edge-ai
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Iri Trashanski Has Spent His Career Moving Intelligence Closer to the Action
From flash memory to physical AI, the Ceva strategist has built a career around one question: where should intelligence live when the world cannot afford to wait? His other laboratory is a water polo pool, where every decision happens in motion.
Perrine Didrich Markets the Software You Never See - Until It Matters
From mobile security in Paris to physical AI at the intelligent edge, Perrine Didrich has spent more than two decades turning invisible infrastructure into a story customers can act on.
John Heinlein Learned to Market the Machine
A Stanford-trained computer architect became a marketer without abandoning the engineer in him. At Sonatus, John Heinlein now makes the case that a car should improve long after it leaves the factory.
Lokwon Kim Is Teaching AI to Live on Five Watts
After helping design processors at Apple, Cisco and IBM, the DEEPX founder returned to South Korea with a stubborn idea: intelligence should live inside ordinary machines, without demanding a data center-sized appetite.
Eric Danziger Is Teaching Factories to See Before Robots Learn to Act
After the Army, Carnegie Mellon and a front-row seat to self-driving hype, the Invisible AI co-founder chose a harder, quieter mission: give factory floors a memory.
Hoon Paek Is Teaching Old Machines New Tricks
The EdgeCross CEO has spent three decades moving intelligence closer to the physical world. His latest wager is practical: the next useful AI interface may be attached to a pump, compressor or aging factory machine.
Mihai Raneti Kept a Spreadsheet of 1,213 Noes. Then He Built Toward a Brain on a Chip.
The CyberSwarm founder turned failed ventures, 16,000 emails and an unfashionable bet on analog hardware into a patient campaign to make AI learn locally, with less energy and no cloud required.
Evan Petridis Is Teaching AI to Respect the Hardware
After a career spent making networks, sensors and embedded systems behave outside the lab, the ModelCat CEO is betting that AI’s next useful trick is learning the limits of the machine beneath it.
Bhushan Muthiyan Left Silicon Valley to Fix the Unfashionable Part of AI
The Automaton AI founder is betting that India’s AI advantage will be won in the plumbing: cleaner data, disciplined deployment and systems that work where enterprises actually keep their information.
Anubhav Saxena Is Teaching AI to Look Up From the Chatbox
After two decades spent automating work, the Chooch CEO is betting that AI's next useful trick is not better conversation. It is sight - deployed where shelves empty, machines fail and cameras never blink.
Krishna Khadloya Spent Decades Teaching Cameras to Notice What Matters
Before AI became a boardroom reflex, Krishna Khadloya was building the plumbing beneath it - engineering teams, edge intelligence and systems that turn a camera from a witness into a decision-maker.
Roman Shemet Wants AI to Get Off the Cloud and Into Your Pocket
The former quant behind Cactus is treating compute like capital: spend it where it earns its keep, and let a five-year-old phone handle the rest.
Bill Jiao Is Teaching Big AI to Live in Small Machines
A teenage biology inventor met his future co-founder beside a Beijing dumbbell rack. Now Bill Jiao is trying to move frontier models out of the cloud and into the stubborn, latency-bound world of robots, drones and pocket-size hardware.
Brent McKay Kept the Signal and Changed the Question
For years, Brent McKay built technology to understand who was near a screen. Then he aimed the same sensing logic at a harder problem: knowing what is happening around a military installation when the network cannot be trusted.
Kumar Ganapathy Has Spent 25 Years Finding the Bottleneck
From voice chips to flash storage to visual AI, Kumar Ganapathy keeps returning to the same useful question: what is stopping the whole system from moving faster? His answer has produced companies, patents, acquisitions, and a second act backing deep-tech founders between India and Silicon Valley.
Ivan Poupyrev Is Teaching Machines to Read the World Beneath the Screen
For three decades, Ivan Poupyrev has kept asking the same practical question: how can computing escape the glass rectangle? At Archetype AI, his answer begins with the signals already humming through factories, streets, clothes, and machines.
Dhruv Maheshwari Is Turning the Stop Sign Into a Feedback Loop
Before Obvio put AI cameras beside Maryland intersections, Maheshwari spent a decade testing one idea: technology matters most when it changes what people do in the real world.
Bo Wang’s Second Act Is an Open Bet on Computing
After nearly a quarter-century inside Intel, Bo Wang crossed from an established chip platform to a young RISC-V company. His ESWIN chapter is a study in what it takes to turn an open instruction set into products, partnerships and an international business.
Bill Kish Keeps Making Hard Technology Feel Ordinary
At Ruckus, he helped Wi-Fi carry video through walls. At Cogniac, he gave factory and railway teams a way to teach machines what matters - without asking them to become AI researchers.
Alex Wulff
From high-school science fairs and campus walkie-talkie tests to a New York defense startup, Alex Wulff has spent a decade making invisible signals legible - and low-cost radio hardware useful in the field.
Viraat Das
Viraat Das is the cofounder and CEO of Exla, a Y Combinator (Winter 2025) startup building AI infrastructure. A former Amazon machine learning engineer who finished his Purdue computer science degree in two and a half years, he first shipped an SDK that squeezes large transformer models onto edge hardware like NVIDIA Jetsons, then aimed the company at Libra, an always-on AI site reliability engineer that reads production logs, traces failures to the deploy that caused them, and opens fix pull requests while the team sleeps.
