Emerging-Technologies
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Fractory raises $9M to rethink the manufacturing supply chain for metalworks
The manufacturing industry took a hard hit from the Covid-19 pandemic, but there are signs of how it is slowly starting to come back into shape — helped in part by new efforts to make factories more responsive to the fluctuations in demand that come with the ups and downs of grappling with the shifting economy, virus outbreaks and more. Today, a businesses that is positioning itself as part of that new guard of flexible custom manufacturing — a startup called Fractory — is announcing a Series A of $9 million (€7.7 million) that underscores the trend.
The funding is being led by OTB Ventures, a leading European investor focussed on early growth, post-product, high-tech start-ups, with existing investors Trind Ventures, Superhero Capital, United Angels VC, Startup Wise Guys and Verve Ventures also participating.
Founded in Estonia but now based in Manchester, England — historically a strong hub for manufacturing in the country, and close to Fractory’s customers — Fractory has built a platform to make it easier for those that need to get custom metalwork to upload and order it, and for factories to pick up new customers and jobs based on those requests.
Fractory’s Series A will be used to continue expanding its technology, and to bring more partners into its ecosystem.
To date, the company has worked with more than 24,000 customers and hundreds of manufacturers and metal companies, and altogether it has helped crank out more than 2.5 million metal parts.
To be clear, Fractory isn’t a manufacturer itself, nor does it have no plans to get involved in that part of the process. Rather, it is in the business of enterprise software, with a marketplace for those who are able to carry out manufacturing jobs — currently in the area of metalwork — to engage with companies that need metal parts made for them, using intelligent tools to identify what needs to be made and connecting that potential job to the specialist manufacturers that can make it.
The challenge that Fractory is solving is not unlike that faced in a lot of industries that have variable supply and demand, a lot of fragmentation, and generally an inefficient way of sourcing work.
As Martin Vares, Fractory’s founder and MD, described it to me, companies who need metal parts made might have one factory they regularly work with. But if there are any circumstances that might mean that this factory cannot carry out a job, then the customer needs to shop around and find others to do it instead. This can be a time-consuming, and costly process.
“It’s a very fragmented market and there are so many ways to manufacture products, and the connection between those two is complicated,” he said. “In the past, if you wanted to outsource something, it would mean multiple emails to multiple places. But you can’t go to 30 different suppliers like that individually. We make it into a one-stop shop.”
On the other side, factories are always looking for better ways to fill out their roster of work so there is little downtime — factories want to avoid having people paid to work with no work coming in, or machinery that is not being used.
“The average uptime capacity is 50%,” Vares said of the metalwork plants on Fractory’s platform (and in the industry in general). “We have a lot more machines out there than are being used. We really want to solve the issue of leftover capacity and make the market function better and reduce waste. We want to make their factories more efficient and thus sustainable.”
The Fractory approach involves customers — today those customers are typically in construction, or other heavy machinery industries like ship building, aerospace and automotive — uploading CAD files specifying what they need made. These then get sent out to a network of manufacturers to bid for and take on as jobs — a little like a freelance marketplace, but for manufacturing jobs. About 30% of those jobs are then fully automated, while the other 70% might include some involvement from Fractory to help advise customers on their approach, including in the quoting of the work, manufacturing, delivery and more. The plan is to build in more technology to improve the proportion that can be automated, Vares said. That would include further investment in RPA, but also computer vision to better understand what a customer is looking to do, and how best to execute it.
Currently Fractory’s platform can help fill orders for laser cutting and metal folding services, including work like CNC machining, and it’s next looking at industrial additive 3D printing. It will also be looking at other materials like stonework and chip making.
Manufacturing is one of those industries that has in some ways been very slow to modernize, which in a way is not a huge surprise: equipment is heavy and expensive, and generally the maxim of “if it ain’t broke, don’t fix it” applies in this world. That’s why companies that are building more intelligent software to at least run that legacy equipment more efficiently are finding some footing. Xometry, a bigger company out of the U.S. that also has built a bridge between manufacturers and companies that need things custom made, went public earlier this year and now has a market cap of over $3 billion. Others in the same space include Hubs (which is now part of Protolabs) and Qimtek, among others.
