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RapidDeploy raises $29M for a cloud-based dispatch platform aimed at 911 centers
The last year of pandemic living has been real-world, and sometimes harrowing, proof of how important it can be to have efficient and well-equipped emergency response services in place. They can help people remotely if need be, and when they cannot, they make sure that in-person help can be dispatched quickly in medical and other situations. Today, a company that’s building cloud-based tools to help with this process is announcing a round of funding as it continues to grow.
RapidDeploy, which provides computer-aided dispatch technology as a cloud-based service for 911 centers, has closed a round of $29 million, a Series B round of funding that will be used both to grow its business and continue expanding the SaaS tools that it provides to its customers. In the startup’s point of view, the cloud is essential to running emergency response in the most efficient manner.
“911 response would have been called out on a walkie talkie in the early days,” said Steve Raucher, the co-founder and CEO of RapidDeploy, in an interview. “Now the cloud has become the nexus of signals.”
Austin-based RapidDeploy provides data and analytics to 911 centers — the critical link between people calling for help and connecting those calls with the nearest medical, police or fire assistance — and today it has about 700 customers using its RadiusPlus, Eclipse Analytics and Nimbus CAD products.
That works out to about 10% of all 911 centers in the U.S. (7,000 in total), and covering 35% of the population (there are more centers in cities and other dense areas). Its footprint includes state coverage in Arizona, California and Kansas. It also has operations in South Africa, where it was originally founded.
The funding is coming from an interesting mix of financial and strategic investors. Led by Morpheus Ventures, the round also had participation from GreatPoint Ventures, Ericsson Ventures, Samsung Next Ventures, Tao Capital Partners and Tau Ventures, among others. It looks like the company had raised about $30 million before this latest round, according to PitchBook data. Valuation is not being disclosed.
Ericsson and Samsung, as major players in the communication industry, have a big stake in seeing through what will be the next generation of communications technology and how it is used for critical services. (And indeed, one of the big leaders in legacy and current 911 communications is Motorola, a would-be competitor of both.) AT&T is also a strategic go-to-market (distribution and sales) partner of RapidDeploy’s, and it also has integrations with Apple, Google, Microsoft and OnStar to feed data into its system.
The business of emergency response technology is a fragmented market. Raucher describes them as “mom-and-pop” businesses, with some 80% of them occupying four seats or less (a testament to the fact that a lot of the U.S. is actually significantly less urban than its outsized cities might have you think it is), and in many cases a lot of these are operating on legacy equipment.
However, in the U.S. in the last several years — buffered by innovations like the Jedi project and FirstNet, a next-generation public safety network — things have been shifting. RapidDeploy’s technology sits alongside (and in some areas competes with) companies like Carbyne and RapidSOS, which have been tapping into the innovations of cell phone technology both to help pinpoint people and improve how to help them.
RapidDeploy’s tech is based around its RadiusPlus mapping platform, which uses data from smart phones, vehicles, home security systems and other connected devices and channels it to its data stream, which can help a center determine not just location but potentially other aspects of the condition of the caller. Its Eclipse Analytics services, meanwhile, are meant to act as a kind of assistant to those centers to help triage situations and provide insights into how to respond. The Nimbus CAD then helps figure out who to call out and routing for response.
Longer term, the plan will be to leverage cloud architecture to bring in new data sources and ways of communicating between callers, centers and emergency care providers.
“It’s about being more of a triage service rather than a message switch,” Raucher said. “As we see it, the platform will evolve with customers’ needs. Tactical mapping ultimately is not big enough to cover this. We’re thinking about unified communications.” Indeed, that is the direction that many of these services seem to be going, which can only be a good thing for us consumers.
“The future of emergency services is in data, which creates a faster, more responsive 9-1-1 center,” said Mark Dyne, founding partner at Morpheus Ventures, in a statement. “We believe that the platform RapidDeploy has built provides the necessary breadth of capabilities that make the dream of Next-Gen 9-1-1 service a reality for rural and metropolitan communities across the nation and are excited to be investing in this future with Steve and his team.” Dyne has joined the RapidDeploy board with this round.
