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Computer vision techniques used for commercial purposes are turning out to be valuable tools for monitoring people’s behavior during the present pandemic. Zensors, a startup that uses machine learning to track things like restaurant occupancy, lines and so on, is making its platform available for free to airports and other places desperate to take systematic measures against infection.
The company, founded two years ago but covered by TechCrunch in 2016, was among the early adopters of computer vision as a means to extract value from things like security camera feeds. It may seem obvious now that cameras covering a restaurant can and should count open tables and track that data over time, but a few years ago it wasn’t so easy to come up with or accomplish that.
Since then Zensors has built a suite of tools tailored to specific businesses and spaces, like airports, offices and retail environments. They can count open and occupied seats, spot trash, estimate lines and all that kind of thing. Coincidentally, this is exactly the kind of data that managers of these spaces are now very interested in watching closely given the present social distancing measures.
Zensors co-founder Anuraag Jain told Carnegie Mellon University — which the company was spun out of — that it had received a number of inquiries from the likes of airports regarding applying the technology to public health considerations.
Software that counts how many people are in line can be easily adapted to, for example, estimate how close people are standing and send an alert if too many people are congregating or passing through a small space.
“Rather than profiting off them, we thought we would give our help for free,” said Jain. And so, for the next two months at least, Zensors is providing its platform for free to “selected entities who are on the forefront of responding to this crisis, including our airport clients.”
The system has already been augmented to answer COVID-19-specific questions, like whether there are too many people in a given area, when a surface was last cleaned and whether cleaning should be expedited, and how many of a given group are wearing face masks.
Airports surely track some of this information already, but perhaps in a much less structured way. Using a system like this could be helpful for maintaining cleanliness and reducing risk, and no doubt Zensors hopes that having had a taste via what amounts to a free trial, some of these users will become paying clients. Interested parties should get in touch with Zensors via its usual contact page.
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Gecko Robotics has landed $40 million in financing as it looks to build an additional 40 robots over the next year to meet what the company sees as growing demand for its safety and infrastructure monitoring services.
“We are growing fast solving critical infrastructure problems that affect our lives, and can even save lives,” says Jake Loosararian, Gecko Robotics’ 28-year-old co-founder and chief executive officer, in a statement. “At our core, we are a robot-enabled software company that helps stop life-threatening catastrophes. We’ve developed a revolutionary way to use robots as an enabler to capture data for predictability of infrastructure; reducing failure, explosions, emissions and billions of dollars of loss each year.”
In the three years since its launch in 2016, Gecko Robotics has managed to grow from a small team of Pittsburgh robotics experts hailing from Carnegie Mellon. Indeed, the company has added more than 100 new employees. The hiring push has been largely around creating a team of qualified experts in particular market segments who can operate the robots that Gecko deploys to industrial work sites.
There’s been something of a robotics revolution in the safety and compliance market over the past few years. From automated assembly lines to warehouses and now to chemical plants and refineries, robots are making their presence felt.
And Gecko isn’t the only company that’s trying to tackle the market. Other companies like Invert Robotics, a Christchurch, New Zealand-based company, has built its own competitive robotic safety inspector.
The initial pitch from Gecko managed to attract angel investors like Mark Cuban, Deep Nishar (a managing partner at SoftBank), Josh Reeves and Jake Seid, the managing director at Stone Bridge Ventures.
Now the company adds the Midwestern venture capital juggernaut Drive Capital to its stable of investors.
“We are very excited for the future of robotics in industrial inspection. The Gecko Robotics team are revolutionizing an industry that is in need of a real upgrade and will save lives,” said Mark Kvamme, lead investor and partner at Drive Capital. “I see amazing potential for Gecko’s business model, they are on the path to become a market leader in their industry.”
Gecko Robotics has already opened a 20,000-square-foot office in Houston, and has offices in Houston, Austin and Pittsburgh.
“The robots are amazing, but they’re not going to be able to complete the job done by these experts who have experience of 30 to 40 years,” says Loosararian. “We have thought leaders who go out in the field… they take the robots out and they use their own manual ability and knowledge to provide the expertise to the clients.”
Gecko currently has 60 robots in its stable of robots and will add at least another 40 over the course of the year. “The product at the end is the software license that they pay for annually,” Loosararian says.
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Home ownership has long been touted as the American dream. But rising rates of mortgage debt and student loan debt are making the pursuit of home ownership a nightmare. Debt-burdened individuals or those with inconsistent or tight cash flow can not only struggle to get credit loan approval when buying a home but also struggle to satisfy monthly mortgage payments even after purchase.
Patch Homes is hoping to keep the proverbial American dream alive. Patch looks to provide homeowners with cash flow and liquidity by allowing them to monetize their homes without taking on debt, interest or burdensome monthly payments.
