VLM Run

Tiny open vision-language model for efficient image understanding.

An open-weights family of small vision-language models for captioning, visual Q&A, pointing, counting, and object detection — small enough to run on-device (checkpoints down to 0.5B on Hugging Face). Run it locally with the Photon engine, or call Moondream Cloud's OpenAI-compatible API with a free monthly credit tier and pay-per-image pricing.

Vision MLOps end-to-end. Annotate, train, deploy.

Annotation tooling, auto-labelling, hosted training, and edge deployment for computer-vision projects. Strong default when you're shipping a custom vision model rather than reaching for a multimodal LLM.

Visual prompting + vision agents from Andrew Ng's lab.

Build vision applications with a labelling-light workflow — point at examples, get a deployable detector. Recently extended into vision agents that reason over images and PDFs without bespoke training.

Multimodal platform to search, reason over, and clip large volumes of video.

Reka Vision is an enterprise multimodal system that indexes large image and video libraries so teams can search by meaning, ask timestamp-aware questions, and auto-generate highlights and clips. It is built by Reka, a frontier multimodal-model lab, and is available via API, an MCP server, or a hosted app. Access is sales-led (request a demo).