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Kenya’s Ajua acquires WayaWaya to consolidate consumer experience play in African SMEs
Kenyan consumer experience platform for businesses in Africa, Ajua today announced that it has acquired WayaWaya, a Kenya-based AI and ML messaging and payments company.
WayaWaya’s customers and partners include the likes of I&M Bank, Interswitch and MTN. The company offers a range of services, from digital banking and payment services to financial services APIs and payment bots.
According to Ajua, the acquisition is primarily focused on WayaWaya’s payments bots system known as Janja. The platform, which has customers like Airtel, Ezee Money, Housing Finance Company of Kenya (HF Group), enables borderless banking and payments across apps and social media platforms. Teddy Ogallo, the entrepreneur who founded WayaWaya, joins Ajua as VP of Product APIs and Integrations.
Per Crunchbase, WayaWaya has just raised $75,000. Although the two companies did not disclose the financial details of the acquisition, Ajua is expected to have paid 10 times more than WayaWaya’s total raise.
Ajua, formerly mSurvey, was founded in 2012 by Kenfield Griffith. The company is solving a consumer data problem for African businesses to understand their business better and drive growth.
“There’s a lot of commerce happening on the continent and Ajua wants companies to move from transaction numbers to the customers behind such transaction,” Griffith told TechCrunch. “Imagine if we knew what drove consumer habits for businesses. I mean, that’s a huge exponential curve for African businesses.”
Teddy Ogallo (Founder, WayaWaya) & Kenfield Griffith (CEO, Ajua)
Nigeria’s SME market alone is valued at $220 billion annually. And while businesses, mostly big enterprises, can afford customer communication tools, a large segment of small businesses are being left out. Ajua’s play is to use data and analytics to connect companies with their customers in real time. “We’ve taken what makes enterprise customers successful, and we’re capturing it in a simple format so SMEs can have the same tools,” Griffith added.
Since most consumer behavior for these SMEs happens offline, Ajua gives businesses unique USSD codes to receive payments, get feedback and offer discounts to their customers. It is one of the products Ajua has launched over the years for customer feedback at the point of service to businesses that cumulatively have over 45 million customers.
The company’s partners and clients also include Coca-Cola, FBNQuest, GoodLife Pharmacy, Java House, Safaricom, Standard Chartered and Total.
As an intelligent messaging bot, Janja is used by individuals and businesses across WhatsApp, Facebook Messenger and Telegram to automate customer support and make cross-border payments. So, Janja’s integration into Ajua’s product stack will close much of the acquirer’s customer experience loop by automating responses and giving customers what they want, when they want it.
This acquisition comes a month after Ajua announced that it partnered with telecom operator MTN Nigeria to launch a customer management product for Nigerian businesses. The product called MTN EnGauge carries the same features present in Ajua but, in this case, is tailored solely for businesses using the MTN network. The roll-out is expected to generate more data for Ajua’s thousands of users. It will also be upgraded to incorporate Janja and other services.
In hindsight, it appears Ajua could have created a product like Janja in-house due to its vast experience in the consumer experience space. However, the company chose an acquisition and Griffith gave two reasons why — building a similar product would have taken a long time and Ogallo seemed to know Janja’s business and operations so well, it just made sense to get him on board.
“Teddy was going the same direction we’re going. We just thought to acquire WayaWaya instead and make a really good company out of both products attempting to solve the same problem. To me, it’s all about solving the problem together rather than going alone,” said the CEO.
On why he accepted the acquisition, Ogallo, who now has a new role, noted that Ajua’s ability to scale customer service and experience and also help businesses was one reason and earned admiration from him. “Seeing how WayaWaya’s technology can complement Ajua’s innovative products and services, and help scale and monetize businesses, is an exciting opportunity for us, and we are happy that our teams will be collaborating to build something unique for the continent,” he added.
This is a solid infrastructure play from Ajua coming from a founder who is a massive advocate of acquisition and consolidation. Griffith believes that the two are strategies for a speedier route to new markets and channels in Africa.
“I think there are lots of ways we can build the ecosystem. There are lots of young talent building stuff, and they don’t have access to capital to get to the next stage. The question is if they want to race to the finish line or take off time and get acquired. I think there’s a huge opportunity in Africa if you want to solve complex problems by acquisition.”