Today, Patch took another big step in making its vision a far-reaching reality. The company has announced it has raised a $5 million Series A round led by Union Square Ventures (USV), with participation by from Tribe Capital and previous investors Techstars Ventures, Breega Capital and Greg Schroy.
Patch Home looks to partner with homeowners by investing up to $250,000 (with an average investment of ~$100,000) for an equity stake in the home’s value, generally in the 5% to 20% range. Homeowners aren’t subject to any interest or recurring payments and have 10 years to pay back Patch’s investment. Upon doing so, the only incremental money Patch receives is its portion of the change in the home’s value over the course of the 10-year period. If the value of the home goes down in value, Patch willingly takes a loss on its investment.
According to Patch Homes CEO and co-founder Sahil Gupta, one of the major motivations behind the company’s model is to align Patch’s incentives with the homeowners’, allowing both parties to think of each other as trusted partners even after financing. After Patch’s investment, the company provides a number of ancillary services to homeowners, such as credit score monitoring, as well as home value and property tax tracking.
In one instance recounted by Gupta in an interview with TechCrunch, Patch even covered three months of an owner’s mortgage during a liquidity crunch for his small business, allowing him to maintain his home and credit score. Patch is incentivized to provide all services that can help ensure an increase in home value, benefiting both Patch and the homeowner, with the homeowner earning the majority of the asset’s appreciated value.
Additionally, since Patch’s model isn’t focused on a homeowner’s ability to pay back a loan, interest or periodic payments, Patch is able to provide financing to more people. Patch is able to help those with more variable qualifications that struggle to get traditional loans — such as a 1099 contracted worker — monetize their illiquid assets with less harsh or restrictive terms and without increasing their debt burden. Gupta described this as solving the core problem of providing liquidity to asset-rich but cash-flow sensitive people.
Patch is not only looking to provide easier liquidity to more homeowners, but they’re trying to do so faster than traditional lenders. Interested customers can first receive a free estimate of whether Patch will invest in their home or not, how much it’s willing to invest and what percentage equity it will take — primarily based on Patch’s machine learning models that focus on asset, market and location-level attributes.
After the initial estimate, a Patch home advisor will educate the customer on the product and start a formal application process, which includes your standard income and credit score verification, which takes 5-10 days. All-in, homeowners have the ability to get money in as little as 14 days, a significantly shorter timeline than your standard home credit process. Once the investment is made, owners have full freedom with how they use the money.
According to Patch, while its customers come from a diverse set of backgrounds, many either with accumulated debt have to pay down the net or may struggle making monthly payments. The average Patch homeowner uses 40% of the investment to eliminate debt, adds 40% to their savings account or passive income and invests 20% into home improvements.
To date, Patch has raised a total of $6 million and believes the latest round of funding will help scale its operations as they team up with advisors like USV that have experience scaling fintech companies (such as a Lending Club or Carta). The funds will be used to invest in product and Patch’s clearing technology in order to further expedite Patch’s lending process.
Patch also hopes to use the investment to help them gradually expand their footprint, with the goal of eventually having a presence all 50 states. (Patch is currently available in 11 regional markets within California and Washington and expects to be in 18 regional markets by the end of the year including those in Utah, Colorado and Oregon.)
Image via Patch Homes
What makes home ownership so galvanizing for the Patch team? Patch CEO Sahil Gupta spent years putting his Carnegie Mellon financial engineering degree to work in banking and finance, as well as in financial products and strategy positions at fintech startups backed by heavy hitters such as YC and Goldman Sachs.
After realizing the majority of the U.S. population are homeowners, but were struggling to make monthly payments or save for the future, Sahil wanted to figure out to take an illiquid asset like a home and make it easily accessible.
Around the same time, Sahil’s co-founder Sundeep Ambati was working as a contractor on a new business venture of his and was struggling to get a home equity loan. While these circumstances ultimately led Sahil and Sundeep to found Patch Homes in 2016 out of the Techstars New York accelerator program, the deeper motivation behind Patch can be traced back nearly 30 years when Sahil’s father made an equity-sharing agreement with his brother as they were building his family’s home in India.
With a growing family and a pregnant wife, Sunil’s father was adamant about living debt-free, so his brother provided an investment in exchange for an equity stake in the house. According to Sahil, the home is still in the family and has appreciated substantially in value to the benefit of both Sahil’s father and his brother. Longer-term, Patch wants to be the preferred partner for home ownership, helping reduce cash-tight owners’ financial anxiety without the debilitating weight of debt.
“Some companies want to help people buy or sell homes, but home ownership really begins after that point. Patch is built to be inside the home with you and everything that comes thereafter,” Gupta told TechCrunch.
