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Bionic is the open-source foundation for internal AI teams. Deploy on-premise, in private cloud or in air-gapped environments, then build your own integrations, workflows and use cases on top.
Production foundation
Internal AI teams should not spend months assembling generic infrastructure before they can deliver the first useful workflow.
Bionic does not replace your AI team. It gives them a production-ready starting point.
You can. But most internal builds start by recreating the same generic layers before anyone can ship the differentiated work.
Typical internal build path
Chat UI → RAG → tools → SSO → permissions → audit → runtime → sandbox → scheduling → artifacts → observability → upgrades
With Bionic
Bionic → integrate → build use cases
Open source
Deploy it yourself, inspect the code, extend it internally and choose your own models. Bionic lets your organisation own the infrastructure and avoid strategic dependence on a single model provider.
View the sourceBionic is designed for teams that have to deliver internal AI capabilities but do not want to spend a year rebuilding generic platform infrastructure.
Use approved hosted models, private inference endpoints or fully local models. Bionic is built for customer-controlled deployment and infrastructure ownership.
Bionic sits between the user experience, your enterprise systems and the models you approve.
Experience
Chat / workflows / artifacts
Bionic Platform
Identity / tools / RAG / runtime / audit / scheduling
Enterprise Systems
Documents / APIs / databases / internal tools / code
Models
Approved hosted models / private endpoints / local models
Your team can build this workflow on Bionic without first building the runtime underneath it.
Free
Open-source foundation for teams that want to deploy and extend Bionic themselves.
Starting at €40,000/year
Production assurance for organisations running Bionic as critical internal infrastructure.
Starting at €50,000
Help an internal AI team get Bionic and its first production workflow live quickly.
A practical course for AI leads, architects and engineers building internal AI platforms.
Yes. The Community edition is open source and self-hosted.
If hosted AI is approved for your workloads, ChatGPT Enterprise may be the right choice. Bionic is designed for organisations that require customer-controlled deployment, private or local models, or custom internal integrations.
Yes. Bionic supports customer-controlled, private-cloud, on-premise and air-gapped deployment models.
Yes. Bionic is model-independent and can use approved hosted models, private inference endpoints or local models.
Yes. Bionic is designed to be extended by internal teams.
You can. Bionic exists to remove the generic platform work so your team can focus on differentiated workflows and integrations.
Enterprise provides production support, SLAs, supported releases, security response, lifecycle guidance and specialist engineering assistance.
A fixed-scope engagement to help deploy Bionic, connect core systems and deliver the first validated production workflow.
Bionic is designed with enterprise-grade security, privacy, and compliance controls from day one.
Run fully managed in our cloud or deploy on premise to keep sensitive data inside your perimeter.
