robotic process automation
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DeepSee.ai raises $22.6M Series A for its AI-centric process automation platform
DeepSee.ai, a startup that helps enterprises use AI to automate line-of-business problems, today announced that it has raised a $22.6 million Series A funding round led by led by ForgePoint Capital. Previous investors AllegisCyber Capital and Signal Peak Ventures also participated in this round, which brings the Salt Lake City-based company’s total funding to date to $30.7 million.
The company argues that it offers enterprises a different take on process automation. The industry buzzword these days is “robotic process automation,” but DeepSee.ai argues that what it does is different. I describe its system as “knowledge process automation” (KPA). The company itself defines this as a system that “mines unstructured data, operationalizes AI-powered insights, and automates results into real-time action for the enterprise.” But the company also argues that today’s bots focus on basic task automation that doesn’t offer the kind of deeper insights that sophisticated machine learning models can bring to the table. The company also stresses that it doesn’t aim to replace knowledge workers but helps them leverage AI to turn into actionable insights the plethora of data that businesses now collect.
Image Credits: DeepSee.ai
“Executives are telling me they need business outcomes and not science projects,” writes DeepSee.ai CEO Steve Shillingford. “And today, the burgeoning frustration with most AI-centric deployments in large-scale enterprises is they look great in theory but largely fail in production. We think that’s because right now the current ‘AI approach’ lacks a holistic business context relevance. It’s unthinking, rigid and without the contextual input of subject-matter experts on the ground. We founded DeepSee to bridge the gap between powerful technology and line-of-business, with adaptable solutions that empower our customers to operationalize AI-powered automation — delivering faster, better and cheaper results for our users.”
To help businesses get started with the platform, DeepSee.ai offers three core tools. There’s DeepSee Assembler, which ingests unstructured data and gets it ready for labeling, model review and analysis. Then, DeepSee Atlas can use this data to train AI models that can understand a company’s business processes and help subject-matter experts define templates, rules and logic for automating a company’s internal processes. The third tool, DeepSee Advisor, meanwhile focuses on using text analysis to help companies better understand and evaluate their business processes.
Currently, the company’s focus is on providing these tools for insurance companies, the public sector and capital markets. In the insurance space, use cases include fraud detection, claims prediction and processing, and using large amounts of unstructured data to identify patterns in agent audits, for example.
That’s a relatively limited number of industries for a startup to operate in, but the company says it will use its new funding to accelerate product development and expand to new verticals.
“Using KPA, line-of-business executives can bridge data science and enterprise outcomes, operationalize AI/ML-powered automation at scale, and use predictive insights in real time to grow revenue, reduce cost and mitigate risk,” said Sean Cunningham, managing director of ForgePoint Capital. “As a leading cybersecurity investor, ForgePoint sees the daily security challenges around insider threat, data visibility and compliance. This investment in DeepSee accelerates the ability to reduce risk with business automation and delivers much-needed AI transparency required by customers for implementation.”
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Address cybersecurity challenges before rolling out robotic process automation
Robotic process automation (RPA) is making a major impact across every industry. But many don’t know how common the technology is and may not realize that they are interacting with it regularly. RPA is a growing megatrend — by 2022, Gartner predicts that 90% of organizations globally will have adopted RPA and its received over $1.8 billion in investments in the past two years alone.
Due to the shift to remote work, companies across every industry have implemented some form of RPA to simplify their operations to deal with an influx of requests. For example, when major airlines were bombarded with cancellation requests at the onset of the pandemic, RPA became essential to their customer service strategy.
Throughout 2021, security teams will begin to realize the unconsidered security challenges of robotic process automation.
According to Forrester, one major airline had over 120,000 cancellations during the first few weeks of the pandemic. By utilizing RPA to handle the influx of cancellations, the airline was able to simplify its refund process and assist customers in a timely matter.
Delivering this type of streamlined cancellation process with such high demand would have been extremely challenging, if not impossible, without RPA technology.
The multitude of other RPA use cases that have popped up since COVID-19 have made it evident that RPA isn’t going away anytime soon. In fact, interest in the usage of RPA is at an unprecedented high. Gartner inquiries related to RPA increased over 1,000% during 2020 as companies continue to invest.