There has been an uptick in local acquisitions in Africa from startups within a single country and between two countries in the past three years. For the former, Nigerian recruitment platform Jobberman’s acquisition of NGCareers last year comes to mind. And there are pan-African instances like Lagos-based hub CcHub’s acquisition of iHub, its Nairobi counterpart; Ethiopian software provider Apposit sell-off to Nigerian fintech Paga; and Johannesburg-based fintech MFS Africa acquiring Uganda’s Beyonic.
The common theme among the acquisitions (and most African acquisitions) is their undisclosed sums. For Ajua, Griffith cited regulatory issues as one reason why the company is keeping the figure under wraps.
Since launching nine years ago, Ajua has raised a total of $3.5 million, according to Crunchbase. Given the nature of this acquisition and partnership with MTN, the company might set sights on another fundraise to scale aggressively into Nigeria (a market it entered in 2019) and other African countries.
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Adobe launches a new, simplified digital asset manager
Adobe today announced the launch of a new asset management tool, Adobe Experience Manager Assets Essentials. That’s a mouthful, but while the company didn’t necessarily simplify the name, the idea here is to give teams that work with lots of digital assets an easier-to-use management experience in the Adobe Experience Cloud than Adobe’s current enterprise-centric asset management tool can offer.
In addition, Adobe is also launching the first tool to integrate this new experience: the Adobe Journey Optimizer. This new tool is meant to help users leverage their customer data to build out customer journeys and figure out the best ways to deliver messages and content along that journey.
“The push towards digital content and building these richer, engaging experiences — customers expect it,” Elliot Sedegah, director of Strategy and Product Marketing, Adobe, told me. “Almost every interaction that you go along, you expect a rich experience. And not only at that point of just having richer material, like images or video, etc., but you expect it at every point of interaction with that customer. So that customer, if you think of it, isn’t just interacting with a brand, but our customers, they think of it as a customer journey. So using the same content, from awareness to conversion to post-sale and loyalty — they expect that same story to maintain. And it’s getting increasingly hard to get to all the different touchpoints.”
Image Credits: Adobe
Like with similar products, the idea here is to create a centralized, collaborative space for content creators and the teams that use their work. In that respect, this new tool isn’t necessarily all that different from other shared online file management services. But Adobe is also leveraging some of its unique capabilities. It’s using its AI smarts and Adobe Sensei platform to help users organize and tag their assets, for example, to make them more easily searchable. And the new tool is integrated with Adobe Asset Link, so creative professionals can search, browse and edit these assets directly from Photoshop, Illustrator, InDesign and XD without having to switch context.
As Sedegah noted, not too long ago, it was mostly the creative teams and marketing that were involved in the content creation and management process. But today, this group also includes sales teams and customer support, for example, and the pandemic only accelerated this process.
Image Credits: Adobe
“[Our customers] have been forced to rethink their business models, rethink the way that they engage with customers — and it essentially accelerated this digital-everywhere process of the experiences customers get, the agility that customers expect from businesses, and then the number of people — and how they work — leveraging that content.”
So while Adobe’s enterprise asset management tools worked just fine before, the company’s users were telling it that it needed to do a better job at creating tools that made its asset management technology easier to use by more teams.
The first tool to integrate this new asset management experience directly is the Journey Optimizer. “That was a great opportunity for us to rethink that user experience that our customers wanted to deliver — and then make it easier for that person to do,” Sedegah said. “So as you’re building out a content journey — or maybe you’re designing a piece of content that’s going to get sent to maybe a customer as they engage with a brand — the digital assets appear right there for that author to use.”
Next up for integration is Workfront, the work management platform Adobe acquired last year. There’s an obvious synergy here between Workfront’s abilities to manage the planning, review and approval stages of a project and an asset management system like this.
The long-term strategy, though, is to integrate this experience across all Experience Cloud applications.
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Tellius announces $8M Series A to build ML-fueled business data query tool
Getting actionable business information into the hands of users who need it has always been a challenge. If you have to wait for experts to help you find the answers, chances are you’re going to be too late. Enter Tellius, an early-stage startup building a solution to help business users find the information they need when they need it.
Today the company announced an $8 million Series A led by Sands Capital Ventures, with participation from Grotech. Today’s investment brings the total raised to $17 million, according to the company.
