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After 14 years of developing inside of semiconductor giant Intel, RealSense is striking out on its own.

RealSense sells cameras that use stereoscopic imaging, a process that combines two images of the same object from different angles to create depth, enhanced with infrared light. This technology helps machines like robots, drones, and autonomous vehicles have a better perception of the physical world around them. The tech is also used for facial authentication.

“The common denominator of all of them is they live in the real, physical world,” CEO Nadav Orbach told TechCrunch. “They need to understand the surroundings in 3D and based on that, take and plan actions right in the world. And for that, they need a real-time, high-accuracy ability to understand the surrounding in 3D. And that’s what we do best.”

Orbach joined Intel back in 2006 as a CPU architect in Israel. He started working on vision technology in 2011 before becoming the general manager of incubation and disruptive innovation in 2022 and moving to San Francisco last year.

“We knew and understood that 3D perception was going to be big,” Orbach said about the early days of RealSense. “To be honest, we weren’t quite sure in which domain. We tried that across different market segments and different applications, all the way from gesture recognition with computers, phones, until we really found our sweet spot over the years, mostly in robotics.”

The company works with numerous industries outside of robotics, too. Orbach said they’ve heard from fish farms looking to track the volume inside their pens. Chipotle has also used RealSense cameras, in a partnership with AI restaurant software company PreciTaste, to track when food containers are low.

RealSense has more than 3,000 customers and has seen a surge in new interest over the last three to four years as AI has improved. With that, the applications for robotics, especially, have scaled.

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The company realized it may have a better chance keeping up with demand — and scaling itself — if it spun out of Intel and raised its own capital, Orbach said.

The spinout plans hatched last year and got the approval from former Intel CEO Pat Gelsinger. The company is now independent and raised a $50 million Series A funding round from Intel Capital and other strategic investors to get started on its own.

“For me, it was exciting, to be honest,” Orbach said. “I’m a veteran executive in the company, but it’s first time that I’m, you know, I was on the other side of the table. It was a very humbling experience for me as a first-time CEO to go and and raise money.”

RealSense will put the capital toward building out its go-to-market team and making improvements to its technology. The company is particularly focused on improving the tech so it can help improve safety during humans and robot interactions and to improve access control.

“There is a learning curve of, you know, stepping out,” Orbach said. “I’m extremely excited about that. I’m fortunate to have a very strong team with a lot of people in my team that that have entrepreneurial experience. I feel that with my background, together with with some strong teammates, I think we have the right mix for success. And for me, it’s a dream coming true.”

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Hyperscalers and data center developers are in a pickle: They all want to add computing power tomorrow, but utilities frequently play hard to get, citing years-long waits for grid connections.

“All the AI data centers are struggling to get connected,” Amit Narayan, founder and CEO of Gridcare, told TechCrunch. “They’re so desperate. They are looking for solutions, which may or may not happen. Certainly not in the five-year timelines they cite.”

That has led many data centers to pursue what’s called “behind the meter” power sources — basically, they build their own power plants, a costly endeavor that hints at just how desperate they are for electricity.

But Narayan knew there was plenty of slack in the system, even if utilities themselves haven’t discovered it yet. He has studied the grid for the last 15 years, first as a Stanford researcher then as a founder of another company. “How do we create more capacity when everyone thinks that there is no capacity on the grid?” he said.

Narayan said that Gridcare, which has been operating in stealth, has already discovered several places where extra capacity exists, and it’s ready to play matchmaker between data centers and utilities.

Gridcare recently closed an oversubscribed $13.5 million seed round, the company told TechCrunch. The round was led by Xora, Temasek’s deep tech venture firm, with participation from Acclimate Ventures, Aina Climate AI Ventures, Breakthrough Energy Discovery, Clearvision, Clocktower Ventures, Overture Ventures, Sherpalo Ventures, and WovenEarth.

For Narayan and his colleagues at Gridcare, the first step to finding untapped capacity was to map the existing grid. Then the company used generative AI to help forecast what changes might be implemented in the coming years. It also layers on other details, including the availability of fiber optic connections, natural gas, water, extreme weather, permitting, and community sentiment around data center construction and expansion. 

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“There are 200,000-plus scenarios that you have to consider every time you’re running this study,” Narayan said.

To make sure it’s not running afoul of regulations, Gridcare then takes that data and weighs it against federal guidelines that dictate grid usage. Once it finds a spot, it starts talking with the relevant utility to verify the data.

“We’ll find out where the maximum bang for the buck is,” Narayan said.

At the same time, Gridcare works with hyperscalers and data center developers to identify where they are looking to expand operations or build new ones. “They have already told us what they’re willing to do. We know the parameters under which they can operate,” he said.

That’s when the matchmaking begins.

Gridcare sells its services to data center developers, charging them a fee based on how many megawatts of capacity the startup can unlock for them. “That fee is significant for us, but it’s negligible for data centers,” Narayan said.

