May
20
2020
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Directly, which taps experts to train chatbots, raises $11M, closes out Series B at $51M

Directly, a startup whose mission is to help build better customer service chatbots by using experts in specific areas to train them, has raised more funding as it opens up a new front to grow its business: APIs and a partner ecosystem that can now also tap into its expert network. Today Directly is announcing that it has added $11 million to close out its Series B at $51 million (it raised $20 million back in January of this year, and another $20 million as part of the Series B back in 2018).

The funding is coming from Triangle Peak Partners and Toba Capital, while its previous investors in the round included strategic backers Samsung NEXT and Microsoft’s M12 Ventures (who are both customers, alongside companies like Airbnb), as well as Industry Ventures, True Ventures, Costanoa Ventures and Northgate. (As we reported when covering the initial close, Directly’s valuation at that time was at $110 million post-money, and so this would likely put it at $120 million or higher, given how the business has expanded.)

While chatbots have now been around for years, a key focus in the tech world has been how to help them work better, after initial efforts saw so many disappointing results that it was fair to ask whether they were even worth the trouble.

Directly’s premise is that the most important part of getting a chatbot to work well is to make sure that it’s trained correctly, and its approach to that is very practical: find experts both to troubleshoot questions and provide answers.

As we’ve described before, its platform helps businesses identify and reach out to “experts” in the business or product in question, collect knowledge from them, and then fold that into a company’s AI to help train it and answer questions more accurately. It also looks at data input and output into those AI systems to figure out what is working, and what is not, and how to fix that, too.

The information is typically collected by way of question-and-answer sessions. Directly compensates experts both for submitting information as well as to pay out royalties when their knowledge has been put to use, “just as you would in traditional copyright licensing in music,” its co-founder Antony Brydon explained to me earlier this year.

It can take as little as 100 experts, but potentially many more, to train a system, depending on how much the information needs to be updated over time. (Directly’s work for Xbox, for example, used 1,000 experts but has to date answered millions of questions.)

Directly’s pitch to customers is that building a better chatbot can help deflect more questions from actual live agents (and subsequently cut operational costs for a business). It claims that customer contacts can be reduced by up to 80%, with customer satisfaction by up to 20%, as a result.

What’s interesting is that now Directly sees an opportunity in expanding that expert ecosystem to a wider group of partners, some of which might have previously been seen as competitors. (Not unlike Amazon’s AI powering a multitude of other businesses, some of which might also be in the market of selling the same services that Amazon does).

The partner ecosystem, as Directly calls it, use APIs to link into Directly’s platform. Meya, Percept.ai, and SmartAction — which themselves provide a range of customer service automation tools — are three of the first users.

“The team at Directly have quickly proven to be trusted and invaluable partners,” said Erik Kalviainen, CEO at Meya, in a statement. “As a result of our collaboration, Meya is now able to take advantage of a whole new set of capabilities that will enable us to deliver automated solutions both faster and with higher resolution rates, without customers needing to deploy significant internal resources. That’s a powerful advantage at a time when scale and efficiency are key to any successful customer support operation.”

The prospect of a bigger business funnel beyond even what Directly was pulling in itself is likely what attracted the most recent investment.

“Directly has established itself as a true leader in helping customers thrive during these turbulent economic times,” said Tyler Peterson, Partner at Triangle Peak Partners, in a statement. “There is little doubt that automation will play a tremendous role in the future of customer support, but Directly is realizing that potential today. Their platform enables businesses to strike just the right balance between automation and human support, helping them adopt AI-powered solutions in a way that is practical, accessible, and demonstrably effective.”

In January, Mike de la Cruz, who took over as CEO at the time of the funding announcement, said the company was gearing up for a larger Series C in 2021. It’s not clear how and if that will be impacted by the current state of the world. But in the meantime, as more organizations are looking for ways to connect with customers outside of channels that might require people to physically visit stores, or for employees to sit in call centres, it presents a huge opportunity for companies like this one.

