# Arcee AI

> US-based open intelligence lab building open-weight foundation models that run anywhere - on edge, on-prem, or cloud.

Arcee AI is a US-based open intelligence lab that builds open-weight foundation models designed to run anywhere—on edge devices, on-premises infrastructure, or in the cloud. The company focuses on creating efficient, adaptable AI models released under Apache-2.0 license, with their Trinity family of models standardizing capabilities across different sizes. Arcee emphasizes performance per parameter rather than raw model size, enabling frontier-level performance without frontier pricing.

- **Open-Weight Models** - All models are released under Apache-2.0 license, providing full transparency and control with no vendor lock-in or forced upgrades
- **Trinity Model Family** - A comprehensive family of foundation models with consistent skills from on-device to cloud deployment, including Trinity Mini, Trinity Medium, and Trinity Large variants
- **Online Reinforcement Learning** - Models feature continuous learning capabilities, allowing deployment once with ongoing improvements through rapid iteration
- **Cost-Efficient Architecture** - Optimized architectures keep inference costs low while maintaining frontier-level performance benchmarks
- **Playground Access** - Users can interact with models directly through the chat playground at chat.arcee.ai to test capabilities before integration
- **API Access** - Developers can integrate Arcee models via API for production applications with comprehensive documentation available
- **Open Source Catalog** - Browse and access the full catalog of open-source models through the website or Hugging Face
- **Enterprise Solutions** - Custom enterprise deployments available for organizations requiring dedicated support and infrastructure
- **DistillKit** - Open-source tool for knowledge distillation, enabling efficient model compression and transfer learning
- **Multi-Platform Deployment** - Models designed for flexible deployment across edge devices, on-premises servers, and cloud environments

To get started, visit the Arcee AI playground to experiment with models, or access the API through the documentation portal. The open-source catalog on Hugging Face provides direct access to model weights for self-hosted deployments.

## Features
- Open-weight foundation models
- Trinity model family
- Online reinforcement learning
- Apache-2.0 licensing
- Edge deployment support
- On-premises deployment
- Cloud deployment
- Chat playground
- API access
- DistillKit for knowledge distillation
- Open source model catalog
- Enterprise solutions
- Continuous model improvement
- Cost-efficient architectures

## Integrations
OpenRouter, Hugging Face, AWS, Microsoft Azure, NVIDIA, Intel, ARM, Cisco, Clarifai, Together.AI

## Platforms
WEB, API

## Pricing
Freemium — Free tier available with paid upgrades

## Links
- Website: https://www.arcee.ai
- Documentation: https://docs.arcee.ai/
- Repository: https://github.com/arcee-ai
- EveryDev.ai: https://www.everydev.ai/tools/arcee-ai