CEO and founder Ajay Khanna says the company is attempting to marry two technologies that have traditionally lived in silos: business intelligence and artificial intelligence. He believes that bringing them together can lead to greater wisdom and help close the insight gap.
“Tellius is an AI-driven decision intelligence platform, and what we do is we combine machine learning — AI-driven automation — with a Google-like natural language interface, so combining the left brain and the right brain to enable business teams to get insights on the data,” Khanna told me.
The idea is to let the machine learning teams and the business analysts continue to do their thing, but provide an application where business users can put all of that to work. “We believe that to go from data to decisions, you need to know not only what happened, but why things change and how you can improve your company,” he said.
The product takes aim at three employee groups. The first is the business user, who can simply query the data with a natural language question to get results. The second is a data analyst, who can get more granular by choosing a specific model to base the query on, and finally a data scientist who can enhance the query with Python or Spark code.
It connects to various data sources, including Salesforce and Google Analytics, data lakes like Snowflake, csv files to take advantage of Excel data or cloud storage tools like Amazon S3. It comes in two versions: one that the customer can connect to the cloud infrastructure provider of choice, and one which they run as a service and manage for the customers.
Khanna says that as companies struggled to change the way they do business during the pandemic, they needed the kind of insights his company provides, and business grew 300% last year as a result.
The startup launched in 2016 after Khanna sold a previous company, which allowed him to bootstrap while in stealth. They spent a couple of years building the product and brought the first version of Tellius to market in Q3 2018. That’s when they took a $7.5 million seed round.
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Crusoe Energy is tackling energy use for cryptocurrencies and data centers and greenhouse gas emissions
The two founders of Crusoe Energy think they may have a solution to two of the largest problems facing the planet today — the increasing energy footprint of the tech industry and the greenhouse gas emissions associated with the natural gas industry.
Crusoe, which uses excess natural gas from energy operations to power data centers and cryptocurrency mining operations, has just raised $128 million in new financing from some of the top names in the venture capital industry to build out its operations — and the timing couldn’t be better.
Methane emissions are emerging as a new area of focus for researchers and policymakers focused on reducing greenhouse gas emissions and keeping global warming within the 1.5 degree target set under the Paris Agreement. And those emissions are just what Crusoe Energy is capturing to power its data centers and bitcoin mining operations.
The reason why addressing methane emissions is so critical in the short term is because these greenhouse gases trap more heat than their carbon dioxide counterparts and also dissipate more quickly. So dramatic reductions in methane emissions can do more in the short term to alleviate the global warming pressures that human industry is putting on the environment.
And the biggest source of methane emissions is the oil and gas industry. In the U.S. alone roughly 1.4 billion cubic feet of natural gas is flared daily, said Chase Lochmiller, a co-founder of Crusoe Energy. About two-thirds of that is flared in Texas, with another 500 million cubic feet flared in North Dakota, where Crusoe has focused its operations to date.
For Lochmiller, a former quant trader at some of the top American financial services institutions, and Cully Cavness, a third generation oil and gas scion, the ability to capture natural gas and harness it for computing operations is a natural combination of the two men’s interests in financial engineering and environmental preservation.
NEW TOWN, ND – AUGUST 13: View of three oil wells and flaring of natural gas on The Fort Berthold Indian Reservation near New Town, ND on August 13, 2014. About 100 million dollars’ worth of natural gas burns off per month because a pipeline system isn’t in place yet to capture and safely transport it. The Three Affiliated Tribes on Fort Berthold represent Mandan, Hidatsa and Arikara Nations. It’s also at the epicenter of the fracking and oil boom that has brought oil royalties to a large number of Native Americans living there. (Photo by Linda Davidson / The Washington Post via Getty Images)
The two Denver natives met in prep-school and remained friends. When Lochmiller left for MIT and Cavness headed off to Middlebury they didn’t know that they’d eventually be launching a business together. But through Lochmiller’s exposure to large-scale computing and the financial services industry, and Cavness’ assumption of the family business, they came to the conclusion that there had to be a better way to address the massive waste associated with natural gas.
Conversation around Crusoe Energy began in 2018 when Lochmiller and Cavness went climbing in the Rockies to talk about Lochmiller’s trip to Mt. Everest.