“At its core, our business is about helping customer support leaders resolve customer issues with the right mix of automation and human support,” said de la Cruz in a statement. “It’s one thing to deliver a great product today, but we’re committed to ensuring that our customers have the solutions they need over the long term. That means constantly investing in our platform and expanding our capabilities, so that we can keep up with the rapid pace of technological change and an unpredictable economic landscape. These new partnerships and this latest expansion of our recent funding round have positioned us to do just that. We’re excited to be collaborating with our new partners, and very thankful to all of our investors for their support.”

May
20
2020
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Identity management startup Truework raises $30M to help you verify your work history

As organizations look for safe and efficient ways of running their services in the new global paradigm of increased social distancing, a startup that has built a platform to help people verify their work details in a secure way is announcing a round of growth funding.

Truework, which provides a way for banks, apartment-rental agencies, and others to check the employment details of an applicant in a quick and secure manner online, has raised $30 million, money that CEO and co-founder Ryan Sandler said in an interview that it would use both grow its existing business, as well to explore adding more details — both via its own service and via third-party partnerships — to the identity information that it shares.

The Series B is being led by Activant Capital — a VC that focuses on B2B2C startups — with participation also from Sequoia Capital and Khosla Ventures, as well as a number of high profile execs and entrepreneurs — Jeff Weiner (LinkedIn); Tom Gonser (Docusign); William Hockey (Plaid); and Daniel Yanisse (Checkr) among them.

The LinkedIn connection is an interesting one. Both Sandler and co-founder Victor Kabdebon were engineers at LinkedIn working on profile and improving the kind of data that LinkedIn sources on its users (the third co-founder, Ethan Winchell, previously worked elsewhere), and while Sandler tells me that the idea for Truework came to them after both left the company, he sees LinkedIn “as a potential partner here,” so watch this space.

The problem that Truework is aiming to solve is the very clunky, and often insecure, nature of how organizations typically verify an individual’s employment information. Details about salary and where you work, and the job you do, are typically essential for larger financial transactions, whether it’s securing a mortgage or another financing loan, or renting an apartment, or for others who might need to verify that information for other purposes, such as staffing agencies.

Typically that kind of information gathering is time-consuming both to reach out to get and to confirm (Sandler cites statistics that say on average an HR person spends over 1,000 hours annually answering questions like these). And some of the systems that have been put in place to do that work — specifically consumer reporting agencies — have been proven not be as watertight in their security as you would hope.

“Your data is flowing around lots of third party platforms,” Sandler said. “You’re releasing a lot of information about yourself and you don’t know where the data is going and if it’s even accurate.”

Truework’s solution is based around a platform, and now an API, that a company buys into. In turn, it gives its employees the ability to consent to using it. If the employee agrees, Truework sources a worker’s place of employment and salary details. Then when a third party wants to verify that information for the person in question, it uses Truework to do so, rather than contacting the company directly.

Then, when those queries come in, Truework contacts the individual with an email or text about the inquiry, so that he/she can okay (or reject) the request. Truework’s Sandler said that it uses ISO27001, SOC2 Type 1 & 2 protections, but he also confirmed that it does store your data.

Currently the idea is that if you leave your job, your next employer would need to also be a Truework customer in order to update the information it has on you: the startup makes money by charging both larger enterprises to make the platform accessible to employees as well as those organizations that are querying for the information/verifications (small business employers using the platform can use it for free).

Over time, the plan will be to configure a way to update your profiles regardless of where you work.

So far, the concept has seen a lot of traction: there are 20,000 small businesses using the platform, as well as 100 enterprises, with the number of verifiers (its term for those requesting information) now at 40,000. Customers include The College Board, The Real Real, Oscar Health, The Motley Fool, and Tuft & Needle.

While all of this was built at a time before COVID-19, the global health pandemic has highlighted the importance of having more efficient and secure systems for doing work, especially at a time when many people are not in the office.

