Matroid

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.

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.

Full-stack AI platform for computer vision and LLMs.

Clarifai is a full-stack AI platform for building with unstructured image, video, text, and audio data. It pairs production computer-vision models — classification, detection, visual search — with a model hub for LLMs, plus data labeling, training of custom models, and inference, all behind one API and console. A free Community tier lets you discover and run models before moving to paid usage plans.

Build reliable computer vision by asking plain-English questions about images.

Groundlight lets developers create visual detectors by describing what to look for in natural language, with no training dataset required. Its system pairs ML models with built-in 24/7 human labeling, so applications return reliable answers from day one and the models improve automatically over time. It ships a Python SDK and REST API, supports edge inference on hardware like Raspberry Pi, and powers monitoring, industrial inspection, and robotics use cases.