sensor-fusion
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John Lin Spent Decades Teaching Cameras to See. Now He Wants Machines to Know Where They Are.
Before spatial computing became a slogan, John Lin was studying the stubborn physics of camera-phone images. His second act turns that patience into compact vision systems for robots and mixed-reality glasses.
Mario Paniccia Put Light on a Chip. Now He Is Teaching Machines Not to Get Lost.
The former Intel Fellow spent decades persuading silicon to carry light. At ANELLO, he is using the same stubborn physics to help vehicles find their way when satellites cannot.
Anshul Ahluwalia Wants Drone Defense to Speak One Language
After building aircraft autonomy at Shield AI, the Georgia Tech computer scientist found his startup idea in defense technology's least glamorous corner: getting incompatible machines to cooperate.
Hyunggi Cho Bet on the Part of Self-Driving That Had to Ship
A cafeteria conversation became a nine-year lesson in automotive patience. Hyunggi Cho built Phantom AI around the unfashionable idea that the road to autonomy begins with driver assistance people can actually use.
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.
Chuck Gershman Is Teaching Machines to See After Dark
After three decades in semiconductors and five startup teams, Chuck Gershman is betting that autonomy's hardest problem is not intelligence alone. It is reliable perception when light, weather, cost, and physics stop cooperating.
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.
Joseph Burke
Joseph Burke is the co-founder and CEO of Ottometric, a Waltham, Massachusetts software company that automates the validation of Advanced Driver Assistance Systems (ADAS) and autonomous-vehicle software. An engineer by training who entered the ADAS field in 2010 building radar and blind-spot detection for an airbag maker, Burke started Ottometric in 2019 to attack a brutal industry problem: validating a single vehicle model can cost automakers over $100 million and take more than a year. Ottometric's platform uses proprietary data-distillation technology to turn oceans of raw sensor data into structured safety insights, cutting validation cost and time by more than half. The company has raised roughly $14.9 million, including a $10 million Series A in April 2025.
Matthew Carey
Matthew Carey is the co-founder and CEO of Teradar, a Boston deep-tech company building a solid-state automotive sensor that sees in the terahertz band of the electromagnetic spectrum, the sliver between microwaves and infrared. His pitch is blunt: combine radar's ability to punch through fog and rain with lidar's crisp resolution, then make it cheap enough to bolt onto a Ford Focus. After a friend died in a car crash that no existing sensor could have prevented, Carey teamed with terahertz specialist Gregory Charvat and chip architect Nicholas Saiz in 2020. In November 2025 the company left stealth with a $150 million Series B and claims to be validating its tech with five global automakers.
Mohammad Musa
Mohammad Musa is the founder and CEO of Deepen AI, a San Jose company building the data engine for Physical AI - tools and managed services that handle collection, calibration, annotation, validation, and synthetic data for autonomous vehicles and robotics. A Santa Clara University-trained computer engineer who once ran launch readiness for Google Apps, Musa co-founded Deepen in 2017 and has spent nearly a decade arguing that machines, like people, need many senses working together to move safely through the world. He also teaches product management at his alma mater.
Mohan Sivam
Mohan Sivam is the founder and CEO of Neuralzome Cybernetics, a Bengaluru deeptech startup teaching robots to drive themselves across orchards, farms and job sites no GPS map can describe. His pitch is deceptively plain: robots should learn by watching a human do the job once, not by waiting on a team of PhDs to code every turn. Neuralzome's NeuralPilot autonomy stack, RedPill simulation engine and rugged Jeeno platform aim to put off-road robots to work where labor is scarce and the terrain is unforgiving. In August 2025 the company raised $2.4M in pre-seed funding led by 8X Ventures. A serial builder who previously co-founded Flo Mobility and ran GAMASOME, Sivam describes his mission with a phrase that sticks: making robots sentient.
Shaun Moore
Shaun Moore is the co-founder and CEO of TERN, an Austin-based startup building an Independently Derived Positioning System (IDPS) that locates vehicles using onboard sensors and map data alone - no satellites, no GPS, no cellular. Before TERN, he founded Trueface, which became one of the world's fastest facial-recognition platforms before its 2021 acquisition by Pangiam. A two-patent inventor, global keynote speaker, and World Economic Forum contributor, Moore builds companies that challenge foundational assumptions across technology, policy, and capital.
Jeremy Suard
Jeremy Suard is the Co-Founder and CEO of Exodigo, a Palo Alto-based deep tech company applying AI and multi-sensor fusion to solve one of infrastructure's oldest problems: accurately mapping what's underground before drilling through it. Born in France and raised partly in Israel, Suard served nearly eight years in Israeli Military Intelligence Unit 81, directing AI and signal processing R&D teams and becoming the most decorated technology major in the IDF. He co-founded Exodigo in 2021 with fellow IDF alumni Ido Gonen and Yogev Shifman, channeling classified sensor-fusion expertise into a commercial platform that scans the ground non-intrusively, locates 20-30% more utility lines than premium competitors, and has raised over $271 million in funding to date.