One selling point that Fractory has been pushing is that it generally aims to keep manufacturing local to the customer to reduce the logistics component of the work to reduce carbon emissions, although as the company grows it will be interesting to see how and if it adheres to that commitment.
In the meantime, investors believe that Fractory’s approach and fast growth are strong signs that it’s here to stay and make an impact in the industry.
“Fractory has created an enterprise software platform like no other in the manufacturing setting. Its rapid customer adoption is clear demonstrable feedback of the value that Fractory brings to manufacturing supply chains with technology to automate and digitise an ecosystem poised for innovation,” said Marcin Hejka in a statement. “We have invested in a great product and a talented group of software engineers, committed to developing a product and continuing with their formidable track record of rapid international growth
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Honeywell and Cambridge Quantum form joint venture to build a new full-stack quantum business
Honeywell, which only recently announced its entry into the quantum computing race, and Cambridge Quantum Computing (CQ), which focuses on building software for quantum computers, today announced that they are combining Honeywell’s Quantum Solutions (HQS) business with Cambridge Quantum in the form of a new joint venture.
Honeywell has long partnered with CQ, and invested in the company last year, too. The idea here is to combine Honeywell’s hardware expertise with CQ’s software focus to build what the two companies call “the world’s highest-performing quantum computer and a full suite of quantum software, including the first and most advanced quantum operating system.”
The merged companies (or “combination,” as the companies’ press releases calls it) expect the deal to be completed in the third quarter of 2021. Honeywell Chairman and CEO Darius Adamczyk will become the chairman of the new company. CQ founder and CEO Ilyas Khan will become the CEO and current Honeywell Quantum Solutions President Tony Uttley will remain in this role at the new company.
The idea here is for Honeywell to spin off HQS and combine it with CQC to form a new company, while still playing a role in its leadership and finances. Honeywell will own a majority stake in the new company and invest between $270 and $300 million. It will also have a long-term agreement with the new company to build the ion traps at the core of its quantum hardware. CQ’s shareholders will own 45% of the new company.
Image Credits: Honeywell
“The new company will have the best talent in the industry, the world’s highest-performing quantum computer, the first and most advanced quantum operating system, and comprehensive, hardware-agnostic software that will drive the future of the quantum computing industry,” said Adamczyk. “The new company will be extremely well positioned to create value in the near-term within the quantum computing industry by offering the critical global infrastructure needed to support the sector’s explosive growth.”
The companies argue that a successful quantum business will need to be supported by large-scale investments and offer a one-stop shop for customers that combines hardware and software. By combining the two companies now, they note, they’ll be able to build on their respective leadership positions in their areas of expertise and scale their businesses while also accelerate their R&D and product roadmaps.
“Since we first announced Honeywell’s quantum business in 2018, we have heard from many investors who have been eager to invest directly in our leading technologies at the forefront of this exciting and dynamic industry — now, they will be able to do so,” Adamczyk said. “The new company will provide the best avenue for us to onboard new, diverse sources of capital at scale that will help drive rapid growth.”
CQ launched in 2014 and now has about 150 employees. The company raised a total of $72.8 million, including a $45 million round, which it announced last December. Honeywell, IBM Ventures, JSR Corporation, Serendipity Capital, Alvarium Investments and Talipot Holdings invested in this last round — which also means that IBM, which uses a different technology but, in many ways, directly competes with the new company, now owns a (small) part of it.
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The energy ecosystem should move to make the ‘energy internet’ a reality
As vice president of Innovation at National Grid Partners, I’m responsible for developing initiatives that not only benefit National Grid’s current business but also have the potential to become stand-alone businesses. So I obviously have strong views about the future of the energy industry.
But I don’t have a crystal ball; no one does. To be a good steward of our innovation portfolio, my job isn’t to guess what the right “basket” is for our “eggs.” It’s to optimally allocate our finite eggs across multiple baskets with the greatest collective upside.