“Our biggest competitor is the fax machine and the phone call,” Sandler said, “but as companies move to more remote working, no one is manning the phones or fax machines. But these operations still need to happen.” Indeed, he points out that at the end of 2019, Truework had 25,000 verifiers. Nearly doubling its end-user customers speaks to the huge boost in business it has seen in the last five months.

That is part of the reason the company has attracted the investment it has.

“Truework’s platform sits at the center of consumers’ most important transactions and life events – from purchasing a home, to securing a new job,” said Steve Sarracino, founder and partner at Activant Capital, in a statement. “Up until now, the identity verification process has been painful, expensive, and opaque for all parties involved, something we’ve seen first-hand in the mortgage space. Starting with income and employment, Truework is setting the standard for consent-based verifications and unlocking the next wave of the digital economy. We’re thrilled to be partnering with this exceptional team as they continue to scale the platform.” Sarracino is joining the board with this round.

While a big focus in the world of tech right now may be on building more and better ways of connecting goods and services to people in as contact-free a way as possible, the bigger play around identity management has been around for years, and will continue to be a huge part of how the internet develops in the future.

The fax and phone may be the primary tools these days for verifying employment information, but on a more general level, there are companies like Facebook, Google and Apple already playing a big role in how we “log in” and use all kinds of services online. They, along with others focused squarely on the identity and verification space (and Truework works with some of them), and using a myriad of approaches that include biometrics, ‘wallet’-style passports that link to information elsewhere, and more, will all continue to try to make the case for why they might be the most trusted provider of that layer of information, at a time when we may want to share less and especially share less with multiple parties.

That is the bigger opportunity that investors are betting on here.

“The increasing momentum Truework has seen since its founding in 2017 demonstrates the critical need for transformation in this space,” said Alfred Lin, partner at Sequoia, in a statement. “Privacy, especially around identity data, is becoming increasingly top of mind for consumers and how they make transactions online.”

Truework has now raised close to $45 million, and it’s not disclosing its valuation.

May
19
2020
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Microsoft launches Project Bonsai, its new machine teaching service for building autonomous systems

At its Build developer conference, Microsoft today announced that Project Bonsai, its new machine teaching service, is now in public preview.

If that name sounds familiar, it’s probably because you remember that Microsoft acquired Bonsai, a company that focuses on machine teaching, back in 2018. Bonsai combined simulation tools with different machine learning techniques to build a general-purpose deep reinforcement learning platform, with a focus on industrial control systems.

It’s maybe no surprise then that Project Bonsai, too, has a similar focus on helping businesses teach and manage their autonomous machines. “With Project Bonsai, subject-matter experts can add state-of-the-art intelligence to their most dynamic physical systems and processes without needing a background in AI,” the company notes in its press materials.

“The public preview of Project Bonsai builds on top of the Bonsai acquisition and the autonomous systems private preview announcements made at Build and Ignite of last year,” a Microsoft spokesperson told me.

Interestingly, Microsoft notes that project Bonsai is only the first block of a larger vision to help its customers build these autonomous systems. The company also stresses the advantages of machine teaching over other machine learning approach, especially the fact that it’s less of a black box approach than other methods, which makes it easier for developers and engineers to debug systems that don’t work as expected.

In addition to Bonsai, Microsoft also today announced Project Moab, an open-source balancing robot that is meant to help engineers and developers learn the basics of how to build a real-world control system. The idea here is to teach the robot to keep a ball balanced on top of a platform that is held by three arms.

Potential users will be able to either 3D print the robot themselves or buy one when it goes on sale later this year. There is also a simulation, developed by MathWorks, that developers can try out immediately.

“You can very quickly take it into areas where doing it in traditional ways would not be easy, such as balancing an egg instead,” said Mark Hammond, Microsoft General Manager
for Autonomous Systems. “The point of the Project Moab system is to provide that
playground where engineers tackling various problems can learn how to use the tooling and simulation models. Once they understand the concepts, they can apply it to their novel use case.”

