Computer Vision
A primary internal company segment within Vision Model, derived deterministically from the shared yc tag “Computer Vision”. This is a classification of current window members, not a causal layer or a separate time trend.
3/564 → 7/775; +0.37 percentage points of formation share.
AI that turns any camera to an autonomous worker with real-time vision. OpenVector transforms any existing camera into an automated 24/7 workforce without requiring new hardware. Users simply describe a task in plain English, and OpenVector automatically builds a custom AI vision model to monitor the feed. When it detects an important physical event—like a stalled production cycle, a safety violation, or a waiting customer—it operates a computer just like a human to take immediate action. It integrates with legacy systems to make calls, send emails, update a POS/CRM, or trigger webhooks in real time. OpenVector enables any camera to do real work.
Pocket-sized AI cameras that catch asset damage.. Dream makes pocket-sized, battery-powered AI cameras that catch damage teams miss. Car dealerships, equipment rental companies, fleets, and more move expensive assets in and out all day, and undocumented damage is a costly leak. Dream cameras are simple to set up and work automatically. Each vehicle or machine that passes is photographed from every angle, identified, and reconstructed into a 3D condition record. On return or intake, Dream instantly flags new dents, scrapes, and changes your team might miss, giving one source of truth for every asset's condition over time. Ryland worked at X/xAI and built aerial damage-detection vision at Vexcel Imaging. Alexander worked at AWS and trained edge-camera models deployed in the wild across Africa and India to detect poachers.
A new kind of camera that can see through walls.. Applied Electrodynamics builds imaging systems that see through solid matter. Our team previously co-invented the iPhone touchscreen and Nest learning thermostat. We’re starting in construction, helping teams map structural elements and utilities inside walls and ceilings. The same platform extends to security screening and cargo inspection. Our mission is to make the hidden physical world machine-readable across the entire electromagnetic spectrum.
Jarvis IRL. A personal AI HUD that lives in a pair of glasses. Think Jarvis. It reads your email, runs your calendar and puts directions in your eye. 25 grams, no cameras, all day.
AI for Corporate Security Cameras. Lexius turns existing security cameras into an AI security guard that detects, documents, and alerts incidents like shoplifting and slip-and-falls. Millions of locations already have cameras but no intelligence. Replacing them costs $50K to $100K per site. Lexius upgrades every camera instantly, no rip and replace, no new hardware. Real-world camera systems are messy, fragmented, and decades old, and AI breaks on low-quality CCTV. The hard part isn’t the model, it’s making unreliable systems work at scale with accuracy high enough for real decisions. Lexius starts with security and liability, and becomes the operating system for physical spaces.
AI Infra for real-time vision applications. Overshoot makes it easy for developers to build and run real-time vision applications. AI can see and understand the physical world. This unlocks new applications in physical security, safety, gaming, robotics and general consumer products. Soon, video agents will watch your home and your pet when you’re away. However, existing platforms make it painful for developers to build these real-time applications. Slow inference. Limited model availability. Break at scale. Overshoot solves this. Today, 300+ developers connect live video feeds to the largest collection of Vision Language Models with 3 lines of code. And get responses in less than 200ms. 10x faster than any existing inference platform. Zero infra headache. Our moat is focus. Image and Video are fundamentally different modalities from text. By focusing on them, we are able to make strong
Transforming manufacturing with our next-gen Vision Foundation Model. Allus builds next-gen vision foundation models that bring real intelligence to manufacturing. Enabling factories to see, understand, and improve production in real time.
A primary internal company segment within Vision Model, derived deterministically from the shared yc tag “Computer Vision”. This is a classification of current window members, not a causal layer or a separate time trend.
A primary internal company segment within Vision Model, derived deterministically from the shared yc tag “Hardware”. This is a classification of current window members, not a causal layer or a separate time trend.
Measured-window members of Vision Model that could not be assigned to a narrower shared YC tag or industry without forcing a classification.
No comparable outside activity is connected yet.
Cambrian Signal, “Vision Model,” publication yc-2026-10-02-semantic-v8, snapshot October 2, 2026.
cambrian.jafar.com/formation/vision-model