When the two men started building their business, the initial focus was on finding an environmentally friendly way to deal with the energy footprint of bitcoin mining operations. It was this pitch that brought the company to the attention of investors at Polychain, the investment firm started by Olaf Carlson-Wee (and Lochmiller’s former employer), and investors like Bain Capital Ventures and new investor Valor Equity Partners.
(This was also the pitch that Lochmiller made to me to cover the company’s seed round. At the time I was skeptical of the company’s premise and was worried that the business would just be another way to prolong the use of hydrocarbons while propping up a cryptocurrency that had limited actual utility beyond a speculative hedge against governmental collapse. I was wrong on at least one of those assessments.)
“Regarding questions about sustainability, Crusoe has a clear standard of only pursuing projects that are net reducers of emissions. Generally the wells that Crusoe works with are already flaring and would continue to do so in the absence of Crusoe’s solution. The company has turned down numerous projects where they would be a buyer of low-cost gas from a traditional pipeline because they explicitly do not want to be net adders of demand and emissions,” wrote a spokesman for Valor Equity in an email. “In addition, mining is increasingly moving to renewables and Crusoe’s approach to stranded energy can enable better economics for stranded or marginalized renewables, ultimately bringing more renewables into the mix. Mining can provide an interruptible base load demand that can be cut back when grid demand increases, so overall the effect to incentivize the addition of more renewable energy sources to the grid.”
Other investors have since piled on, including: Lowercarbon Capital, DRW Ventures, Founders Fund, Coinbase Ventures, KCK Group, Upper90, Winklevoss Capital, Zigg Capital and Tesla co-founder JB Straubel.
The company now operates 40 modular data centers powered by otherwise wasted and flared natural gas throughout North Dakota, Montana, Wyoming and Colorado. Next year that number should expand to 100 units as Crusoe enters new markets such as Texas and New Mexico. Since launching in 2018, Crusoe has emerged as a scalable solution to reduce flaring through energy intensive computing, such as bitcoin mining, graphical rendering, artificial intelligence model training and even protein folding simulations for COVID-19 therapeutic research.
Crusoe boasts 99.9% combustion efficiency for its methane, and is also bringing additional benefits in the form of new networking buildout at its data center and mining sites. Eventually, this networking capacity could lead to increased connectivity for rural communities surrounding the Crusoe sites.
Currently, 80% of the company’s operations are being used for bitcoin mining, but there’s increasing demand for use in data center operations, and some universities, including Lochmiller’s alma mater of MIT, are looking at the company’s offerings for their own computing needs.
“That’s very much in an incubated phase right now,” said Lochmiller. “A private alpha where we have a few test customers… we’ll make that available for public use later this year.”
Crusoe Energy Systems should have the lowest data center operating costs in the world, according to Lochmiller and while the company will spend money to support the infrastructure buildout necessary to get the data to customers, those costs are negligible when compared to energy consumption, Lochmiller said.
The same holds true for bitcoin mining, where the company can offer an alternative to coal-powered mining operations in China and the construction of new renewable capacity that wouldn’t be used to service the grid. As cryptocurrencies look for a way to blunt criticism about the energy usage involved in their creation and distribution, Crusoe becomes an elegant solution.
Institutional and regulatory tailwinds are also propelling the company forward. Recently New Mexico passed new laws limiting flaring and venting to no more than 2% of an operator’s production by April of next year, and North Dakota is pushing for incentives to support on-site flare capture systems while Wyoming signed a law creating incentives for flare gas reduction applied to bitcoin mining. The world’s largest financial services firms are also taking a stand against flare gas with BlackRock calling for an end to routine flaring by 2025.
“Where we view our power consumption, we draw a very clear line in our project evaluation stage where we’re reducing emissions for an oil and gas projects,” Lochmiller said.
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Longevity startup Longevica plans to launch supplements based on long-term research
A biotech company that has spent 11 years researching supplements to increase human longevity plans to launch its supplements later this year. Longevica says it has attracted a total of $13 million from investors, including Alexander Chikunov, a longevity investor, who is also president of the company.
Longevica says it created a biotechnology platform for longevity after researching the life-span of laboratory mice. It now aims to produce medicines, dietary supplements and food products.