Mar
31
2020
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Microsoft launches Edge Zones for Azure

Microsoft today announced the launch of Azure Edge Zones, which will allow Azure users to bring their applications to the company’s edge locations. The focus here is on enabling real-time low-latency 5G applications. The company is also launching a version of Edge Zones with carriers (starting with AT&T) in preview, which connects these zones directly to 5G networks in the carrier’s data center. And to round it all out, Azure is also getting Private Edge Zones for those who are deploying private 5G/LTE networks in combination with Azure Stack Edge.

In addition to partnering with carriers like AT&T, as well as Rogers, SK Telecom, Telstra and Vodafone, Microsoft is also launching new standalone Azure Edge Zones in more than 10 cities over the next year, starting with LA, Miami and New York later this summer.

“For the last few decades, carriers and operators have pioneered how we connect with each other, laying the foundation for telephony and cellular,” the company notes in today’s announcement. “With cloud and 5G, there are new possibilities by combining cloud services, like compute and AI with high bandwidth and ultra-low latency. Microsoft is partnering with them bring 5G to life in immersive applications built by organization and developers.”

This may all sound a bit familiar, and that’s because only a few weeks ago, Google launched Anthos for Telecom and its Global Mobile Edge Cloud, which at first glance offers a similar promise of bringing applications close to that cloud’s edge locations for 5G and telco usage. Microsoft argues that its offering is more comprehensive in terms of its partner ecosystem and geographic availability. But it’s clear that 5G is a trend all of the large cloud providers are trying to tap into. Microsoft’s own acquisition of 5G cloud specialist Affirmed Networks is yet another example of how it is looking to position itself in this market.

As far as the details of the various Edge Zone versions go, the focus of Edge Zones is mostly on IoT and AI workloads, while Microsoft notes that Edge Zones with Carriers is more about low-latency online gaming, remote meetings and events, as well as smart infrastructure. Private Edge Zones, which combine private carrier networks with Azure Stack Edge, is something only a small number of large enterprise companies would likely to look into, given the cost and complexity of rolling out a system like this.

 

Mar
26
2020
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Microsoft acquires 5G specialist Affirmed Networks

Microsoft today announced that it has acquired Affirmed Networks, a company that specializes in fully virtualized, cloud-native networking solutions for telecom operators.

With its focus on 5G and edge computing, Affirmed looks like the ideal acquisition target for a large cloud provider looking to get deeper into the telco business. According to Crunchbase, Affirmed raised a total of $155 million before this acquisition, and the company’s more than 100 enterprise customers include the likes of AT&T, Orange, Vodafone, Telus, Turkcell and STC.

“As we’ve seen with other technology transformations, we believe that software can play an important role in helping advance 5G and deliver new network solutions that offer step-change advancements in speed, cost and security,” writes Yousef Khalidi, Microsoft’s corporate vice president for Azure Networking. “There is a significant opportunity for both incumbents and new players across the industry to innovate, collaborate and create new markets, serving the networking and edge computing needs of our mutual customers.”

With its customer base, Affirmed gives Microsoft another entry point into the telecom industry. Previously, the telcos would often build their own data centers and stuff it with costly proprietary hardware (and the software to manage it). But thanks to today’s virtualization technologies, the large cloud platforms are now able to offer the same capabilities and reliability without any of the cost. And unsurprisingly, a new technology like 5G, with its promise of new and expanded markets, makes for a good moment to push forward with these new technologies.

Google recently made some moves in this direction with its Anthos for Telecom and Global Mobile Edge Cloud, too. Chances are we will see all of the large cloud providers continue to go after this market in the coming months.

In a somewhat odd move, only yesterday Affirmed announced a new CEO and president, Anand Krishnamurthy. It’s not often that we see these kinds of executive moves hours before a company announces its acquisition.

The announcement doesn’t feature a single hint at today’s news and includes all of the usual cliches we’ve come to expect from a press release that announces a new CEO. “We are thankful to Hassan for his vision and commitment in guiding the company through this extraordinary journey and positioning us for tremendous success in the future,” Krishnamurthy wrote at the time. “It is my honor to lead Affirmed as we continue to drive this incredible transformation in our industry.”

