Run any model, on your hardware
Open-source or proprietary, frontier-class quality — served privately with zero data leaving your environment.
/Why this matters
Model choice shouldn't force a data-residency tradeoff
Adopting the best model usually means shipping your prompts and documents to someone else's cloud. The Private LLM Runtime removes the tradeoff — you get model choice and full data residency.
The cost of borrowed intelligence
/How it works
How it works
Pick your models
Choose open or licensed models that fit your use cases.
Serve on your GPUs
The runtime serves them privately on your own hardware.
Stay inside your boundary
Every request and response stays within your environment.
/Capabilities
Runtime capabilities
/Fits your stack
Runs where your data lives
OpenAI / Anthropic API
Drop-in compatible endpoints for your existing AI tools and code.
Automation Tools
n8n, LangChain, Claude Code, and your custom applications.
Design partners
Own the intelligence layer
MiraeAI Uniforge is being built with a small group of design partners in regulated industries. We deploy a governed pilot in weeks, inside your environment, alongside our team.
Become a design partner/FAQ
Questions we hear often
Yes. Register several models and route requests to them by policy — frontier for hard tasks, smaller models for cheap high-volume work.
Models and runtime updates ship as deterministic bundles you apply when you choose, including in air-gapped environments.