Safesight
Safesight lets AI operate existing machines. Our hardware and control layer translates model intent into safe machine operation.
Saferide: an extra set of eyes on every ride.
Saferide is the first product built on Safesight. We started with vehicles because they're the largest market and the hardest integration problem with thousands of variations in hardware, sensors, and control systems.
In twelve months, Safesight built a single layer across 884 model years covering ~190 million U.S. vehicles.
Saferide installs now with three key features:
Pedestrian detection with automatic braking
The fastest path to intelligent machines isn't building new ones.
Connecting existing machines is the fastest path to ubiquity for Physical AI. So rather than wait for new ones, we make the billions already out there smarter and safer - every time AI gets better.
They nearly all speak the same machine language — so the layer moves across them without starting over.
The people building it.
Will co-founded Massdrop at 19 and scaled it to $100M/year before selling to Corsair (NASDAQ: CRSR) in 2023. Along the way he delivered more than three million units of original hardware on a negative cash conversion cycle and built a manufacturing network that flexes from 100 units a month to 100,000. He started Safesight to bring intellegence to billions of existing machines.
Charles has shipped millions of hardware units at Massdrop, Pegatron, and Foxconn. He owns the path from design freeze to landed cost, and the supplier relationships that ship ing volume.
Kyle was VP of Business Development at Massdrop, where he signed more than 300 partners. He leads the dealer and fleet channel the relationship-gated, fast-moving path that most hardware companies underestimate.
Yau Mo was Director of Engineering at Telenav, and before that a Staff Engineer at Qualcomm and an engineer at Intel. He has spent his career on the silicon-to-software stack that machine control systems are built on, and he owns Safesight's technical architecture end to end.
Andy was a Director at Thundercomm, Qualcomm's automotive and IoT module joint venture, and a Staff Engineer at Qualcomm before that. He began his career at NASA. He works at the intersection of embedded hardware and production software, where products either come together or fall apart.
Rahul was an engineering manager at Carvana, running systems at automotive-retail scale, and was a techstars founder. He leads platform engineering at Safesight.
Srija built AI and machine learning systems for ADAS at Ford. She develops the perception and detection models that determine what Safesight sees and how reliably it sees it.
Abdul holds a PhD from the University of Michigan and specializes in CANbus and in-vehicle networks. He owns the electrical design and the vehicle integration layer - the part that has to work across the entire installed fleet.
Victor has led hardware development for over a decade and has shipped millions of units. He owns enclosure, thermal, and mechanical design for products that have to survive years in the real world.