We asked Affirmed for some more background about this and will update this post if we hear more. Update: an Affirmed spokesperson told us that this was “part of a succession plan that had been determined previously.  So it was not related [to] any specific event.”

Feb
26
2020
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Freshworks acquires AnsweriQ

Customer engagement platform Freshworks today announced that it has acquired AnsweriQ, a startup that provides AI tools for self-service solutions and agent-assisted use cases where the ultimate goal is to quickly provide customers with answers and make agents more efficient.

The companies did not disclose the acquisition price. AnsweriQ last raised a funding round in 2017, when it received $5 million in a Series A round from Madrona Venture Group.

Freshworks founder and CEO Girish Mathrubootham tells me that he was introduced to the company through a friend, but that he had also previously come across AnsweriQ as a player in the customer service automation space for large clients in high-volume call centers.

“We really liked the team and the product and their ability to go up-market and win larger deals,” Mathrubootham said. “In terms of using the AI/ML customer service, the technology that they’ve built was perfectly complementary to everything else that we were building.”

He also noted the client base, which doesn’t overlap with Freshworks’, and the talent at AnsweriQ, including the leadership team, made this a no-brainer.

AnsweriQ, which has customers that use Freshworks and competing products, will continue to operate its existing products for the time being. Over time, Freshworks, of course, hopes to convert many of these users into Freshworks users as well. The company also plans to integrate AnsweriQ’s technology into its Freddy AI engine. The exact branding for these new capabilities remains unclear, but Mathrubootham suggested FreshiQ as an option.

As for the AnsweriQ leadership team, CEO Pradeep Rathinam will be joining Freshworks as chief customer officer.

Rathinam told me that the company was at the point where he was looking to raise the next round of funding. “As we were going to raise the next round of funding, our choices were to go out and raise the next round and go down this path, or look for a complementary platform on which we can vet our products and then get faster customer acquisition and really scale this to hundreds or thousands of customers,” he said.

He also noted that as a pure AI player, AnsweriQ had to deal with lots of complex data privacy and residency issues, so a more comprehensive platform like Freshworks made a lot of sense.

Freshworks has always been relatively acquisitive. Last year, the company acquired the customer success service Natero, for example. With the $150 million Series H round it announced last November, the company now also has the cash on hand to acquire even more customers. Freshworks is currently valued at about $3.5 billion and has 2,7000 employees in 13 offices. With the acquisition of AnsweriQ, it now also has a foothold in Seattle, which it plans to use to attract local talent to the company.

Nov
04
2019
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Microsoft launched Endpoint Manager to modernize device management

Ever since the days of Windows NT, the Microsoft System Center Configuration Manager (better known as ConfigMgr) has allowed companies to manage the increasingly large number of devices they issue to their employees. Then, back in 2011, the company also launched Intune, its cloud-based endpoint management system for corporate and BYOD devices. These days, most enterprises that use Microsoft’s tools use ConfigMgr to manage their PCs and then opt for Intune for mobile devices — and that’s a complex system to manage, even for sophisticated IT departments. So today, at its annual Ignite conference for IT professionals, Microsoft is announcing a way forward for these users to modernize their systems with the launch of the unified Microsoft Endpoint Manager.

As Brad Anderson, Microsoft’s corporate VP for Microsoft 365, told me, he takes some blame for this. “A lot of this falls on my shoulders because we just allowed everything to get complex. So we’re just simplifying everything,” he said. “So really at the core, what we think modern management is that modern management is it’s management that is driven by cloud intelligence.”

The general idea here, Anderson explained, is that in earlier eras of IT management, Microsoft and its partners didn’t have the tools to collect and analyze all of the signals it received from these management tools. That’s obviously not a problem anymore today and the company can use the telemetry it gets from a company’s PC deployments, for example, to figure out where there are problems.

