🫖 Teapot AI
Building AI-powered LLM agents, privately brewed in your browser.
🚀 Announcement: TinyTeapotLLM Launched!
Check out the Model →
TeapotAI builds open-source small language models that can run anywhere- on CPUs, mobile devices, and even in the browser.
Our models are designed for low latency and private deployment, enabling organizations to own their AI infrastructure and models end-to-end without relying on costly external APIs.
For Developers
🤖 Explore Models
Browse TinyTeapot, TeapotLLM, and other open-source small language models optimized for fast local inference, RAG workflows, and grounded reasoning.
- Ultra-low latency small models
- Local CPU, mobile, and browser inference
- RAG, extraction, and classification workflows
- Open-source and community driven
For Organizations
🏢 Enterprise & Deployment
Work directly with the TeapotAI team to deploy, fine-tune, and optimize lightweight language models for production systems and private AI environments.
- Custom fine-tuning and model alignment
- Hosting and low-latency inference optimization
- Private and on-device deployments
- Evaluation, integration, and ongoing support
Teapot LLM
Teapot is a family of small open-source language models fine-tuned on synthetic data and optimized to run locally on resource-constrained devices such as smartphones, browsers, and CPUs. It is built for grounded reasoning, efficient inference, and real-world deployment.
Key Capabilities
- Hallucination-resistant Question Answering (Q&A)
- Retrieval-Augmented Generation (RAG)
- Structured JSON Extraction
- Text Classification & Tagging
- Fast local inference on CPU and edge devices
