Control risky AI actions before they run.
HELM sits between an AI agent and a real system. It checks each action, decides what happens, and keeps a signed record of the decision.
Start with OSS. Move to the managed platform only when a team needs shared controls.
Blocked when the amount exceeds policy or approval is missing.
Receipt records the denied action, rule match, and hash root.
The control gap is getting harder to ignore.
Three changes make an execution boundary easier to justify and harder to skip.
Agents are moving to production.
Agents are leaving demos and starting to move money, change systems, and handle live customer work.
One bad action can move money.
In finance, healthcare, and operations, one bad action can lose money, break a service, or trigger a compliance issue.
The last check is still missing.
Teams have tools to build agents and tools to review logs later. Few tools stand in the action path and decide yes, no, or ask a person.
One action path. One decision point. One proof trail.
HELM is meant to feel simple: send the action through the boundary, decide, then keep the receipt.
Check first, then act.
- Intercept: the tool call hits HELM before any side effect runs.
- Decide: HELM allows, blocks, or escalates based on active policy.
- Prove: every decision produces a signed record a reviewer can verify later.
export OPENAI_BASE_URL=http://localhost:8765/v1
export OPENAI_API_KEY=helm-localPoint one client at HELM first. Your agent code does not need a rewrite.
You can inspect the system before you talk to us.
The public site should make the current product surface easy to verify.
HELM OSS
Install the open layer, route one workflow through it, and verify the release before you trust it.
HELM Studio
The managed platform is real. Access stays reviewed while we keep the operator surface tight and controlled.
Docs and verification
Quickstart, architecture, and verify docs are public so technical readers can inspect the system.
Research and TITAN proof
Research, Explorer, and the TITAN reference view show how the lab tests the product under harder conditions.
Public proof stays close to the product.
A technical reader should be able to move from the product story into releases, research, and verification without leaving the site.
Research portal
Follow live runs, review records, and the paper library from the same public lab surface.
Release ledger
Read the site and proof ledger, then inspect the latest deployment receipt.
Verify the system
Use the verify docs and proof explorer to inspect receipt-level evidence.
Built by people still close to the work.
Mindburn is still small. The strongest signal is that the founders still write the product, docs, and public proof surface.
Ivan Peychev
Ivan built HELM from the first commit. Before Mindburn, he shipped AI systems in production. He still works across the stack, from the runtime and policy engine to the product surface.
LinkedIn
Kirill Melnikov
Kirill leads company buildout, finance, and go-to-market. He has worked in finance and business development in regulated settings. He keeps the company side grounded while the product gets stronger.
LinkedInStart with one workflow.
Install HELM OSS, route one risky workflow through it, and verify the proof. If that works, request access to the managed platform.