Put another way, global and regional trends make it clear that the Next Big Thing isn’t any single thing at all. Instead, the future is about open innovation and integration of elements across the entire energy supply chain. Only with such an open energy ecosystem can we adapt to the highly volatile — some might even say unpredictable — market conditions we face in the energy industry.
Just as the digital internet rewards innovation wherever it serves the market — whether you build a better app or design a cooler smartphone — so too will the energy internet offer greater opportunities across the energy supply chain.
I like to think of this open, innovation-enabling approach as the “energy internet,” and I believe it represents the most important opportunity in the energy sector today.
The internet analogy
Here’s why I find the concept of the energy internet helpful. Before the digital internet (a term I’m using here to encompass all the hardware, software and standards that comprise it), we had multiple silos of technology such as mainframes, PCs, databases, desktop applications and private networks.
As the digital internet evolved, however, the walls between these silos disappeared. You can now utilize any platform on the back end of your digital services, including mainframes, commodity server hardware and virtual machines in the cloud.
You can transport digital payloads across networks that connect to any customer, supplier or partner on the planet with whatever combination of speed, security, capacity and cost you deem most appropriate. That payload can be data, sound or video, and your endpoint can be a desktop browser, smartphone, IoT sensor, security camera or retail kiosk.
This mix-and-match internet created an open digital supply chain that has driven an epochal boom in online innovation. Entrepreneurs and inventors can focus on specific value propositions anywhere across that supply chain rather than having to continually reinvent the supply chain itself.
The energy sector must move in the same direction. We need to be able to treat our various generation modalities like server platforms. We need our transmission grids to be as accessible as our data networks, and we need to be able to deliver energy to any consumption endpoint just as flexibly. We need to encourage innovation at those endpoints, too — just as the tech sector did.
Just as the digital internet rewards innovation wherever it serves the market — whether you build a better app or design a cooler smartphone — so too will the energy internet offer greater opportunities across the energy supply chain.
The 5D future
So what is the energy internet? As a foundation, let’s start with a model that takes the existing industry talk of digitalization, decentralization and decarbonization a few steps further:
Digitalization: Innovation depends on information about demand, supply, efficiency, trends and events. That data must be accurate, complete, timely and sharable. Digitalization efforts such as IoE, open energy, and what many refer to as the “smart grid” are instrumental because they ensure innovators have the insights they need to continuously improve the physics, logistics and economics of energy delivery.
Decentralization: The internet changed the world in part because it took the power of computing out of a few centralized data centers and distributed it wherever it made sense. The energy internet will do likewise. Digitalization supports decentralization by letting assets be integrated into an open energy supply chain. But decentralization is much more than just the integration of existing assets — it’s the proliferation of new assets wherever they’re needed.
Decarbonization: Decarbonization is, of course, the whole point of the exercise. We must move to greener supply chains built on decentralized infrastructure that leverage energy supply everywhere to meet energy demand anywhere. The market is demanding it and regulators are requiring it. The energy internet is therefore more than just an investment opportunity — it’s an existential imperative.
Democratization: Much of the innovation associated with the internet arose from the fact that, in addition to decentralizing technology physically, it also democratized technology demographically. Democratization is about putting power (literally, in this case) into the hands of the people. Vastly increasing the number of minds and hands tackling the energy industry’s challenges will also accelerate innovation and enhance our ability to respond to market dynamics.
Diversity: As I asserted above, no one has a crystal ball. So anyone investing in innovation at scale should diversify — not just to mitigate risk and optimize returns, but as an enablement strategy. After all, if we truly believe the energy internet (or Grid 2.0, if you prefer that term) will require that all the elements of the energy supply chain work together, we must diversify our innovation initiatives across those elements to promote interoperability and integration.
That’s how the digital internet was built. Standards bodies played an important role, but those standards and their implementations were driven by industry players like Microsoft and Cisco — as well as top VCs — who ensured the ecosystem’s success by driving integration across the supply chain.
We must take the same approach with the energy internet. Those with the power and influence to do so must help ensure we aggressively advance integration across the energy supply chain as a whole, even as we improve the individual elements. To this end, National Grid last year kicked off a new industry group called the NextGrid Alliance, which includes senior executives from more than 60 utilities across the world.