The longevity space is a growing sector for tech startups. Google backed the launch of Calico in the space. Late last year Humanity Inc. raised $2.5 million in a round led by Boston fund One Way Ventures for its longevity company that will leverage AI to maximize people’s health span.
Longevica’s CEO Aynar Abdrakhmanov, backing up his company’s aim to tap the desire for people to live longer, said: “According to the WHO, by 2050, 2 billion people will be 60+ years old. By 2026, the sales of services and products for this audience will be around $27 trillion… By comparison, it was only $17 trillion in 2019.”
According to CB Insights, life-extension startups raised a record total of $800 million in 2018 alone. And there are some high-profile investors in the space.
PayPal co-founder Peter Thiel invested in Unity Biotechnology, which is developing drugs to treat diseases that accompany aging. And Ethereum founder Vitalik Buterin invested $2.4 million worth of Ether into the nonprofit SENS Research foundation, where famed longevity research Aubrey de Grey is chief science officer, to develop rejuvenation biotechnologies.
Longevica is basing its platform on the work of scientist Alexey Ryazanov, who holds 10 U.S. patents in the space, and is a longtime researcher into the regulation of protein biosynthesis cells.
Chikunov said: “I gathered scientists known in this field to discuss their approaches to the problem. Then Alexey Ryazanov proposed the innovative idea of large-scale screening of all known pharmacological substances on long-lived mice in order to find those that prolong life.”
Under the leadership of Ryazanov, Longevica says it used 20,000 long-lived female mice and 1,033 drugs representing compounds from 62 pharmacological classes to find five substances that statistically significantly increased longevity by 16-22%: Inulin, Pentetic Acid, Clofibrate, Proscillaridin A, D-Valine.
From this work, they formed a view about the elimination of certain heavy metals from the body and improved the body’s ability to remove toxins.
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5 emerging use cases for productivity infrastructure in 2021
When the world flipped upside down last year, nearly every company in every industry was forced to implement a remote workforce in just a matter of days — they had to scramble to ensure employees had the right tools in place and customers felt little to no impact. While companies initially adopted solutions for employee safety, rapid response and short-term air cover, they are now shifting their focus to long-term, strategic investments that empower growth and streamline operations.
As a result, categories that make up productivity infrastructure — cloud communications services, API platforms, low-code development tools, business process automation and AI software development kits — grew exponentially in 2020. This growth was boosted by an increasing number of companies prioritizing tools that support communication, collaboration, transparency and a seamless end-to-end workflow.
Productivity infrastructure is on the rise and will continue to be front and center as companies evaluate what their future of work entails and how to maintain productivity, rapid software development and innovation with distributed teams.
According to McKinsey & Company, the pandemic accelerated the share of digitally enabled products by seven years, and “the digitization of customer and supply-chain interactions and of internal operations by three to four years.” As demand continues to grow, companies are taking advantage of the benefits productivity infrastructure brings to their organization both internally and externally, especially as many determine the future of their work.
Automate workflows and mitigate risk
Developers rely on platforms throughout the software development process to connect data, process it, increase their go-to-market velocity and stay ahead of the competition with new and existing products. They have enormous amounts of end-user data on hand, and productivity infrastructure can remove barriers to access, integrate and leverage this data to automate the workflow.
Access to rich interaction data combined with pre-trained ML models, automated workflows and configurable front-end components enables developers to drastically shorten development cycles. Through enhanced data protection and compliance, productivity infrastructure safeguards critical data and mitigates risk while reducing time to ROI.
As the post-pandemic workplace begins to take shape, how can productivity infrastructure support enterprises where they are now and where they need to go next?
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Fraud prevention platform Sift raises $50M at over $1B valuation, eyes acquisitions
With the increase of digital transacting over the past year, cybercriminals have been having a field day.
In 2020, complaints of suspected internet crime surged by 61%, to 791,790, according to the FBI’s 2020 Internet Crime Report. Those crimes — ranging from personal and corporate data breaches to credit card fraud, phishing and identity theft — cost victims more than $4.2 billion.
For companies like Sift — which aims to predict and prevent fraud online even more quickly than cybercriminals adopt new tactics — that increase in crime also led to an increase in business.