Junhwan Kim
Junhwan Kim is the CEO of STRADVISION, a South Korean AI perception company building the vision software that teaches cars to see. After selling his facial recognition startup Olaworks to Intel in 2012 - the first full acquisition of a Korean firm by Intel - he pivoted into automotive AI and helped build STRADVISION into a company with over 3 million cumulative production units deployed, $331M in total funding, and a pending KOSDAQ IPO. His flagship product, SVNet, runs on 50+ vehicle models across 13+ OEM partners and can identify pedestrians, lanes, traffic signs, and obstacles in real time on low-power edge chips.
Krishna Motukuri
Krishna Motukuri is the CEO and Co-Founder of Zippin, a San Francisco-based AI startup powering checkout-free retail stores across four continents. After seven years at Amazon and stints building e-commerce businesses in India and South Africa under Naspers Group, he co-founded Zippin in 2018 after a personal frustration with grocery checkout lines sparked the idea. Zippin uses computer vision, sensor fusion, and machine learning to let shoppers grab items and walk out without stopping to pay — technology now deployed in sports stadiums, airport terminals, college campuses, and hospital cafeterias worldwide, including Super Bowl venues and the French Open.
Maxwell Zhou
Maxwell Zhou (周光) is the founder and CEO of DeepRoute.ai, a Shenzhen-based autonomous driving company he built from a 2019 conviction that AI could prevent traffic deaths. A Tsinghua-trained physicist turned AI PhD, Zhou led sensor fusion breakthroughs at Baidu and co-founded Roadstar.ai before pivoting to build what is now one of China's fastest-scaling third-party ADAS providers - deploying its end-to-end intelligent driving platform across 300,000+ vehicles and accumulating 1.3 billion kilometers of real-world data with over $500M in total funding.
Tom Eliaz
Tom Eliaz is the Co-Founder and VP of Engineering at Bedrock Robotics, a San Francisco-based startup building autonomous systems for heavy construction equipment. With over two decades of software engineering leadership spanning robotics, cloud infrastructure, and AI, he previously led 100+ engineers at Twilio Engage, directed engineering at Segment through its $3.2B acquisition, and was an early cloud platform engineer at Anki. Before Bedrock, he also founded a healthcare technology company. At Bedrock - a $1.75B-valued company that raised $270M in Series B funding in February 2026 - Eliaz applies engineering depth to the problem of retrofitting excavators and heavy machinery with LiDAR, GPS, and AI software to run autonomously on construction sites 24/7.
Joseph Bousaba
Joseph Bousaba is the CEO of InvenSense and General Manager of TDK Corporation's MEMS Sensors Business Group, leading a global powerhouse in micro-electro-mechanical systems (MEMS) sensing solutions. With over 18 years of senior leadership in the semiconductor industry - spanning Philips Semiconductors, Qualcomm Atheros, and Qualcomm - he stepped into the top role at InvenSense in October 2024, bringing a track record of building multi-hundred-million-dollar businesses at the intersection of motion, sound, and AI-driven sensing.
Aaron Nathan
Aaron Nathan is the CEO and co-founder of Point One Navigation, a San Francisco-based precision location company building the infrastructure layer for Physical AI. A Cornell-trained engineer who helped lead the university's DARPA Urban Challenge team, he went on to serve as Chief Architect at Coherent Navigation (acquired by Apple) before co-founding adeptCloud (acquired by Hightail). At Point One, he is turning centimeter-level GPS accuracy from a specialist tool into a universal platform — raising a $35M oversubscribed Series C from Khosla Ventures in 2025 to accelerate a mission: making precise location as ubiquitous as GPS itself.
Ashesh Jain
Ashesh Jain is the co-founder and CEO of Coram AI, a Sunnyvale-based startup turning ordinary IP security cameras into AI-powered intelligence endpoints. A Cornell PhD and IIT Delhi alumnus, Jain spent years at the frontier of autonomous vehicles - building perception systems at Zoox and leading Lyft's self-driving program as Head of Autonomy - before pivoting that expertise into reimagining physical security. His research work includes Brain4Cars (a car that predicts driver errors before they happen) and the award-winning Structural-RNN paper (CVPR 2016 Best Student Paper), which has over 1,600 citations. Coram AI raised a $13.8M Series A in January 2025 led by Battery Ventures, and its platform now monitors thousands of cameras across schools, hospitals, warehouses, and manufacturing sites across the U.S.
Tyler Niday
Tyler Niday is the co-founder and CEO of Bonsai Robotics, a San Jose-based agtech startup building AI-first autonomy software and hardware for farming. With a background in agricultural engineering from Cal Poly SLO and a systems design master's from MIT, Niday spent seven years at Blue River Technology helping develop the landmark See & Spray precision herbicide system before founding Bonsai in 2022. Under his leadership, Bonsai has raised $28.5M in total funding, deployed vision-based autonomy across 500,000+ acres, and in July 2025 acquired farm-ng to combine software expertise with modular electric robotics - positioning the company to be the world leader in autonomy software for intelligent outdoor machines in harsh environments.