Finally, we believe it’s essential to diversify thinking within the energy ecosystem as well. National Grid has sounded alarms about the serious underrepresentation of women in the energy industry and of female undergraduates in STEM programs. On the flip side, research by Deloitte has found diverse teams are 20% more innovative. More than 60% of my own team at NGP are women, and that breadth of perspective has helped National Grid capture powerful insights into companywide innovation efforts.
More winning, less predicting
The concept of the energy internet isn’t some abstract future ideal. We’re already seeing specific examples of how it will transform the market:
Green transnationalism: The energy internet is on its way to becoming as global as the digital internet. The U.K., for instance, is now receiving wind-generated power from Norway and Denmark. This ability to leverage decentralized energy supply across borders will have significant benefits for national economies and create new opportunities for energy arbitrage.
EV charging models: Pumping electricity isn’t like pumping gas, nor should it be. With the right combination of innovation in smart metering and fast-charging end-point design, the energy internet will create new opportunities at office buildings, residential complexes and other places where cars plus convenience can equal cash.
Disaster mitigation: Recent events in Texas have highlighted the negative consequences of not having an energy internet. Responsible utilities and government agencies must embrace digitization and interoperability to more effectively troubleshoot infrastructure and better safeguard communities.
These are just a few of the myriad ways in which an open, any-to-any energy internet will promote innovation, stimulate competition and generate big wins. No one can predict exactly what those big wins will be, but there will surely be many, and they will accrue to the benefit of all.
That’s why even without a crystal ball, we should all commit ourselves to digitalization, decentralization, decarbonization, democratization and diversity. In so doing, we’ll build the energy internet together, and enable a fair, affordable and clean energy future.
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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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Wingcopter raises $22 million to expand to the U.S. and launch a next-generation drone
German drone technology startup Wingcopter has raised a $22 million Series A – its first significant venture capital raise after mostly bootstrapping. The company, which focuses on drone delivery, has come a long way since its founding in 2017, having developed, built and flown its Wingcopter 178 heavy-lift cargo delivery drone using its proprietary and patented tilt-rotor propellant mechanism, which combines all the benefits of vertical take-off and landing with the advantages of fixed-wing aircraft for longer distance horizontal flight.
This new Series A round was led by Silicon Valley VC Xplorer Capital, as well as German growth fund Futury Regio Growth. Wingcopter CEO and founder Tom Plümmer explained to the in an interview that the addition of an SV-based investor is particularly important to the startup, since it’s in the process of preparing its entry into the U.S., with plans for an American facility, both for flight testing to satisfy FAA requirements for operational certification, as well as eventually for U.S.-based drone production.
Wingcopter has already been operating commercially in a few different markets globally, including in Vanuatu in partnership with Unicef for vaccine delivery to remote areas, in Tanzania for two-way medical supply delivery working with Tanzania, and in Ireland where it completed the world’s first delivery of insulin by drone beyond visual line of sight (BVLOS, the industry’s technical term for when a drone flies beyond the visual range of a human operator who has the ability to take control in case of emergencies).
Wingcopter CEO and co-founder Tom Plümmer. Credit: Jonas Wresch
While Wingcopter has so far pursued a business as an OEM manufacturer of drones, and has had paying customers eager to purchase its hardware effectively since day one (Plümmer told me that they had at least one customer wiring them money before they even had a bank account set up for the business), but it’s also now getting into the business of offering drone delivery-as-a-service. After doing the hard work of building its technology from the ground up, and seeking out the necessary regulatory approvals to operate in multiple markets around the world, Plümmer says that he and his co-founders realized that operating a service business not only meant a new source of revenue, but also better-served the needs of many of its potential customers.
“We learned during this process, through applying for permission, receiving these permissions and working now in five continents in multiple countries, flying BVLOS, that actually operating drones is something we are now very good at,” he said. This was actually becoming a really good source of income, and ended up actually making up more than half of our revenue at some point. Also looking at scalability of the business model of being an OEM, it’s kind of […] linear.”