Last year, the San Francisco-based company assessed risk on more than $250 billion in transactions, double from what it did in 2019. The company has over several hundred customers, including Twitter, Airbnb, Twilio, DoorDash, Wayfair and McDonald’s, as well a global data network of 70 billion events per month.
To meet the surge in demand, Sift said today it has raised $50 million in a funding round that values the company at over $1 billion. Insight Partners led the financing, which included participation from Union Square Ventures and Stripes.
While the company would not reveal hard revenue figures, President and CEO Marc Olesen said that business has tripled since he joined the company in June 2018. Sift was founded out of Y Combinator in 2011, and has raised a total of $157 million over its lifetime.
The company’s “Digital Trust & Safety” platform aims to help merchants not only fight all types of internet fraud and abuse, but to also “reduce friction” for legitimate customers. There’s a fine line apparently between looking out for a merchant and upsetting a customer who is legitimately trying to conduct a transaction.
Sift uses machine learning and artificial intelligence to automatically surmise whether an attempted transaction or interaction with a business online is authentic or potentially problematic.
Image Credits: Sift
One of the things the company has discovered is that fraudsters are often not working alone.
“Fraud vectors are no longer siloed. They are highly innovative and often working in concert,” Olesen said. “We’ve uncovered a number of fraud rings.”
Olesen shared a couple of examples of how the company thwarted fraud incidents last year. One recently involved money laundering through donation sites where fraudsters tested stolen debit and credit cards through fake donation sites at guest checkout.
“By making small donations to themselves, they laundered that money and at the same tested the validity of the stolen cards so they could use it on another site with significantly higher purchases,” he said.
In another case, the company uncovered fraudsters using Telegram, a social media site, to make services available, such as food delivery, with stolen credentials.
The data that Sift has accumulated since its inception helps the company “act as the central nervous system for fraud teams.” Sift says that its models become more intelligent with every customer that it integrates.
Insight Partners Managing Director Jeff Lieberman, who is a Sift board member, said his firm initially invested in Sift in 2016 because even at that time, it was clear that online fraud was “rapidly growing.” It was growing not just in dollar amounts, he said, but in the number of methods cybercriminals used to steal from consumers and businesses.
“Sift has a novel approach to fighting fraud that combines massive data sets with machine learning, and it has a track record of proving its value for hundreds of online businesses,” he wrote via email.
When Olesen and the Sift team started the recent process of fundraising, Insight actually approached them before they started talking to outside investors “because both the product and business fundamentals are so strong, and the growth opportunity is massive,” Lieberman added.
“With more businesses heavily investing in online channels, nearly every one of them needs a solution that can intelligently weed out fraud while ensuring a seamless experience for the 99% of transactions or actions that are legitimate,” he wrote.
The company plans to use its new capital primarily to expand its product portfolio and to scale its product, engineering and sales teams.
Sift also recently tapped Eu-Gene Sung — who has worked in financial leadership roles at Integral Ad Science, BSE Global and McCann — to serve as its CFO.
As to whether or not that meant an IPO is in Sift’s future, Olesen said that Sung’s experience of taking companies through a growth phase such as what Sift is experiencing would be valuable. The company is also for the first time looking to potentially do some M&A.
“When we think about expanding our portfolio, it’s really a buy/build partner approach,” Olesen said.
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Applied XL raises $1.5M to build ‘editorial algorithms’ that track real-time data
Applied XL, a startup creating machine learning tools with what it describes as a journalistic lens, is announcing that it has raised $1.5 million in seed funding.
Emerging from the Newlab Venture Studio last year, the company is led by CEO Francesco Marconi (previously R&D chief at The Wall Street Journal) and CTO Erin Riglin (former WSJ automation editor). Marconi told me that Applied XL started out by working on a number of different data and machine learning projects as it looked for product-market fit — but it’s now ready to focus on its first major industry, life sciences, with a product launching broadly this summer.
He said that Applied XL’s technology consists of “essentially a swarm of editorial algorithms developed by computational journalists.” These algorithms benefit from “the point of view and expertise of journalists, as well as taking into account things like transparency and bias and other issues that derive from straightforward machine learning development.”
