Models & robotics
The models themselves and the machines they drive: open-weight and small language models, OCR, and robotics foundation models for embodied AI.
Open-weight models
LLM families released with downloadable weights you can run, fine-tune, and self-host.
- DeepSeek - Lab releasing reasoning- and coding-focused models with weights published under the MIT License.
- Gemma - Google DeepMind's family of lightweight open models built from the same research as Gemini, released under a permissive license.
- GLM - Open-weight General Language Model family from Z.ai, formerly Zhipu AI, targeting long-horizon agentic and coding tasks.
- gpt-oss - OpenAI's open-weight reasoning models released under Apache 2.0 and designed to run on single-GPU or consumer hardware.
- Kimi - Moonshot AI's Kimi family of large mixture-of-experts open-weight models, strong on agentic and coding tasks.
- Llama - Meta's widely deployed open model family, with natively multimodal mixture-of-experts architectures.
- MiniMax - Lab releasing frontier-class open-weight reasoning and coding models under MIT-style licenses.
- Mistral - Lab releasing open-weight dense and mixture-of-experts models under Apache 2.0.
- Nemotron - NVIDIA's open model family released with open weights, training data, and recipes for agentic reasoning.
- Qwen - Alibaba's open-weight family, one of the most-downloaded open model lines, spanning phone-sized to very large MoE models.
- Whisper - OpenAI's open-source automatic speech recognition model for multilingual transcription and translation.
Small language models
Compact models tuned to run efficiently on-device or on modest hardware.
- AlphaEdge - Sovereign-AI startup that compresses and distills models into small, efficient ones for on-prem document and enterprise workflows.
- Phi - Microsoft's family of small open-weight models emphasizing strong reasoning at small parameter counts.
- Pleias - Lab training small open-weight models exclusively on public-domain and permissibly licensed data, alongside the fully open Common Corpus dataset.
- SmolLM - Hugging Face's fully open family of small text and vision models, with training data and code released for on-device use.
Robotics and embodied AI
Foundation models and companies bringing learned control to humanoids and real-world machines.
- 1X - Humanoid robotics company building the Neo home robot around neural control policies.
- AMI Labs - Yann LeCun's lab building world models that learn abstract representations of the physical world so agents can predict and plan their actions.
- Figure - Humanoid robotics company training general-purpose manipulation models for commercial deployment.
- Genesis AI - Physical-AI lab building robotics foundation models and a general-purpose robot that reasons, plans, and acts in the real world.
- Gobano Robotics - Robotics company applying imitation learning, reinforcement learning, and world models to dexterous industrial and logistics tasks like folding, assembling, and bin picking.
- Physical Intelligence - Research lab building foundation models for robot control across embodiments.
- Skild AI - Developer of a general-purpose robot brain trained across thousands of hours of robot data.
- UMA - Physical-AI company building humanoid and mobile robots that learn new skills from demonstration.
- Wandercraft - Robotics company building AI-powered self-balancing exoskeletons and the Calvin humanoid robot for industrial tasks.
OCR
Models that convert documents and images into structured, machine-readable text.
- DeepSeek-OCR - Open-weight OCR model using optical token compression for high-throughput, low-cost document-to-Markdown conversion; runs on vLLM.
- Mistral OCR - Hosted OCR API with strong accuracy on complex tables and handwriting for managed, no-ops document extraction.