However, there’s one big issue that’s commonly overlooked when it comes to RPA — security. Like we’ve seen with other innovations, the security aspect of RPA isn’t implemented in the early stages of development — leaving organizations vulnerable to cybercriminals.
If the security vulnerabilities of RPA aren’t addressed quickly, there will be a string of significant RPA breaches in 2021. However, by realizing that these new “digital coworkers” have identities of their own, companies can secure RPA before they make the headlines as the latest major breach.
Understanding RPA’s digital identity
With RPA, digital workers are created to take over repetitive manual tasks that have been traditionally performed by humans. Their interaction directly with business applications mimics the way humans use credentials and privilege — ultimately giving the robot an identity of its own. An identity that is created and operates much faster than any human identity but doesn’t eat, sleep, take holidays, go on strike or even get paid.
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Dooly closes on $20M for AI-based tools to help salespeople with their busywork
Robotic process automation has taken the enterprise world by storm by providing a set of tools for those doing repetitive, volume-based tasks to use software to remove some of that labor to let those people focus on more complicated tasks. Today a startup that’s taken some of that ethos and is applying it to more individualized work — that of salespeople — is announcing some funding.
Dooly, a Vancouver, Canada-based startup that has built a set of AI-based tools that automate the busywork that goes into updating data in their sales software, and namely Salesforce, has picked up $20 million in funding to build out its business, which to date has picked up a number of customers among the sales teams of enterprise-focused software companies. They include Airtable, Asana, Intercom, Contentful, Vidyard, BigCommerce, Liftoff and CrowdRiff.
Its aim is to make sales software more useful for salespeople by eliminating the work that goes into inputting data into those systems.
“Really they’ve just created a mountain of virtual filing cabinets,” Kris Hartvigsen, Dooly’s founder and CEO, said in an emailed interview with me. “Filing cabinets just wait for drawers to be opened — or in the case of enterprise software, reports to be pulled and data to be input. We know people are capturing information across the business and our job is to make sure that the people and systems across the business have a better, faster, more far-reaching way of staying informed.”
The funding is being announced today, but it was actually raised in two tranches that had not previously been disclosed. A $3.3 million seed round was led by Boldstart Ventures and also included BoxGroup. Its $17 million Series A, meanwhile, was led by Addition, with Boldstart and BoxGroup again participating, along with Battery Ventures, Mantis (representing musicians The Chainsmokers) and SV Angel.
Alongside the VCs, there are a number of interesting strategic individual investors, too. Daniel Dines and Brandon Deer of UiPath (the RPA connection clearly is not one that I’m imagining!); Allison Pickens, the ex-COO of Gainsight; Zander Lurie of SurveyMonkey); Jay Simons, ex-CEO of Atlassian); Harry Stebbings; and other unnamed investors are all also involved. Ed Sim of Boldstart is joining Dooly’s board of directors with this announcement.
The challenge that Dooly has been built to solve is that while there are a lot of tools out there now to help salespeople source leads, manage the progress of their sales, give them advice and other helpful material to supplement their charm and the basic strength of a product, manage customers once they’ve signed on, and so on, all of them still require something important to work: a time commitment from salespeople to keep them updated with information. Ironically, the more tools to help them that are built, the more time salespeople need to spend feeding them data.
Even more ironically, one of the big daddies of the problem — the somewhat overweight Salesforce — has published figures (cited by Dooly) that say salespeople spend just 34% of their time selling. The rest (minus trips to get coffee to stay caffeinated) seems to be about data entry.
The idea with Dooly is that you turn it on, connect it to what you are using — starting with Salesforce — and Dooly lets you make notes which it then organises and puts into the right places in the rest of your apps.
“When a salesperson starts using Dooly, the ‘aha moment’ is pretty immediate,” Hartvigsen said. “Whether they want to do quick pipeline edits or push their notes to Salesforce, we don’t ask the user to learn any new patterns they aren’t familiar with, we just automate a bunch of things they hate doing, often comparing those traditional chores to clerical work.” For example, he notes, when they sync a note, Dooly automatically updates any Salesforce with any contacts found in the meeting, updates fields, adds to-dos, logs activities, and pushes messages to the appropriate internal stakeholders on Slack, all in the same motion.