“One of the things that we’re able to do is be learned as cloud-scale as we can help organizations improve their end-user experience,” Anderson noted. Common issues with that experience could be extremely long boot times, which slow down and frustrate employees, or issues with the delivery of important security patches. Today, all of this is often still managed by spreadsheets and complex security policies that are administrated manually — and Anderson argues that these days, you always have to think about security and management together anyway.

To quantify this user experience, Microsoft is also introducing what it calls the Microsoft Productivity Score, which looks at both how employees are working and using their tools, as well as how their technology is enabling them (or not) to do so. “The Productivity Score is all about helping an organization understand the experience their users are having — and then giving them the insights and the actions on what they can do to improve that,” explained Anderson.

Over the course of the last few months, Microsoft actually worked with some large customers and took over the management of their Windows and Office deployments, meaning those machines ran nothing but Microsoft 365 agents (and a control group that was managed in a more traditional way). The devices with the modern management system saw an 85% reduction in boot time and an 85% reduction in crashes and a doubling of battery life. Unsurprisingly, the employees that used the devices were also far happier.

As far as the device management experience goes, the new Endpoint Manager and the licensing changes that come with that are meant to not just simplify the branding but also the experience. And Microsoft definitely wants people to move to this modern system, so it’s giving everybody who has ConfigMgr licenses Intune licenses, too, so that they can co-manage their PCs with both tools and get access to the cloud-based features of Intune. The Microsoft Endpoint Manager console will show a single view of all devices managed by either product. “It’s all about simplifying — and we’re taking that simplifying deep and broad from a branding, licensing and product perspective,” said Anderson.

Today, ConfigMgr and Intune manage well over 190 million Windows, iOS and Android devices. Yet Microsoft knows that not every company is ready to move to this modern device management system just yet. That’s why it’s making these licensing changes to help get people on board, but also leaving the existing systems in place and giving them an onramp to move to provisioning new machines to be cloud-managed, for example.

Jul
03
2019
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Capital One CTO George Brady will join us at TC Sessions: Enterprise

When you think of old, giant mainframes that sit in the basement of a giant corporation, still doing the same work they did 30 years ago, chances are you’re thinking about a financial institution. It’s the financial enterprises, though, that are often leading the charge in bringing new technologies and software development practices to their employees and customers. That’s in part because they are in a period of disruption that forces them to become more nimble. Often, this means leaving behind legacy technology and embracing the cloud.

At TC Sessions: Enterprise, which is happening on September 5 in San Francisco, Capital One executive VP in charge of its technology operations, George Brady, will talk about the company’s journey from legacy hardware and software to embracing the cloud and open source, all while working in a highly regulated industry. Indeed, Capital One was among the first companies to embrace the Facebook-led Open Compute project and it’s a member of the Cloud Native Computing Foundation. It’s this transformation at Capital One that Brady is leading.

At our event, Brady will join a number of other distinguished panelists to specifically talk about his company’s journey to the cloud. There, Capital One is using serverless compute, for example, to power its Credit Offers API using AWS’s Lambda service, as well as a number of other cloud technologies.

Before joining Capital One as its CTO in 2014, Brady ran Fidelity Investment’s global enterprise infrastructure team from 2009 to 2014 and served as Goldman Sachs’ head of global business applications infrastructure before that.

Currently, he leads cloud application and platform productization for Capital One. Part of that portfolio is Critical Stack, a secure container orchestration platform for the enterprise. Capital One’s goal with this work is to help companies across industries become more compliant, secure and cost-effective operating in the public cloud.

Early-bird tickets are still on sale for $249; grab yours today before we sell out.

Student tickets are just $75 — grab them here.

Jun
12
2019
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RealityEngines.AI raises $5.25M seed round to make ML easier for enterprises

RealityEngines.AI, a research startup that wants to help enterprises make better use of AI, even when they only have incomplete data, today announced that it has raised a $5.25 million seed funding round. The round was led by former Google CEO and Chairman Eric Schmidt and Google founding board member Ram Shriram. Khosla Ventures, Paul Buchheit, Deepchand Nishar, Elad Gil, Keval Desai, Don Burnette and others also participated in this round.

