We're building the inference and orchestration layer for production Vision-Language Models. We care deeply about fast and ergonomic visual inference, reliable structured outputs, and the observability to iterate on them.
A few things we've shipped recently you can poke at:

  1. Orion: our visual agent that reasons and acts over images, video, and documents. Chat at https://chat.vlm.run.
  2. mm-ctx: a Unix-style multimodal CLI (find, cat, grep, wc) that gives coding agents real context over images, video, and PDFs. Rust core, Python devex. 
  3. vlmbench:  single-file CLI for benchmarking VLM inference (TTFT, TPOT, throughput) across vLLM, Ollama, and SGLang.