Marconi compared the startup to Bloomberg and Dow Jones, suggesting that just as those companies were able to collect and standardize financial data, Applied XL will do the same in a variety of other industries.
He suggested that it makes sense to start with life sciences because there’s both a clear need and high demand. Customers might include competitive intelligence teams at pharmaceutical companies and life sciences funds, which might normally try to track this data by searching large databases and receiving “data vomit” in response.
Update: Marconi provided additional context about the startup’s initial focus via email, writing,”The life science industry has specific information needs currently not being fully met by existing private and public data sources; for example, many existing data providers cannot provide the kind of real-time context life science organizations require to make decisions on clinical development, competitive positioning and commercialization.”
“Our solution for scaling [the ability to spot] newsworthy events is to design the algorithms with the same principles that a journalist would approach a story or an investigation,” Marconi said. “It might be related to the size of the study and the number of patients, it might be related to a drug that is receiving a lot of attention in terms of R&D investment. All of these criteria that a science journalist would bring to clinical trials, we’re encoding that into algorithms.”
Eventually, Marconi said the startup could expand into other categories, building industry “micro models.” Broadly speaking, he suggested that the company’s mission is “measuring the health of people, places and the planet.”
The seed funding was led by Tuesday Capital, with participation from Frog Ventures, Correlation Ventures, Team Europe (the investment arm of Delivery Hero co-founder Lukasz Gadowski) and Ringier executive Robin Lingg.
“With industry leading real-time data pipelining, Applied XL is building the tools and platform for the next generation of data-based decision making that business leaders will rely on for decades,” said Tuesday Capital partner Prashant Fonseka in a statement. “Data is the new oil and the team at Applied XL have figured out how to identify, extract and leverage one of the most valuable commodities in the world.”
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Laiye, China’s answer to UiPath, closes $50 million Series C+
Robotic process automation has become buzzy in the last few months. New York-based UiPath is on course to launch an initial public offering after gaining an astounding valuation of $35 billion in February. Over in China, homegrown RPA startup Laiye is making waves as well.
Laiye, which develops software to mimic mundane workplace tasks like keyboard strokes and mouse clicks, announced it has raised $50 million in a Series C+ round. The proceeds came about a year after the Beijing-based company pulled in the first tranche of its Series C round.
Laiye, six years old and led by Baidu veterans, has raised over $130 million to date according to public information.
Leading investors in the Series C+ round were Ping An Global Voyager Fund, an early-stage strategic investment vehicle of Chinese financial conglomerate Ping An, and Shanghai Artificial Intelligence Industry Equity Investment Fund, a government-backed fund. Other participants included Lightspeed China Partners, Lightspeed Venture Partners, Sequoia China and Wu Capital.
RPA tools are attracting companies looking for ways to automate workflows during COVID-19, which has disrupted office collaboration. But the enterprise tech was already gaining traction prior to the pandemic. As my colleague Ron Miller wrote this month on the heels of UiPath’s S1 filing:
“The category was gaining in popularity by that point because it addressed automation in a legacy context. That meant companies with deep legacy technology — practically everyone not born in the cloud — could automate across older platforms without ripping and replacing, an expensive and risky undertaking that most CEOs would rather not take.”
In one case, Laiye’s RPA software helped the social security workers in the city of Lanzhou speed up their account reconciliation process by 75%; in the past, they would have to type in pensioners’ information and check manually whether the details were correct.
In another instance, Laiye’s chatbot helped automate the national population census in several southern Chinese cities, freeing census takers from visiting households door-to-door.
Laiye said its RPA enterprise business achieved positive cash flow and its chatbot business turned profitability in the fourth quarter of 2020. Its free-to-use edition has amassed over 400,000 developers, and the company also runs a bot marketplace connecting freelance developers to small-time businesses with automation needs.
Laiye is expanding its services globally and boasts that its footprint now spans Asia, the United States and Europe.
“Laiye aims to foster the world’s largest developer community for software robots and built the world’s largest bot marketplace in the next three years, and we plan to certify at least one million software robot developers by 2025,” said Wang Guanchun, chair and CEO of Laiye.
“We believe that digital workforce and intelligent automation will reach all walks of life as long as more human workers can be up-skilled with knowledge in RPA and AI”.
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