) is no longer in the early-adopter phase.
Though it requires buy-in from across the organization, contributor Kevin Buckley writes, it’s time to gather everyone around and get to work.
“Automating just basic workflow processes has resulted in such tremendous efficiency improvements and cost savings that businesses are adapting automation at scale and across the enterprise,” he writes.
Long story short: “Adapting business automation for the enterprise should be approached as a business solution that happens to require some technical support.”
Mobility startups can be equitable, accessible and profitable
Image Credits: TechCrunch
Mobility should be a right, but too often it’s a privilege. Can startups provide the technology and the systems necessary to help correct this injustice?
At our TC Sessions: Mobility 2021 event, we sat down with Revel CEO and co-founder Frank Reig, Remix CEO and co-founder Tiffany Chu, and community organizer, transportation consultant and lawyer Tamika L. Butler to discuss how mobility companies should think about equity, why incorporating it from the get-go will save money in the long run, and how they can partner with cities to expand accessible and sustainable mobility.
CEO Shishir Mehrotra and investor S. Somasegar reveal what sings in Coda’s pitch doc
Image Credits: Carlin Ma / Madrona Venture Group/Brian Smale
Coda CEO Shishir Mehrotra and Madrona partner S. Somasegar joined Extra Crunch Live to go through Coda’s pitch doc (not deck. Doc) and stuck around for the ECL Pitch-off, where founders in the audience come “onstage” to pitch their products to our guests.
Extra Crunch Live takes place every Wednesday at 3 p.m. EDT/noon PDT. Anyone can hang out during the episode (which includes networking with other attendees), but access to past episodes is reserved exclusively for Extra Crunch members. Join here.
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KeepTruckin raises $190 million to invest in AI products, double R&D team to 700
KeepTruckin, a hardware and software developer that helps trucking fleets manage vehicle, cargo and driver safety, has just raised $190 million in a Series E funding round, which puts the company’s valuation at over $2 billion, according to CEO Shoaib Makani.
G2 Venture Partners, which just raised a $500 million fund to help modernize existing industries, participated in the round, alongside existing backers like Greenoaks Capital, Index Ventures, IVP and Scale Venture Partners and funds managed by BlackRock.
KeepTruckin intends to invest its new capital back into its AI-powered products like its GPS tracking, ELD compliance and dispatch and workflow, but it’s specifically interested in improving its smart dashcam, which instantly detects unsafe driving behaviors like cell phone distraction and close following and alerts the drivers in real time, according to Makani.
The company says Usher Transport, one of its clients, says it has seen a 32% annual reduction in accidents after implementing the Smart Dashcam, DRIVE risk score and Safety Hub, products that the company offers to increase safety.
“KeepTruckin’s special sauce is that we can build complex models (that other edge cameras can’t yet run) and make it run on the edge with low-power, low-memory and low-bandwidth constraints,” Makani told TechCrunch. “We have developed in-house IPs to solve this problem at different environmental conditions such as low-light, extreme weather, occluded subject and distortions.”
This kind of accuracy requires billions of ground truth data points that are trained and tested on KeepTruckin’s in-house machine learning platform, a process that is very resource-intensive. The platform includes smart annotation capabilities to automatically label the different data points so the neural network can play with millions of potential situations, achieving similar performance to the edge device that’s in the field with real-world environmental conditions, according to Makani.
A 2020 McKinsey study predicted the freight industry is not likely to see the kind of YOY growth it saw last year, which was 30% up from 2019, but noted that some industries would increase at higher rates than others. For example, commodities related to e-commerce and agricultural and food products will be the first to return to growth, whereas electronics and automotive might increase at a slower rate due to declining consumer demand for nonessentials.
Since the pandemic, the company said it experienced 70% annualized growth, in large part due to expansion into new markets like construction, oil and gas, food and beverage, field services, moving and storage and agriculture. KeepTruckin expects this demand to increase and intends to use the fresh funds to scale rapidly and recruit more talent that will help progress its AI systems, doubling its R&D team to 700 people globally with a focus on engineering, machine vision, data science and other AI areas, says Makani.
“We think packaging these products into operator-friendly user interfaces for people who are not deeply technical is critical, so front-end and full-stack engineers with experience building incredibly intuitive mobile and web applications are also high priority,” said Makani.
Much of KeepTruckin’s tech will eventually power autonomous vehicles to make roads safer, says Makani, something that’s also becoming increasingly relevant as the demand for trucking continues to outpace supply of drivers.
“Level 4 and eventually level 5 autonomy will come to the trucking industry, but we are still many years away from broad deployment,” he said. “Our AI-powered dashcam is making drivers safer and helping prevent accidents today. While the promise of autonomy is real, we are working hard to help companies realize the value of this technology now.”
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SoftBank Vision Fund 2 leads $140M funding in Vishal Sikka’s Vianai
Vianai Systems, an AI startup founded by Vishal Sikka, former chief executive of Indian IT services giant Infosys, said on Wednesday it has raised $140 million in a round led by SoftBank Vision Fund 2.
The two-year-old startup said a number of industry luminaries also participated in the new round, which brings its total to-date raise to at least $190 million. The startup raised $50 million in its seed financing round, but there’s no word on the size of its Series A round.
Details about what exactly the Palo Alto-headquartered startup does is unclear. In a press statement, Dr. Vishal Sikka said the startup is building a “better AI platform, one that puts human judgment at the center of systems that bring vast AI capabilities to amplify human potential.” Sikka, 54, resigned from the top role at Infosys in 2017 after months of acrimony between the board and a cohort of founders.
“Vianai helps its customers amplify the transformation potential within their organizations using a variety of advanced AI and ML tools with a distinct approach in how it thoughtfully brings together humans with technology. This human-centered approach differentiates Vianai from other platform and product companies and enables its customers to fulfill AI’s true promise,” the startup said.
The startup claims it has already amassed as its customers many of the world’s largest and most respected businesses, including insurance giant Munich Re.
Its investors include Jim Davidson (co-founder of Silver Lake), Henry Kravis and George Roberts (co-founders of KKR), and Jerry Yang (founding partner of AME and co-founder of Yahoo). Dr. Fei-Fei Li (co-director of the Stanford Institute for Human-Centered AI) has joined Vianai Systems’ advisory board.
“With the AI revolution underway, we believe Vianai’s human-centered AI platform and products provide global enterprises with operational and customer intelligence to make better business decisions,” said Deep Nishar, senior managing partner at SoftBank Investment Advisers, in a statement. “We are pleased to partner with Dr. Sikka and the Vianai team to support their ambition to fulfill AI’s promise to drive fundamental digital transformations.”
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