Veerbhan Kheterpal
Veerbhan Kheterpal is the co-founder and CEO of Quadric, a Burlingame, California processor IP company building the Chimera general-purpose neural processor (GPNPU) for on-device AI inference. A three-time technology founder with a PhD from Carnegie Mellon University, he previously co-founded Fabbrix (acquired by PDF Solutions) and was a technical co-founder of 21, Inc. Quadric's software-first architecture aims to run any AI model without the obsolescence that plagues fixed-function AI accelerators, and the company has raised roughly $90M across its funding rounds while scaling licensing revenue sharply through 2025.
Ziv Attar
Ziv Attar is the co-founder and CEO of Glass Imaging, a California startup building GlassAI, a neural image processing system that corrects optical aberrations and sensor imperfections to pull sharper, more detailed pictures out of small cameras. An optical engineer trained at the Technion, he founded LinX Imaging in 2011 and sold it to Apple in 2015, then led computational photography work at Apple including the Portrait Mode that shipped on the iPhone 7+. In 2025 Glass Imaging raised a $20M Series A led by Insight Partners.
Yu-Sung Chang
Yu-Sung Chang is the co-founder, CEO and CTO of Vivity AI, an industrial AI company building software for heavy industries like petrochemicals, shipbuilding and manufacturing. A computer scientist with a Ph.D. from Stony Brook University, he spent years at Wolfram Research working on Mathematica's graphics and geometry systems before moving into e-commerce technology leadership as CTO of Korea's SSG.COM and co-founding the healthcare AI startup Huma.AI. In 2022 he founded Vivity AI, which raised roughly $8.4M in a round backed by Hanwha Systems, to close the gap between the physical and digital worlds on the factory floor.
David Stout
David Stout is the co-founder and CEO of webAI, an Austin-based company building private, on-device artificial intelligence that runs on hardware people already own instead of centralized cloud data centers. Raised on a cattle ranch in northern Michigan, he taught himself to compress large AI models onto phones, laptops and edge hardware, and founded webAI in 2019 with Ethan Baird and Tyler Mauer. The company reached a $2.5 billion valuation in January 2026 on the thesis that the most valuable AI of the future will be sovereign, distributed and local rather than rented from Silicon Valley hyperscalers.
Rajesh Narasimha
Rajesh Narasimha is CEO and co-founder of Edgetensor, a Dallas-based startup building a multi-camera, edge-AI video telematics platform for fleets, insurance, and automotive OEMs. A Georgia Tech ECE PhD with 16+ years in computer vision and machine learning, he previously worked at Texas Instruments, Samsung Research America, and helped stand up US R&D at metaio (later acquired by Apple).
Ramin Hasani
Ramin Hasani is the co-founder and CEO of Liquid AI, the MIT CSAIL spin-off building Liquid Foundation Models (LFMs) - a family of general-purpose AI systems descended from his work on liquid neural networks. Inspired by the 302-neuron nervous system of the C. elegans worm, his continuous-time architectures adapt after training and run efficiently on edge hardware. Liquid AI raised a $250M Series A led by AMD in December 2024 at a $2.35B valuation.
Garrett Smith
Garrett Smith is the founder and CEO of Reveal Technology, a Bozeman, Montana defense-tech company that turns drone video into offline 3D maps and runs mobile biometrics on a phone at the tactical edge. A former U.S. Marine Corps infantry and intelligence officer who still serves in the reserves, Smith built the company he wished he had in combat, where he was making high-stakes decisions off pen-and-paper maps in a digital war. Reveal's Farsight and Identifi platforms are used by U.S. Special Operations, the Army, the Marines, and allied forces in Ukraine, the UK, and Israel. In July 2025 the company closed a $30 million Series B led by Ballistic Ventures.
Ian Kalin
Ian Kalin is the CEO and co-founder of TurbineOne, a San Francisco defense-technology company building the Frontline Perception System - machine learning that runs on the sensor at the tactical edge, without the cloud, so warfighters can spot threats in real time. A Georgetown-trained politics major turned Navy nuclear engineer and counter-terrorism officer, Kalin later became the first Chief Data Officer of the U.S. Department of Commerce and a Presidential Innovation Fellow before building the product he says he wishes he'd had while serving. TurbineOne has raised more than $55M, holds 20+ Department of Defense contracts, and works across the Army, Air Force, Navy, and Marine Corps in the Indo-Pacific.
Naveen Verma
Naveen Verma is the co-founder and CEO of EnCharge AI and a professor of electrical and computer engineering at Princeton University. He spent roughly six years de-risking a single, stubborn idea - computing with electric charge stored in metal capacitors instead of noisy transistors - before spinning it out of his lab in 2022. The result is analog in-memory computing hardware that his company says runs AI inference at roughly 20 times less energy than a typical GPU, aimed squarely at putting powerful AI on laptops and edge devices rather than in power-hungry data centers. EnCharge has raised more than $144 million, including an oversubscribed $100M+ Series B led by Tiger Global in early 2025, and shipped its first commercial accelerator, the EN100.