The product currently also integrates with Slack, G-Cal and G-Drive, because, Hartvigsen said, “we see this as an area where there is the most immediate friction and an area that was in need of disruption.” He added that the plan is to add more integrations over time. “We see need to expand the solutions that anchor to our connected workspace, with our near-term focus being the systems that touch revenue teams,” he said.
The design of Dooly seems to be about investing a little in order to save more. On average people are using Dooly between 2.5 and 5 hours each day, but Hartvigsen claims that right now the system helps people make up for more hours each week in lost productivity. Its pricing starts at $25 per user per month, going up depending on features and use.
There are quite literally thousands of products out in the market today, and among them hundreds of strong ones, being built to help salespeople with different aspects of getting their jobs done. I’ve written about quite a few of them, and I’ve actually asked companies about whether they are tackling the very issue that Dooly has identified and is trying to fix.
They weren’t, but that doesn’t mean that they won’t. Chief among them are companies like UiPath and Salesforce, which sit on different sides of this problem and could well move into it as they keep growing. (Having UiPath as a backer by way of its founder and a senior executive points to a relationship there, which is interesting.)
In the meantime, there have been some other interesting innovations using AI to improve the sales process, with companies like Pipedrive, Clari, Seismic, Chorus.ai and Gong all using natural language, machine learning and big data analytics (itself helped by AI) to improve how sales get done.
“The first thing we noticed when we met the Dooly team was the thoughtful design-first approach to product that engendered tons of customer love. This love was inherent not only on popular ratings sites like G2 Crowd but also in the individual usage and viral adoption throughout companies with only one initial user,” said Ed Sim, founder and managing partner at Boldstart Ventures in a statement. “Dooly is revolutionizing the note-taking experience for customer facing end users from sales to customer success to product.”
“Dooly is relentlessly focused on building a user-first experience for its customers to seamlessly create workflows and unlock new revenue opportunities,” said Lee Fixel, founder of Addition, added. “We are thrilled to support Dooly as it continues to scale and enhance the sales function for more businesses.”
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Notable Health seeks to improve COVID-19 vaccine administration through intelligent automation
Efficient and cost-effective vaccine distribution remains one of the biggest challenges of 2021, so it’s no surprise that startup Notable Health wants to use their automation platform to help. Initially started to address the nearly $250 billion annual administrative costs in healthcare, Notable Health launched in 2017 to use automation to replace time-consuming and repetitive simple tasks in health industry admin. In early January of this year, they announced plans to use that technology as a way to help manage vaccine distribution.
“As a physician, I saw firsthand that with any patient encounter, there are 90 steps or touch points that need to occur,” said Notable Health Medical Director Muthu Alagappan in an interview. “It’s our hypothesis that the vast majority of those points can be automated.”
Notable Health’s core technology is a platform that uses robotic process automation (RPA), natural language processing (NLP) and machine learning to find eligible patients for the COVID-19 vaccine. Combined with data provided by hospital systems’ electronic health records, the platform helps those qualified to receive the vaccine set up appointments and guides them to other relevant educational resources.
“By leveraging intelligent automation to identify, outreach, educate and triage patients, health systems can develop efficient and equitable vaccine distribution workflows,” said Notable Health strategic advisor and Biden Transition COVID-19 Advisory Board Member Dr. Ezekiel Emanuel, in a press release.
Making vaccine appointments has been especially difficult for older Americans, many of whom have reportedly struggled with navigating scheduling websites. Alagappan sees that as a design problem. “Technology often gets a bad reputation, because it’s hampered by the many bad technology experiences that are out there,” he said.
Instead, he thinks Notable Health has kept the user in mind through a more simplified approach, asking users only for basic and easy-to-remember information through a text message link. “It’s that emphasis on user-centric design that I think has allowed us to still have really good engagement rates even with older populations,” he said.