Linear growth with solid revenue and steady demand was fine for Wingcopter as a bootstrapped startup founded by university students supported by a small initial investment from family and friends. But Plümmer says the company say so much potential in the technology it had developed, and the emerging drone delivery market, that the exponential growth curve of its drone delivery-as-a-service model helped make traditional VC backing make sense. In the early days, Plümmer says Wingcopter had been approached by VCs, but at the time it didn’t make sense for what they were trying to do; that’s changed.
“We were really lucky to bootstrap over the last four years,” Plümmer said. “Basically, just by selling drones and creating revenue, we could employ our first 30 employees. But at some point, you realize you want to really plan with that revenue, so you want to have monthly revenues, which generally repeat like a software business – like software as a service.”
Wingcopter 178 cargo drone performing a delivery for Merck.
Wingcopter has also established a useful hedge regarding its service business, not only by being its own hardware supplier, but also by having worked closely with many global flight regulators on their regulatory process through the early days of commercial drone flights. They’re working with the FAA on its certification process now, for instance, with Plümmer saying that they participate in weekly calls with the regulator on its upcoming certification process for BVLOS drone operators. Understanding the regulatory environment, and even helping architect it, is a major selling point for partners who don’t want to have to build out that kind of expertise and regulatory team in-house.
Meanwhile, the company will continue to act as an OEM as well, selling not only its Wingcopter 178 heavy-lift model, which can fly up to 75 miles, at speeds of up to 100 mph, and that can carry payloads up to around 13 lbs. Because of its unique tilt-rotor mechanism, it’s not only more efficient in flight, but it can also fly in much windier conditions – and take-off and land in harsher conditions than most drones, too.
Plümmer tells me that Wingcopter doesn’t intend to rest on its laurels in the hardware department, either; it’s going to be introducing a new model of drone soon, with different capabilities that expand the company’s addressable market, both as an OEM and in its drones-as-a-service business.
With its U.S. expansion, Wingcopter will still look to focus specifically on the delivery market, but Plümmer points out that there’s no reason its unique technology couldn’t also work well to serve markets including observation and inspection, or to address needs in the communication space as well. The one market that Wingcopter doesn’t intend to pursue, however, is military and defense. While these are popular customers in the aerospace and drone industries, Plümmer says that Wingcopter has a mission “to create sustainable and efficient drone solutions for improving and saving lives,” and says the startup looks at every potential customer and ensures that it aligns with its vision – which defense customers do not.
While the company has just announced the close of its Series A round, Plümmer says they’re already in talks with some potential investors to join a Series B. It’s also going to be looking for U.S. based talent in embedded systems software and flight operations testing, to help with the testing process required its certification by the FAA.
Plümmer sees a long tail of value to be built from Wingcopter’s patented tilt-rotor design, with potential applications in a range of industries, and he says that Wingcopter won’t be looking around for any potential via M&A until it has fully realized that value. Meanwhile, the company is also starting to sow the seeds of its own potential future customers, with training programs in drone flights and operations it’s putting on in partnership with UNICEF’s African Drone and Data Academy. Wingcopter clearly envisions a bright future for drone delivery, and its work in focusing its efforts on building differentiating hardware, plus the role it’s playing in setting the regulatory agenda globally, could help position it at the center of that future.
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Drone-focused construction startup TraceAir raises $3.5M
Bay Area-based construction startup TraceAir today announced a $3.5 million Series A. Led by London-based XTX Ventures, this round brings the company’s total funding up to $7 million. The raise includes existing investor Metropolis VC, along with new additions Liquid 2 Ventures, GEM Capital, GPS Ventures and Andrew Filev.
We first noted the company back in 2016, when it pitched a method for using drones to spot construction errors before they become too expense. It’s a pretty massive field that various technology companies are attempting to solve through a variety of different means, ranging from quadrupedal robots to site-scanning hard hats.
Last February, TraceAir announced a new drone management tool. “Haul Router provides the best mathematically objective hauls for each given drone scan,” the company noted at the time. “Any employee can use the tool to design a haul road and export the results to feed into grading equipment.”