The fact that the service was able to raise from this rather prominent group of investors clearly shows that its overall thesis resonates. The company, which doesn’t have a product yet, tells me that it specifically wants to help enterprises make better use of the smaller and noisier data sets they have and provide them with state-of-the-art machine learning and AI systems that they can quickly take into production. It also aims to provide its customers with systems that can explain their predictions and are free of various forms of bias, something that’s hard to do when the system is essentially a black box.

As RealityEngines CEO Bindu Reddy, who was previously the head of products for Google Apps, told me, the company plans to use the funding to build out its research and development team. The company, after all, is tackling some of the most fundamental and hardest problems in machine learning right now — and that costs money. Some, like working with smaller data sets, already have some available solutions like generative adversarial networks that can augment existing data sets and that RealityEngines expects to innovate on.

Reddy is also betting on reinforcement learning as one of the core machine learning techniques for the platform.

Once it has its product in place, the plan is to make it available as a pay-as-you-go managed service that will make machine learning more accessible to large enterprise, but also to small and medium businesses, which also increasingly need access to these tools to remain competitive.

May
16
2019
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Unveiling its latest cohort, Alchemist announces $4 million in funding for its enterprise accelerator

The enterprise software and services-focused accelerator Alchemist has raised $4 million in fresh financing from investors BASF and the Qatar Development Bank, just in time for its latest demo day unveiling 20 new companies.

Qatar and BASF join previous investors, including the venture firms Mayfield, Khosla Ventures, Foundation Capital, DFJ and USVP, and corporate investors like Cisco, Siemens and Juniper Networks.

While the roster of successes from Alchemist’s fund isn’t as lengthy as Y Combinator, the accelerator program has launched the likes of the quantum computing upstart Rigetti, the soft-launch developer tool LaunchDarkly and drone startup Matternet .

Some (personal) highlights of the latest cohort include:

  • Bayware: Helmed by a former head of software-defined networking from Cisco, the company is pitching a tool that makes creating networks in multi-cloud environments as easy as copying and pasting.
  • MotorCortex.AI: Co-founded by a Stanford engineering professor and a Carnegie Mellon roboticist, the company is using computer vision, machine learning and robotics to create a fruit packer for packaging lines. Starting with avocados, the company is aiming to tackle the entire packaging side of pick and pack in logistics.
  • Resilio: With claims of a 96% effectiveness rate and $35,000 in annual recurring revenue with another $1 million in the pipeline, Resilio is already seeing companies embrace its mobile app that uses a phone’s camera to track stress levels and application-based prompts on how to lower it, according to Alchemist.
  • Operant Networks: It’s a long-held belief (of mine) that if computing networks are already irrevocably compromised, the best thing that companies and individuals can do is just encrypt the hell out of their data. Apparently Operant agrees with me. The company is claiming 50% time savings with this approach, and have booked $1.9 million in 2019 as proof, according to Alchemist.
  • HPC Hub: HPC Hub wants to democratize access to supercomputers by overlaying a virtualization layer and pre-installed software on underutilized super computers to give more companies and researchers easier access to machines… and they’ve booked $92,000 worth of annual recurring revenue.
  • DinoPlusAI: This chip developer is designing a low latency chip for artificial intelligence applications, reducing latency by 12 times over a competing Nvidia chip, according to the company. DinoPlusAI sees applications for its tech in things like real-time AI markets and autonomous driving. Its team is led by a designer from Cadence and Broadcom and the company already has $8 million in letters of intent signed, according to Alchemist.
  • Aero Systems West: Co-founders from the Air Force’s Research Labs and MIT are aiming to take humans out of drone operations and maintenance. The company contends that for every hour of flight time, drones require seven hours of maintenance and check ups. Aero Systems aims to reduce that by using remote analytics, self-inspection, autonomous deployment and automated maintenance to take humans out of the drone business.

Watch a live stream of Alchemist’s demo day pitches, starting at 3PM, here.

 

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