Use any AI models of your choice securely and privately on your own machines. Self-hosted, seamlessly deployed, and fully under your control.
Experience the key advantages of our software. Total data security, effortless AI management, and complete control over your models and costs.
Once Anyway is installed on your devices, no one, not even us, can access it in any way. You can safely use the full power of AI on your most sensitive data.
Our software deploys and manages open-source AI models across your machines with built-in fault tolerance and coordination, letting you focus on AI instead of infrastructure.
You choose which models to deploy and when to switch them, while managing costs with unlimited usage instead of per-token fees.
Anyway coordinates and combines your machines into an optimized on-premise cluster, unlocking their full AI potential. Built at EPFL's Distributed Computing Laboratory, our solution leverages cutting-edge distributed systems research to deliver the most efficient and stable platform for production environments.
Compare the key differences between self-hosted and cloud AI solutions
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Self-hosted AI platform
External AI services
Anyway is built for simplicity and flexibility. Deploy it your way, integrate it effortlessly, and manage AI without the usual complexity or limits.
No DevOps expertise required. Anyway is fully self-managed, handling deployment, monitoring, and scaling of the AI engine automatically. You get all the power of advanced AI without the overhead of setup, maintenance, or administration.
Run Anyway the way that best fits your environment: as a standalone application, a Docker image, or a Kubernetes pod. From a single machine to large clusters, deployment is fast, flexible, and consistent.
Choose the models that work best for your needs. Anyway supports any common Hugging Face model out of the box, giving you instant access to a wide ecosystem of open-source AI without compatibility headaches.
Integrate seamlessly with your existing workflows and tools. Anyway provides a fully compatible OpenAI-style API endpoint, letting your applications connect to your internal AI as easily as they would to external services.
We work alongside leading institutions and innovation hubs to advance secure, cutting-edge AI solutions for production application.
Expert in Safe AI & distributed machine learning and researcher at EPFL. He obtained his PhD in Computer Science at Université Paris Dauphine / CNRS on multi-agent learning and worked in the past at the Financial Market Authority in France.
Senior Researcher in scalable and secure systems at EPFL. PhD from Sorbonne Université / CNRS on scalable datacenter systems. Former researcher at University of Sydney focusing on secure blockchains. He has patents on scalable computing.
Professor of Computer Science at EPFL and Director of the Distributed Computing Laboratory. He worked in the past with HP Labs in Palo Alto and the MIT. He wrote many books on Safe AI and has many patents on robust computing.