The pandemic has thrown the construction industry for a loop (along with countless others). But unlike other sectors, demand still remains high in many places. TraceAir is hoping its solution will prove beneficial as many outfits seek a way to continue the process in spite of uncertainty.
“The Covid-19 pandemic created new challenges for the U.S. and worldwide construction industries, resulting in delayed projects and growing unemployment rates,” CEO Dmitry Korolev said in a release tied to the news. “Our platform allows industry leaders to manage projects more efficiently and collaborate with their teams remotely, minimizing the need for a physical presence on-site.”
TraceAir says the additional funding will go toward its sales and marketing, along with future product developments, including an unnamed product set for release this quarter.
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Senti Bio raises $105 million for its new programmable biology platform and cancer therapies
Senti Biosciences, a company developing cancer therapies using a new programmable biology platform, said it has raised $105 million in a new round of financing led by the venture arm of life sciences giant Bayer.
The company’s technology uses new computational biological techniques to manufacture cell and gene therapies that can more precisely target specific cells in the body.
Senti Bio’s chief executive, Tim Lu, compares his company’s new tech to the difference between basic programming and object-oriented programming. “Instead of creating a program that just says ‘Hello world’, you can introduce ‘if’ statements and object-oriented programming,” said Lu.
By building genetic material that can target multiple receptors, Senti Bio’s therapies can be more precise in the way they identify genetic material in the body and deliver the kinds of therapies directly to the pathogens. “Instead of the cell expressing a single receptor… now we have two receptors,” he said.
The company is initially applying its gene circuit technology platform to develop therapies that use what are called chimeric antigen receptor natural killer (CAR-NK) cells that can target cancer cells in the body and eliminate them. Many existing cell and gene therapies use chimeric antigen receptor T-cells, which are white blood cells in the body that are critical to immune response and destroy cellular pathogens in the body.
However, T-cell-based therapies can be toxic to patients, stimulating immune responses that can be almost as dangerous as the pathogens themselves. Using CAR-NK cells produces similar results with fewer side effects.
That’s independent of the gene circuit, said Lu. “The gene circuit gets you specificity… Right now when you use a CAR-T cell or a CAR-NK cell… you find a target and hope that it doesn’t affect normal cells. We can build logic in our gene circuits in the cell that means a CAR-NK cell can identify two targets rather than one.”
That increased targeting means lower risks of healthy cells being destroyed alongside mutations or pathogens that are in the body.
For Lu and his co-founders — fellow MIT professor Jim Collins, Boston University professor Wilson Wong and longtime synthetic biology operator Phillip Lee — Senti Bio is the culmination of decades of work in the field.
“I compare it to the early days of semiconductor work,” Lu said of the journey to develop this gene circuit technology. “There were bits and pieces of technology being developed in research labs, but to realize the scale at which you need, this has to be done at the industrial level.”
So licensing work from MIT, Boston University and Stanford, Lu and his co-founders set out to take this work out of the labs to start a company.
“When the company was started it was a bag of tools and the know-how on how to use them,” Lu said. But it wasn’t a fully developed platform.
That’s what the company now has and with the new capital from Leaps by Bayer and its other investors, Senti is ready to start commercializing.
The first products will be therapies for acute myeloid leukemia, hepatocellular carcinoma and other, undisclosed, solid tumor targets, the company said in a statement.
“Leaps by Bayer’s mission is to invest in breakthrough technologies that may transform the lives of millions of patients for the better,” said Juergen Eckhardt, MD, head of Leaps by Bayer. “We believe that synthetic biology will become an important pillar in next-generation cell and gene therapy, and that Senti Bio’s leadership in designing and optimizing biological circuits fits precisely with our ambition to prevent and cure cancer and to regenerate lost tissue function.”
Lu and his co-founders also see their work as a platform for developing other cell therapies for other diseases and applications — and intend to partner with other pharmaceutical companies to bring those products to market.
“Over the past two years, our team has designed, built and tested thousands of sophisticated gene circuits to drive a robust product pipeline, focused initially on allogeneic CAR-NK cell therapies for difficult-to-treat liquid and solid tumor indications,” Lu said in a statement. “I look forward to continued platform and pipeline advancements, including starting IND-enabling studies in 2021.”
