Own the intelligence your enterprise runs on.
Mindpool builds infrastructure for enterprises to own and compound the intelligence their work creates. Open models, open-source components, and systems running in your environment keep that learning under your control. Start with Bowline — the open-source intelligence layer running in your environment today.
Ownership is the foundation. Compounding is the return.
Every evaluation, correction, decision, and workflow creates knowledge about how your organization operates. That intelligence should accumulate inside a boundary you control — even when some work runs on rented models.
Cost. Control. Data sovereignty.
AI becomes yours when you control the economics, the decisions, and the data. These are the three conditions of ownership.
AI spend shouldn't be a bill you read after the fact. See the economics first — measured on your own traffic, against supply you own or rent, open weights in your VPC included — and decide with evidence.
No black-box routing, no vendor console deciding for you. Decisions are recorded, evidence is verifiable, and anything that touches live traffic is an explicit step an operator takes — with a way back.
Models, weights, and data stay in your environment. What leaves crosses a gate you govern — and the evidence of what happened stays on infrastructure you hold.
Every company will own more of its AI. Who decides where the work belongs?
The enterprise AI portfolio now spans owned hardware, open weights in a VPC, managed endpoints, and public APIs. The missing layer is judgment across them — with evidence the enterprise keeps.
› read The Intelligence LayerTwo products. Two layers. One architecture you own.
Bowline decides where each class of AI work belongs and puts every decision on the record. It runs in your environment, watches in shadow mode first, and takes authority only when you grant it. Routers move requests; Bowline decides where work belongs.
A governed sandbox for every AI agent. Each workspace runs in its own microVM — separate kernel, deny-by-default egress, signed audit events — so agent code executes inside a boundary you set, in your environment. A hardware-attested confidential profile is in preview.
A reference architecture for AI your organization owns
At the top, the value layer — the agents and workflows your organization owns. NeuronEdge Enclave's execution boundary — now part of Mindpool — gives every agent workspace its own isolated kernel and governed egress. Bowline's intelligence layer decides where each class of work belongs — owned supply first, rented only by policy, every decision on the record. Beneath it, the foundation: five fixed infrastructure contracts replace the rented, API-metered stack with sovereign components in your environment. The architecture stays fixed; implementations remain swappable — v1 shipped today, v2 on the roadmap.
Where the work happens — and where your advantage compounds. Agents and enterprise workflows: engineered by your team or delivered alongside you. This layer is yours to own.
Where agent code actually runs. Every workspace gets its own kernel inside a microVM — an isolation and egress boundary the agents above cannot cross, with audit events an operator can verify.
Which intelligence does each task deserve? Bowline decides — owned supply first, rented only when policy allows and the value is real — and puts every decision on the record.
▸ Implementations are dated, evidence-backed picks — swappable behind a fixed contract, re-evaluated, not re-architected. That is what makes no lock-in structural.
The spine rows are cross-cutting, not a sixth plane: signed identity and supply-chain governance run through every plane, on both sides of the boundary.
▸ Roadmap items are directional, not commitments, and subject to change. Today's offering is services-led — Mindpool operates the stack on your hardware.
Put enterprise AI under your control.
Start with Bowline's evidence on your own traffic, or start the conversation about the stack your organization needs to own.