Mindburn Labs builds execution authority for AI work.

We build HELM so consequential AI-agent actions pass through policy, scope, approval, and receipts before they touch company systems.

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Abstract execution authority instrument routing proposed AI work through policy into receipt evidence.

Operating doctrine

A company is not safer because the model sounds certain.

Models propose.

Possibilities, not actions

Models draft plans, edits, messages, and actions. They do not execute by default.

Authority decides.

Policy, approval, context

Policy, scope, owner approval, and risk decide what can touch real systems.

Receipts survive.

Evidence, verdict, audit

Every consequential decision should leave evidence a reviewer can inspect later.

Operating model

Context informs proposals. It does not grant authority.

Mindburn Labs is organized around one boundary: proposed work becomes real work only when policy, approval, and evidence agree.

01 request

A proposed AI action enters review.

02 policy

Policy checks the system, scope, and intent.

03 approval

The accountable owner accepts, denies, or escalates.

04 verdict

HELM records the decision before side effects run.

05 receipt

Evidence remains available after the session ends.

Design principle: Least privilege by default. Unknown tools, hostile output, and drift fail closed.

Operating bench

Small team, systems-shaped work.

HELM needs product judgment, systems engineering, operations discipline, infrastructure reliability, and public-proof restraint in the same room.

Ivan Peychev

Founder / CEO / systems lead

Owns the HELM thesis, product shape, and authority model.

Founder and operator with work across product, systems, consulting, and software-led company building.

Kirill Melnikov

Co-founder / COO

Leads operations, capital formation, enterprise positioning, and partnerships.

Operator with experience in fintech, early company work, marketplaces, and international business.

Andrei Zolin

Core team / Senior Software Engineer

Works across backend systems, protocols, and governed runtime design.

Senior engineer with experience in Go, distributed systems, Web3 infrastructure, privacy services, and product engineering.

Sergey Prikhodko

Core team / Senior DevOps Engineer

Owns infrastructure quality, deployment reliability, CI/CD, monitoring, and operations.

Senior infrastructure engineer with experience in banking, telecom, Kubernetes, observability, automation, and performance systems.

Bring one action to the boundary.

Start with one AI action, one system, one owner, and the evidence required to approve or deny it.

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