The new financing round brings Senti’s total capital raised to just under $160 million and Lu said the new money will be used to ramp up manufacturing and accelerate its work partnering with other pharmaceutical companies.
The current time frame is to get its investigational new drug permits filed by late 2022 and early 2023 and have initial clinical trials begun in 2023.
Developing gene circuits is a new and expanding field with a number of players, including Cell Design Labs, which was acquired by Gilead in 2017 for up to $567 million. Other companies working on similar therapies include CRISPR Therapeutics, Intellius and Editas, Lu said.
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How artificial intelligence will be used in 2021
Scale AI CEO Alexandr Wang doesn’t need a crystal ball to see where artificial intelligence will be used in the future. He just looks at his customer list.
The four-year-old startup, which recently hit a valuation of more than $3.5 billion, got its start supplying autonomous vehicle companies with the labeled data needed to train machine learning models to develop and eventually commercialize robotaxis, self-driving trucks and automated bots used in warehouses and on-demand delivery.
The wider adoption of AI across industries has been a bit of a slow burn over the past several years as company founders and executives begin to understand what the technology could do for their businesses.
In 2020, that changed as e-commerce, enterprise automation, government, insurance, real estate and robotics companies turned to Scale’s visual data labeling platform to develop and apply artificial intelligence to their respective businesses. Now, the company is preparing for the customer list to grow and become more varied.
How 2020 shaped up for AI
Scale AI’s customer list has included an array of autonomous vehicle companies including Alphabet, Voyage, nuTonomy, Embark, Nuro and Zoox. While it began to diversify with additions like Airbnb, DoorDash and Pinterest, there were still sectors that had yet to jump on board. That changed in 2020, Wang said.
Scale began to see incredible use cases of AI within the government as well as enterprise automation, according to Wang. Scale AI began working more closely with government agencies this year and added enterprise automation customers like States Title, a residential real estate company.
Wang also saw an increase in uses around conversational AI, in both consumer and enterprise applications as well as growth in e-commerce as companies sought out ways to use AI to provide personalized recommendations for its customers that were on par with Amazon.
Robotics continued to expand as well in 2020, although it spread to use cases beyond robotaxis, autonomous delivery and self-driving trucks, Wang said.
“A lot of the innovations that have happened within the self-driving industry, we’re starting to see trickle out throughout a lot of other robotics problems,” Wang said. “And so it’s been super exciting to see the breadth of AI continue to broaden and serve our ability to support all these use cases.”
The wider adoption of AI across industries has been a bit of a slow burn over the past several years as company founders and executives begin to understand what the technology could do for their businesses, Wang said, adding that advancements in natural language processing of text, improved offerings from cloud companies like AWS, Azure and Google Cloud and greater access to datasets helped sustain this trend.
“We’re finally getting to the point where we can help with computational AI, which has been this thing that’s been pitched for forever,” he said.
That slow burn heated up with the COVID-19 pandemic, said Wang, noting that interest has been particularly strong within government and enterprise automation as these entities looked for ways to operate more efficiently.
“There was this big reckoning,” Wang said of 2020 and the effect that COVID-19 had on traditional business enterprises.
If the future is mostly remote with consumers buying online instead of in-person, companies started to ask, “How do we start building for that?,” according to Wang.
The push for operational efficiency coupled with the capabilities of the technology is only going to accelerate the use of AI for automating processes like mortgage applications or customer loans at banks, Wang said, who noted that outside of the tech world there are industries that still rely on a lot of paper and manual processes.
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Gatik’s self-driving box trucks to shuttle groceries for Loblaw in Canada
Gatik, the autonomous vehicle startup focused on the “middle mile,” is already using its self-driving box trucks to deliver customer online grocery orders for Walmart. Now, the company — freshly stocked with $25 million in Series A funding — is expanding up into Canada with a partnership with retail giant Loblaw.
