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🫖 Open Source Models · 🤝 Enterprise Support

Deploy Fast, Private AI with TeapotAI

TeapotAI helps organizations deploy ultra-low latency AI that runs locally on CPUs, mobile devices, and browsers. Our Teapot model family is optimized for privacy, cost efficiency, and real-world production workloads — without relying on expensive GPU infrastructure or external APIs.

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⚡ Ultra Low Latency • 🔒 Privacy First • 💸 Cost Efficient • 🫖 Open Source

✨ Enterprise Use Cases

Teapot models are built for real production environments where latency, privacy, and scalability matter. They excel in grounded reasoning, structured outputs, and efficient on-device inference.

📚 In-Context Q&A (RAG)

Grounded question answering over internal documents, knowledge bases, and proprietary datasets. Ideal for enterprise copilots, internal search tools, and knowledge assistants with hallucination-resistant outputs.

🔒 Private / Local Q&A

Fully on-device or on-prem AI assistants that keep sensitive data local. Perfect for healthcare, finance, legal, and compliance-sensitive environments.

🧾 Text Extraction & Structured Outputs

Reliable extraction of structured JSON, entities, and key fields from documents, forms, logs, and unstructured text for automation and workflow pipelines.

🏷️ Text Classification & Tagging

Fast, lightweight classification for moderation, intent detection, routing, and large-scale content processing with extremely low latency inference.

📊 Recommendations & Ranking

Semantic retrieval, reranking, and scoring pipelines for feeds, search systems, and personalized user experiences using efficient small models.

📱 On-Device & Edge AI Applications

Deploy AI directly in mobile apps, browsers, and edge environments for real-time UX, lower infrastructure costs, and fully private inference.

🫖 Why Companies Choose TeapotAI

Unlike large API-only models, Teapot is designed for efficient deployment at scale. Our models prioritize speed, privacy, and cost control while maintaining strong grounded reasoning performance.

⚡ Ultra Low Latency

Optimized small models that run significantly faster than traditional large LLMs, especially on CPU, browser, and edge environments.

💸 Cost Efficient Inference

Reduce or eliminate per-token API costs by running models locally or on lightweight infrastructure.

🔐 Privacy-First Architecture

Keep enterprise and user data fully private with local, on-device, or on-prem model execution.

🧩 Open Source + Enterprise Support

Use Teapot models for free and partner with us for deployment, fine-tuning, hosting, evaluation, and long-term enterprise support.

🚀 Deploy TeapotAI in Production

Tell us your use case, latency requirements, and deployment environment (mobile, browser, CPU, or on-prem). We’ll help design and deploy the optimal TeapotAI solution for your product.

📩 Contact Sales — hello@teapotai.com