While the startup’s platform will likely help hospitals and health systems develop a more efficient approach to vaccinations, its use of RPA and NLP holds promise for future optimization in healthcare. Leaders of similar technology in other industries have already gone on to have multibillion dollar valuations and continue to attract investors’ interest.
Artificial intelligence is expected to grow in healthcare over the next several years, but Alagappan argues that combining that with other, more readily available intelligent technologies is also an important step toward improved care. “When we say intelligent automation, we’re really referring to the marriage of two concepts: artificial intelligence — which is knowing what to do — and robotic process automation — which is knowing how to do it,” he said. That dual approach is what he says allows Notable Health to bypass administrative bottlenecks in healthcare, instructing bots to carry out those tasks in an efficient and adaptable way.
So far, Notable Health has worked with several hospital systems across multiple states in using their platform for vaccine distribution and scheduling, and are now using the platform to reach out to tens of thousands of patients per day.
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UiPath files confidential IPO paperwork with SEC
UiPath, the robotic process automation startup that has been growing like gangbusters, filed confidential paperwork with the SEC today ahead of a potential IPO.
“UiPath, Inc. today announced that it has submitted a draft registration statement on a confidential basis to the U.S. Securities and Exchange Commission (the “SEC”) for a proposed public offering of its Class A common stock. The number of shares of Class A common stock to be sold and the price range for the proposed offering have not yet been determined. UiPath intends to commence the public offering following completion of the SEC review process, subject to market and other conditions,” the company said in a statement.
The company has raised more than $1.2 billion from investors like Accel, CapitalG, Sequoia and others. Its biggest raise was $568 million led by Coatue on an impressive $7 billion valuation in April 2019. It raised another $225 million led by Alkeon Capital last July when its valuation soared to $10.2 billion.
At the time of the July raise, CEO and co-founder Daniel Dines did not shy away from the idea of an IPO, telling me:
We’re evaluating the market conditions and I wouldn’t say this to be vague, but we haven’t chosen a day that says on this day we’re going public. We’re really in the mindset that says we should be prepared when the market is ready, and I wouldn’t be surprised if that’s in the next 12-18 months.
This definitely falls within that window. RPA helps companies take highly repetitive manual tasks and automate them. So for example, it could pull a number from an invoice, fill in a number in a spreadsheet and send an email to accounts payable, all without a human touching it.
It is a technology that has great appeal right now because it enables companies to take advantage of automation without ripping and replacing their legacy systems. While the company has raised a ton of money, and seen its valuation take off, it will be interesting to see if it will get the same positive reception as companies like Airbnb, C3.ai and Snowflake.
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Microsoft brings new process mining features to Power Automate
Power Automate is Microsoft’s platform for streamlining repetitive workflows — you may remember it under its original name: Microsoft Flow. The market for these robotic process automation (RPA) tools is hot right now, so it’s no surprise that Microsoft, too, is doubling down on its platform. Only a few months ago, the team launched Power Automate Desktop, based on its acquisition of Softomotive, which helps users automate workflows in legacy desktop-based applications, for example. After a short time in preview, Power Automate Desktop is now generally available.
The real news today, though, is that the team is also launching a new tool, the Process Advisor, which is now in preview as part of the Power Automate platform. This new process mining tool provides users with a new collaborative environment where developers and business users can work together to create new automations.
The idea here is that business users are the ones who know exactly how a certain process works. With Process Advisor, they can now submit recordings of how they process a refund, for example, and then submit that to the developers, who are typically not experts in how these processes usually work.
What’s maybe just as important is that a system like this can identify bottlenecks in existing processes where automation can help speed up existing workflows.
Image Credits: Microsoft
“This goes back to one of the things that we always talk about for Power Platform, which, it’s a corny thing, but it’s that development is a team sport,” Charles Lamanna, Microsoft’s corporate VP for its Low Code Application Platform, told me. “That’s one of our big focuses: how to bring people to collaborate and work together who normally don’t. This is great because it actually brings together the business users who live the process each and every day with a specialist who can build the robot and do the automation.”