Gatik said Monday that five autonomous box trucks in Toronto will be used to deliver goods for Loblaw starting in January 2021. The fleet will be used seven days a week on five routes along public roads. All vehicles will have a safety driver as a co-pilot. This deployment, which follows a 10-month pilot in the Toronto area, marks the first autonomous delivery fleet in Canada.
“As more Canadians turn to online grocery shopping, we’ve looked at ways to make our supply chain more efficient. Middle-mile autonomous delivery is a great example,” Loblaw Digital senior vice president Lauren Steinberg said in a statement. “With this initial rollout in Toronto, we are able to move goods from our automated picking facility multiple times a day to keep pace with PC Express online grocery orders in stores around the city.”
Unlike other autonomous delivery companies, Gatik isn’t targeting consumers. Instead, the startup is using its autonomous trucks to shuttle groceries and other goods from large distribution centers to retail locations. For Loblaw, the company will equip Ford Transit 350 box trucks with refrigeration units, lift gates and its autonomous self-driving software.
“Retailers know the biggest inefficiencies in their logistics operations often exist in the middle-mile, typically between automated picking facilities and retail locations,” Gatik CEO and co-founder Gautam Narang said in a statement. “This is where Gatik lives and succeeds, and is the reason we’re able to offer immediate value to our customers. We are delighted to partner with Loblaw in addressing this critical piece of their supply chain.”
Gatik’s “middle mile” B2B focus has attracted customers like Walmart, as well as investors, including Wittington Ventures and Innovation Endeavors, which co-led the company’s Series A round. FM Capital and Intact Ventures, along with existing investors Dynamo Ventures, Fontinalis Partners and AngelPad also participated in the round that was announced alongside the Loblaw partnership. Gatik has raised $29.5 million to date.
The company said it plans to use the funding to build out operations across North America and hire more employees at its Palo Alto, California and Toronto facilities. Narang said Gatik is also pushing to expand its retail partnerships and fleet deployments.
“Throughout the year we saw an increase of 30% to 35% in orders from our customer base, and we expect this trend to continue,” Narang said. “We will continue to bring autonomous delivery into the mainstream, driving substantial efficiencies in supply chain logistics for retailers across North America and beyond.”
Gatik said it has completed more than 30,000 revenue-generating autonomous orders for multiple customers across North America.
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Juniper Networks acquires Boston-area AI SD-WAN startup 128 Technology for $450M
Today Juniper Networks announced it was acquiring smart wide area networking startup 128 Technology for $450 million.
This marks the second AI-fueled networking company Juniper has acquired in the last year and a half after purchasing Mist Systems in March 2019 for $405 million. With 128 Technology, the company gets more AI SD-WAN technology. SD-WAN is short for software-defined wide area networks, which means networks that cover a wide geographical area such as satellite offices, rather than a network in a defined space.
Today, instead of having simply software-defined networking, the newer systems use artificial intelligence to help automate session and policy details as needed, rather than dealing with static policies, which might not fit every situation perfectly.
Writing in a company blog post announcing the deal, executive vice president and chief product officer Manoj Leelanivas sees 128 Technology adding great flexibility to the portfolio as it tries to transition from legacy networking approaches to modern ones driven by AI, especially in conjunction with the Mist purchase.
“Combining 128 Technology’s groundbreaking software with Juniper SD-WAN, WAN Assurance and Marvis Virtual Network Assistant (driven by Mist AI) gives customers the clearest and quickest path to full AI-driven WAN operations — from initial configuration to ongoing AIOps, including customizable service levels (down to the individual user), simple policy enforcement, proactive anomaly detection, fault isolation with recommended corrective actions, self-driving network operations and AI-driven support,” Leelanivas wrote in the blog post.
128 Technologies was founded in 2014 and raised over $96 million, according to Crunchbase data. Its most recent round was a $30 million Series D investment in September 2019 led by G20 Ventures and The Perkins Fund.
In addition to the $450 million, Juniper has asked 128 Technology to issue retention stock bonuses to encourage the startup’s employees to stay on during the transition to the new owners. Juniper has promised to honor this stock under the terms of the deal. The deal is expected to close in Juniper’s fiscal fourth quarter, subject to normal regulatory review.
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