We’re building a future where AI works for you.
At Mozilla.ai, we believe the next generation of AI solutions should be trustworthy, transparent, and controllable. That’s why we’re creating the infrastructure and products to build intelligent systems that align with your goals.
Control your LLM
infrasctructure from a single layer
Otari gives engineering teams one open-source control plane to route, budget, optimise costs, and secure LLM traffic across providers, without vendor lock-in. It's OSS, so you can self-host and keep full control.
Everything you need to operate LLMs at scale!
Make AI useful for your everyday work and focus on the work that matters
Describe your task and let Octonous execute it across your connected tools.
AI shouldn't replace your work. It should enhance it!
Open Tools
Our open-source libraries provide a unified foundation for AI, supporting flexible agent orchestration, model selection, evaluation, or local single-file execution without runtimes.
Scale AI your way!
A shared knowledge store that agents query before they act, turning individual learnings into collective intelligence across your entire agent ecosystem.
Switch between LLM providers with a single configuration change, unlocking flexibility without added complexity.
A common interface for guardrail models, allowing you to quickly change between different models.
One interface to run, test, and compare different agent frameworks, so you can choose the best one for your needs.
Easily manage MCP servers across multiple environments, streamlining deployment and control.
Seamlessly distribute and run LLMs locally through a single-file executable, with no installation required.
Quickly package transformer-based encoders into a fast, portable binary that runs anywhere with no runtime overhead.
More from Mozilla.ai
Discover additional projects we built to contribute to an open and trustworthy AI.
Mozilla.ai Blueprints
A community-led collection of reusable automation blueprints, integrating open-source tools and models. Created for developers, learners, and AI tinkerers to explore real-world use cases.
Explore and contribute to the OSS stack behind the platform.
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