The way this works in the backend is that Power Automate’s tools capture exactly what the users do and click on. All this information is then uploaded to the cloud and — with just five or six recordings — Power Automate’s systems can map how the process works. For more complex workflows, or those that have a lot of branches for different edge cases, you likely want more recordings to build out these processes, though.
Image Credits: Microsoft
As Lamanna noted, building out these workflows and process maps can also help businesses better understand the ROI of these automations. “This kind of map is great to go build an automation on top of it, but it’s also great because it helps you capture the ROI of each automation you do because you’ll know for each step how long it took you,” Lamanna said. “We think that this concept of Process Advisor is probably going to be one of the most important engines of adoption for all these low-code/no-code technologies that are coming out. Basically, it can help guide you to where it’s worth spending the energy, where it’s worth training people, where it’s worth building an app, or using AI, or building a robot with our RPA like Power Automate.”
Lamanna likened this to the advent of digital advertising, which for the first time helped marketers quantify the ROI of advertising.
The new process mining capabilities in Power Automate are now available in preview.
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Microsoft brings new robotic process automation features to its Power Platform
Earlier this year, Microsoft acquired Softomotive, a player in the low-code robotic process automation space with a focus on Windows. Today, at its Ignite conference, the company is launching Power Automate Desktop, a new application based on Softomotive’s technology that lets anyone automate desktop workflows without needing to program.
“The big idea of Power Platform is that we want to go make it so development is accessible to everybody,” Charles Lamanna, Microsoft’s corporate VP for its low-code platform, told me. “And development includes understanding and reporting on your data with Power BI, building web and mobile applications with Power Apps, automating your tasks — whether it’s through robotic process automation or workflow automation — with Power Automate, or building chatbots and chat-based experiences with Power Virtual Agent.”
Power Automate already allowed users to connect web-based applications, similar to Zapier and IFTTT, but the company also launched a browser extension late last year to help users connect native system components to Power Automate. Now, with the integration of the Softomotive technology and the launch of this new low-code Windows application, it’s taking this integration into the native Windows user interface one step further.
“Everything still runs in the cloud and still connects to the cloud, but you now have a rich desktop application to author and record your UI automations,” Lamanna explained. He likened it to an “ultimate connector,” noting that the “ultimate API is just the UI.”
He also stressed that the new app feels like any other modern Office app, like Outlook (which is getting a new Mac version today, by the way) or Word. And like the modern versions of those apps, Power Automate Desktop derives a lot of its power from being connected to the cloud.
It’s also worth noting that Power Automate isn’t just a platform for automating simple two or three-step processes (like sending you a text message when your boss emails you), but also for multistep, business-critical workflows. T-Mobile, for example, is using the platform to automate some of the integration processes between its systems and Sprint.
Lamanna noted that for some large enterprises, adopting these kinds of low-code services necessitates a bit of a culture shift. IT still needs to have some insights into how these tools are used, after all, to ensure that data is kept safe, for example.
Another new feature the company announced today is an integration between the Power Platform and GitHub, which is now in public preview. The idea here is to give developers the ability to create their own software lifecycle workflows. “One of the core ideas of Power Platform is that it’s low code,” Lamanna said. “So it’s built first for business users, business analysts, not the classical developers. But pro devs are welcome. The saying I have is: we’re throwing a party for business users, but pro devs are also invited to the party.” But to get them onto the platform, the team wants to meet them where they are and let them use the tools they already use — and that’s GitHub (and Visual Studio and Visual Studio Code).
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EasySend raises $16M from Intel, more for its no-code approach to automating B2C interfaces
No-code and low-code software have become increasingly popular ways for companies — especially those that don’t count technology as part of their DNA — to bring in more updated IT processes without the heavy lifting needed to build and integrate services from the ground up.
As a mark of that trend, today, a company that has taken this approach to speeding up customer experience is announcing some funding. EasySend, an Israeli startup which has built a no-code platform for insurance companies and other regulated businesses to build out forms and other interfaces to take in customer information and subsequently use AI systems to process it more efficiently, is announcing that it has raised $16 million.
The funding has actually come in two tranches, a $5 million seed round from Vertex Ventures and Menora Insurance that it never disclosed, and another $11 million round that closed more recently, led by Hanaco with participation from Intel Capital. The company is already generating revenue, and did so from the start, enough that it was actually bootstrapped for the first three years of its life.
