Frontier-class AI with zero data egress
Local LLMs, a built-in vector database, and GPU orchestration — deployable in your private cloud VPC, on-prem, or fully air-gapped.
/Why this matters
Great models shouldn't cost you your data
Public AI APIs mean your prompts, documents, and outputs leave your control. AI Core runs the models where your data already lives.
The cost of borrowed intelligence
/How it works
How it works
Deploy the runtime
Stand up AI Core in your VPC, on-prem, or fully air-gapped — inside your existing boundary.
Load your models
Bring open or proprietary models and serve them on your own GPUs.
Serve private inference
Every workspace, agent, and app calls private inference — nothing leaves.
/Capabilities
What's inside AI Core
/Fits your stack
Runs where your data lives
Databases
PostgreSQL and your operational and analytical data stores.
Files & Object Storage
File systems, S3, and document repositories.
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
Open-weight, licensed proprietary, or fine-tuned models — your choice. Swap or upgrade without vendor lock-in; the runtime serves them the same way to every workspace, agent, and app.
No. AI Core runs fully offline, including in air-gapped networks. Models and updates ship as bundles you apply on your own schedule.
Yes. GPU orchestration schedules inference across the GPU capacity you already own, on-prem or in your private cloud, with predictable utilization.