BlackLake is AI Control Infrastructure and Analytics.
Every company is moving toward a workforce of humans, services, and AI agents acting in parallel. As AI does more consequential work, two things have to become infrastructure: the controls that decide what runs, and the analytics that prove what did. The reviews, approvals, audit trails, and budget controls humans built around human work need to become infrastructure. BlackLake is the control plane and the ledger — policy gates, budget gates, cost attribution, and signed receipts that bind the action, policy decision, approver, outcome, and cost.
Company
The company
BlackLake is an engineering-led company building AI Control Infrastructure and Analytics. One ledger captures every consequential AI action — from an IDE, CI, shell, cloud audit log, application code, or durable workflow — then applies policies, approvals, budgets, and signed receipts. The background is in cloud infrastructure, distributed systems, and applied AI. Engineering teams are the starting point because that is where consequential AI work is already happening; the platform message scales to security, finance, compliance, and ops as the workforce shifts.
What we stand for
Principles
You should know what AI-operated work is doing
Every governed tool call, every decision, every cost. If AI is acting on your behalf, you should be able to see what policy applied, what happened next, and why.
Control by default
AI-operated work should ask before doing anything sensitive. Safe defaults matter more than convenient defaults. If a policy doesn’t explicitly allow an action, it doesn’t happen.
Simple first
Sign up and your AI actions are governed in minutes, not after a week of configuration. Or run locally with one command — same control model, your environment. Complexity is available when you need it, never forced on you.
Get started
Free while in beta. Your AI actions are governed in minutes.