“Patch was created to partner with homeowners to help them unlock their home equity so they can achieve their financial goals along every step of their home ownership journey.
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Being the CTO for one of the three major hypercloud providers may seem like enough of a job for most people, but Mark Russinovich, the CTO of Microsoft Azure, has a few other talents in his back pocket. Russinovich, who will join us for a fireside chat at our TechCrunch Sessions: Enterprise event in San Francisco on September 5 (p.s. early-bird sale ends Friday), is also an accomplished novelist who has published four novels, all of which center around tech and cybersecurity.
At our event, though, we won’t focus on his literary accomplishments (except for maybe his books about Windows Server) as much as on the trends he’s seeing in enterprise cloud adoption. Microsoft, maybe more so than its competitors, always made enterprise customers and their needs the focus of its cloud initiatives from the outset. Today, as the majority of enterprises is looking to move at least some of their legacy workloads into the cloud, they are often stumped by the sheer complexity of that undertaking.
In our fireside chat, we’ll talk about what Microsoft is doing to reduce this complexity and how enterprises can maximize their current investments into the cloud, both for running new cloud-native applications and for bringing legacy applications into the future. We’ll also talk about new technologies that can make the move to the cloud more attractive to enterprises, including the current buzz around edge computing, IoT, AI and more.
Before joining Microsoft, Russinovich, who has a Ph.D. in computer engineering from Carnegie Mellon, was the co-founder and chief architect of Winternals Software, which Microsoft acquired in 2006. During his time at Winternals, Russinovich discovered the infamous Sony rootkit. Over his 13 years at Microsoft, he moved from Technical Fellow up to the CTO position for Azure, which continues to grow at a rapid clip as it looks to challenge AWS’s leadership in total cloud revenue.
Tomorrow, Friday, August 16 is your last day to save $100 on tickets before prices go up. Book your early-bird tickets now and keep that Benjamin in your pocket.
If you’re an early-stage startup, we only have three demo table packages left! Each demo package comes with four tickets and a great location for your company to get in front of attendees. Book your demo package today before we sell out!
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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:
Watch a live stream of Alchemist’s demo day pitches, starting at 3PM, here.
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Self-driving technology company Aurora has made some key moves on its leadership team and overall company growth: It’s bringing on SpaceX’s now former head of software engineering, Jinnah Hosein, to lead its own software engineering team in a VP role. The autonomous software provider is also opening up two new offices, including one in San Francisco, and another in Pittsburgh, in addition to its existing HQ in Palo Alto.
Bringing on Hosein is a huge move for Aurora, which will now have some additional senior leadership taken to help direct and organize its growing engineering team, according to Aurora co-founder Chris Urmson . Hosein’s background includes his time as VP of Software Engineering at SpaceX, where he spent the past four years and oversaw projects including the recent successful Falcon Heavy launch. Before that, he was Director of Software Engineering at Google working on Google Cloud, site reliability and other software projects.
“It’s a pretty incredible set of experiences he has,” Urmson said. “We’re just excited about him bringing that leadership capability, that experience in building both cloud and incredibly reliable software to our team and working with the rest of the folks here.”
Hosein also worked for a brief time overseeing Tesla’s software operations as well as SpaceX’s when he served as acting VP of Tesla’s Autopilot Software prior to Tesla hiring Apple’s Chris Lattner for the role. Urmson says that Hosein’s proven track record launching rockets, and organizing software projects on that level of complexity is more important to Aurora than any brief time he may have spent on Autopilot, however.
Aurora is also opening two new physical offices and testing locations, as mentioned, including the San Francisco one that Urmson says will be a welcome relief to some of their employees currently commuting south to Palo Alto, as well as a way to attract more talent looking to work in the city proper. The Pittsburgh office gives them a new testbed, where they can prove their tech in inclement driving conditions and adverse winter weather, and it also puts them in close proximity to Carnegie Mellon and Pittsburgh’s robotics talent pool.
“When you combine that, between the offices we have in the South Bay, the San Francisco test areas that we’ll now have more access to and the Pittsburgh test areas, we have a pretty exciting diversity of test environments and places to operate,” Urmson added.
Aurora has already announced partnerships with Volkswagen, Hyundai, Byton and more, and recently added LinkedIn founder Reid Hoffman and Index Ventures’ Mike Volpi to its board.
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The team at Disney Research is up to its fun old tricks, this time finding some new uses for off-the-shelf RFID tags. Along with researchers from Carnegie Mellon, Disney’s laboratory wing has discovered a low-latency way to process RFID signals, making it possible to use the tags to turn cheap objects into simple wireless interactive controls that don’t require battery power.… Read More
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