Tal Daskal, EasySend’s CEO and co-founder, said that the funding being announced today will be used to help it expand into more verticals: up to now its primary target has been insurance companies, although organically it’s picked up customers from a number of other verticals, such as telecoms carriers, banks and more.
The plan will be now to hone in on specifically marketing to and building solutions for the financial services sector, as well as hiring and expanding in Asia, Europe and the US.
Longer term, he said, that another area EasySend might like to look at more in the future is robotic process automation (RPA). RPA, and companies that deal in it like UIPath, Automation Anywhere and Blue Prism, is today focused on the back office, and EasySend’s focus on the “front office” integrates with leaders in that area. But over time, it would make sense for EasySend to cover this in a more holistic way, he added.
Menora was a strategic backer: it’s one of the largest insurance providers in Israel, Daskal said, and it used EasySend to build out better ways for consumers to submit data for claims and apply for insurance.
Intel, he said, is also strategic although how is still being worked out: what’s notable to mention here is that Intel has been building out a huge autonomous driving business in Israel, anchored by MobileEye, and not only will insurance (and overall risk management) play a big part in how that business develops, but longer term you can see how there will be a need for a lot of seamless customer interactions (and form filling) between would-be car owners, operators, and passengers in order for services to operate more efficiently.
“Intel Capital chose to invest in EasySend because of its intelligent and impactful approach to accelerating digital transformation to improve customer experiences,” said Nick Washburn, senior managing director, Intel Capital, in a statement. “EasySend’s no-code platform utilizes AI to digitize thousands of forms quickly and easily, reducing development time from months to days, and transforming customer journeys that have been paper-based, inefficient and frustrating. In today’s world, this is more critical than ever before.”
The rise and persistence of Covid-19 globally has had a big, multi-faceted impact how we all do business, and two of those ways have fed directly into the growth of EasySend.
First, the move to remote working has given organizations a giant fillip to work on digital transformation, refreshing and replacing legacy systems with processes that work faster and rely on newer technologies.
Second, consumers have really reassessed their use of insurance services, specifically health and home policies, respectively to make sure they are better equipped in the event of a Covid-19-precipitated scare, and to make sure that they are adequately covered for how they now use their homes all hours of the day.
EasySend’s platform for building and running interfaces for customer experience fall directly into the kinds of apps and services that are being identified and updated, precisely at a time when its initial target customers, insurers, are seeing a surge in business. It’s that “perfect storm” of circumstances that the startup wouldn’t have wished on the world, but which has definitely helped it along.
While there are a lot of companies on the market today that help organizations automate and run their customer interaction processes, the Daskal said that EasySend’s focus on using AI to process information is what makes the startup more unique, as it can be used not just to run things, but to help improve how things work.
It’s not just about taking in character recognition and organizing data, it’s “understanding the business logic,” he said. “We have a lot of data and we can understand [for example] where customers left the process [when filling out forms]. We can give insights into how to increase the conversion rates.”
It’s that balance of providing tools to do business better today, as well as to focus on how to build more business for tomorrow, that has caught the eye of investors.
“Hanaco is firmly invested in building a digital future. By bridging the gap between manual processes and digitization, EasySend is making this not only possible, but also easy, affordable, and practical,” said Hanaco founding partner Alon Lifshitz, in a statement.
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UiPath reels in another $225M as valuation soars to $10.2B
Last year, Gartner found that robotic process automation (RPA) is the fastest growing category in enterprise software. So perhaps it shouldn’t come as a surprise that UiPath, a leading startup in the space, announced a $225 million Series E today on an eye-popping $10.2 billion valuation.
Alkeon Capital led the round with help from Accel, Coatue, Dragoneer, IVP, Madrona Venture Group, Sequoia Capital, Tencent, Tiger Global, Wellington and T. Rowe Price Associates, Inc. Today’s investment brings the total raised to $1.202 billion, according to the company.
