The most important part of AI isn’t the model. It’s what you build around it — and who stays in control.
AIAYN builds the private AI stack for organizations that need to turn frontier intelligence into useful, governed work. Your infrastructure. Your knowledge. Your way of working.
AI shouldn’t force a choice between capability and control. We bring models, organizational knowledge, and real workflows together in a stack designed around your requirements — not somebody else’s default settings.
Design AI around your infrastructure and security boundaries. Keep sensitive workflows close to the systems and people that own them.
ON-PREM / PRIVATE INFRASTRUCTURE
Build across open-weight models and approved frontier model providers. Choose for the task, not for the limitations of a single vendor.
OPEN-WEIGHT / FRONTIER MODELS
Connect knowledge, agents, review, and execution in a system that fits how your organization actually works.
KNOWLEDGE / AGENTS / CONTROL
Your data, your models, your workflows — governed by your rules, on infrastructure you control. That's what sovereign AI actually means.
What ownership looks likeTwo complementary platforms for making organizational knowledge useful and agentic work accountable.
Decisions at scale, one shared language.
Model your data, rules, and workflows so decisions can be automated — without losing traceability or control. From scattered signals to defensible decisions.
Give agents a place to do real work.
Persistent workspaces for teams and AI agents. Coordinate tasks, keep artifacts and context beyond a single session, and put approvals around consequential actions.
For AI to matter, it has to meet your actual requirements: where data lives, which models are appropriate, who can take action, and how decisions are reviewed. That’s the stack we’re building.
Our deployment approachMap the data, tools, teams, and decisions that make your organization distinct.
Select open-weight or approved private model access based on your use case and constraints.
Define where agents can act, where people review, and what must remain traceable.
Most agent work dies with the runtime that produced it. We are building MagicStride — a persistent, sandboxed, team-oriented platform where the work survives the runtime.
Read the storyWe are building Airfoil — an intelligence platform that structures knowledge, reasons over it with agents, and ships it into real workflows without losing traceability or control.
Read the storyLet’s talk about the stack your organization actually needs.