Problem

Overshoot addresses the infrastructure gap between live video and useful, general-purpose AI understanding. Existing real-time vision platforms can be slow, offer limited model choice, or break at scale, forcing developers to build and operate difficult streaming, codec, GPU, and inference systems themselves. The economics are usage-driven: video applications can incur substantial compute and model costs as they send more frames at higher resolutions, while latency directly affects whether an application can respond in time to a physical-world event.

The clearest killer use case is continuous security and safety monitoring: a camera or other live feed can be queried in plain language and trigger action when something happens, rather than merely recording footage for later review. Overshoot also targets video agents for industrial processes, robotics, gaming, retail, assistive technology, and home monitoring, including the prospective use case of an agent watching a home or pet while its owner is away.

Product / Service

Overshoot is a managed, cloud-hosted API for real-time vision-language-model inference. Developers create a Stream, publish camera, screen, or server video over WebRTC through LiveKit, and query current or recent frames through an OpenAI-compatible chat-completions endpoint. The service supports hosted and passthrough models, retains recent stream context, streams responses, and does not require an Overshoot-specific SDK; any HTTP client and compatible LiveKit publisher can be used.

The value proposition is to remove most of the infrastructure and model-operations burden while delivering low-latency visual understanding, with typical responses advertised at about 200 milliseconds. Overshoot charges through prepaid credits on a per-token basis, with cost varying by model, frame count, and resolution, allowing developers to start with a small proof of concept and scale usage as their application demands.

Market

Overshoot competes in real-time computer-vision infrastructure, specifically the emerging market for managed live-video VLM APIs and video-agent infrastructure. Its closest named alternatives are Roboflow, which emphasizes computer-vision models and workflows; NVIDIA DeepStream, a customer-operated GPU streaming-analytics SDK; and Spot AI, a packaged business-camera and video-operations system. Overshoot differentiates by offering a programmable API for language-based questions over live and recent video rather than a finished camera-management product or an SDK that customers operate themselves.

The company was founded in 2025 by Zakaria El Hjouji and Younes El Hjouji, is an active Y Combinator Winter 2026 company, and is listed with a five-person team in San Francisco. Public traction is developer adoption rather than disclosed revenue: the YC profile cites more than 300 developers, while company materials later claim more than 1,000 developers using it for gaming, robotics, and security. No public revenue figure or named customer is disclosed in the available materials, so Overshoot is best characterized as an early-stage, YC-backed API startup with initial usage—not definitively labeled pre-revenue.