It’s worth noting that the presence of institutional investors like Wellington is often a signal that a company could be thinking about going public at some point. CFO Ashim Gupta didn’t shy away from a future IPO, saying that co-founder and CEO Daniel Dines has discussed the idea in recent months and what it would take to become a public company.
“We’re evaluating the market conditions and I wouldn’t say this to be vague, but we haven’t chosen a day that says on this day we’re going public. We’re really in the mindset that says we should be prepared when the market is ready, and I wouldn’t be surprised if that’s in the next 12-18 months,” he said.
One of the factors that’s attracting so much investor interest is its growth rate, which Gupta says is continuing on an upward trajectory, even during the pandemic as companies look for ways to automate. In fact, he reports that recurring revenue has grown from $100 million to $400 million over the last 24 months.
RPA helps companies add a level of automation to manual legacy processes, bringing modernization without having to throw out existing systems. This approach appeals to a lot of companies not willing to rip and replace to get some of the advantages of digital transformation. The pandemic has only served to push this kind of technology to the forefront as companies look for ways to automate more quickly.
The company raised some eyebrows in the fall when it announced it was laying off 400 employees just six months after raising $568 million on a $7 billion valuation, but Gupta said that the layoffs represented a kind of reset for the company after it had grown rapidly in the prior two years.
“From 2017 to 2019, we invested in a lot of different areas. I think in October, the way we thought about it was, we really started taking a pause as we became more confident in our strategy, and we reassessed areas that we wanted to cut back on, and that drove those layoff decisions in October.
As for why the startup needs all that cash, Gupta says in a growing market, it is spending to grab as much market share as it can and that takes a lot of investment. Plus, it can’t hurt to have plenty of money in the bank as a hedge against economic uncertainty during the pandemic. Gupta notes that UiPath could also be looking at strategic acquisitions in the months ahead to fill in holes in the product roadmap more rapidly.
While the company doesn’t expect to go through the kind of growth it went through in 2017 and 2018, it will continue to hire, and Gupta says the leadership team is committed to building a diverse team at all levels of the organization. “We want to have the best people, but we really do believe that having the best people and the best team means that diversity has to be a part of that,” he said.
The company was founded in 2005 in Bucharest, outsourcing automation libraries and software. In 2015, it began the pivot to RPA and has been growing in leaps and bounds ever since. When we spoke to the startup in September 2018 around its $225 million Series C investment (which eventually ballooned to $265 million), it had 1,800 customers. Today it has 7,000 and is growing.
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As pandemic drags on, interest in automation surges
Today, the U.S. exceeded three million COVID-19 cases and 132,000 deaths. In several states, new hotspots have rolled back plans to reopen businesses. The novel coronavirus has — and will continue — to profoundly impact the way we live and work.
For the moment, that includes a shift in the employment status of many Americans. More than 50 million people have filed for unemployment since mid-March. And while many states have made efforts to reopen businesses and return some sense of normality, these moves have led to a spike in cases and may prolong the pandemic and its ongoing economic impact.
Technology has been a lifeline for many, from food delivery to the 3D printing I highlighted last week, which has worked to address a nation suffering from personal protective equipment shortages. Automation and robotics have also been a constant in conversations around tech’s battle against COVID-19.
Robots don’t get sick, tired or emotionally burnt out, and unlike us, they aren’t walking, talking disease vectors. Automation advocates like to point to the “three Ds” of dull, dirty and dangerous jobs that will eventually be replaced by a robotic workforce, but in the age of COVID-19, nearly any essential job qualifies.
The robotic invasion has already begun in earnest. The service, delivery, health care and sanitation industries in particular have all opened a massive gap over the past several months that automation has been more than happy to roll right through. A recent report from The Brookings Institute notes that automation arrives in the workforce in fits and starts — most notably, during times of economic downturn.
“Robots’ infiltration of the workforce doesn’t occur at a steady, gradual pace. Instead, automation happens in bursts, concentrated especially in bad times such as in the wake of economic shocks, when humans become relatively more expensive as firms’ revenues rapidly decline,” the study found. “At these moments, employers shed less-skilled workers and replace them with technology and higher-skilled workers, which increases labor productivity as a recession tapers off.”
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