For some data centers, the price of admission might be forgoing grid power for a few hours here and there, relying on on-site backup power instead. For others, the path might be clearer if their demand helps green-light a new grid-scale battery installation nearby. In the future, the winner might be the developer that is willing to pay more. Utilities have already approached Gridcare inquiring about auctioning access to newfound capacity.

Regardless of how it happens, Narayan thinks that Gridcare can unlock more than 100 gigawatts of capacity using its approach. “We don’t have to solve nuclear fusion to do this,” he said.

Update: Corrected spare capacity on the grid to gigawatts from megawatts.

American streets are incredibly dangerous for pedestrians. A San Carlos, California-based startup called Obvio thinks it can change that by installing cameras at stop signs — a solution the founders also say won’t create a panopticon. 

That’s a bold claim at a time when other companies like Flock have been criticized for how its license plate-reading cameras have become a crucial tool in an overreaching surveillance state. 

Obvio founders Ali Rehan and Dhruv Maheshwari believe they can build a big enough business without indulging those worst impulses. They’ve designed the product with surveillance and data-sharing limitations to ensure they can follow through with that claim.

They’ve found deep pockets willing to believe them, too. The company has just completed a $22 million Series A funding round led by Bain Capital Ventures. Obvio plans to use those funds to expand beyond the first five cities where it’s currently operating in Maryland. 

Rehan and Maheshwari met while working at Motive, a company that makes dashboard cameras for the trucking industry. While there, Maheshwari told TechCrunch the pair realized “a lot of other normal passenger vehicles are awful drivers.” 

The founders said they were stunned the more they looked into road safety. Not only were streets and crosswalks getting more dangerous for pedestrians, but in their eyes, the U.S. was also falling behind on enforcement. 

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“Most other countries are actually pretty good at this,” Maheshwari said. “They have speed camera technology. They have a good culture of driving safety. The U.S. is actually one of the worst across all the modern nations.”

Maheshwari and Rehan began studying up on road safety by reading books and attending conferences. They found that people in the industry gravitated toward three general solutions: education, engineering, and enforcement. 

In their eyes, those approaches were often too separated from each other. It’s hard to quantify the impact of educational efforts. Local officials may try to fix a problematic intersection by, say, installing a roundabout, but that can take years of work and millions of dollars. And law enforcement can’t camp out at every stop sign.

Rehan and Maheshwari saw promise in combining them. 

The result is a pylon (often brightly-colored) topped with a solar-powered camera that can be installed near almost any intersection. It’s designed not to blend in — part of the education and awareness aspect — and it’s also carefully engineered to be cheap and easy to install.

The on-device AI is trained to spot the worst types of stop sign or other infractions. (The company also claims on its website it can catch speeding, crosswalk violations, illegal turns, unsafe lane changes, and even distracted driving.) When one of these things happen, the system matches a car’s license plate to the state’s DMV database. 

All of that information — the accuracy of the violation, the license plate — is verified by either Obvio staff or contractors before it’s sent to law enforcement, which then has to review the infractions before issuing a citation.

Obvio gives the tech to municipalities for free and makes money from the citations. Exactly how that citation revenue will get split between Obvio and the governments will vary from place to place, as Maheshwari said regulations about such agreements differ by state.

That clearly creates an incentive for increasing the number of citations. But Rehan and Maheshwari said they can build a business around stopping the worst offenses across a wide swath of American cities. They also said they want Obvio to remain present in — and responsive to — the communities that use their tech.

“Automated enforcement should be used in conjunction with community advocacy and community support, it shouldn’t be this camera that you put up that does revenue grab[s] and gotchas,” Maheshwari said. The goal is to “start using these cameras in a way to warn and deter the most egregious drivers [so] you can actually create communitywide support and behavior change.”

Cities and their citizens “need to trust us,” Maheshwari said. 

There’s also a technological explanation for why Obvio’s cameras may not become an overpowered surveillance tool for law enforcement beyond their intended use.

Obvio’s camera pylon records and processes its footage locally. It’s only when a violation is spotted that the footage leaves the device. Otherwise, all other footage of vehicles and pedestrians passing through a given intersection stays on the device for about 12 hours before it gets deleted. (The footage is also technically owned by the municipalities, which have remote access.)

This doesn’t eliminate the chance that law enforcement will use the footage to surveil citizens in other ways. But it does reduce that chance.

That focus is what drove Bain Capital Ventures partner Ajay Agarwal to invest in Obvio.

“Yes, in the short term, you can maximize profits, and erode those values, but I think over time, it will limit the ability of this company to be ubiquitous. It’ll create enemies or create people who don’t want this,” he told TechCrunch. “Great founders are willing to sacrifice entire lines of business, frankly, and lots of revenue, in pursuit of the ultimate mission.”