AI agents are taking real-world actions with zero proof
As agents move from chatbots to autonomous operations, the gap between what they do and what anyone can prove they did becomes existential.
The safety engine for autonomous AI
Mindburn Labs is building HELM — the first open-source safety standard for AI agents. We're raising a pre-seed round to scale it.
AI CONCIERGE
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Our AI concierge can answer questions about the company, HELM, market thesis, traction, and next steps. Governed by the same execution authority we build.
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Safety infrastructure is a new market — not an existing one
The AI agent market is projected to reach $47B by 2030. Every agent that takes real actions needs a safety checkpoint. No incumbent controls this layer.
HELM is the open-source execution authority, already shipped
Published standard, live trading system under governance, cryptographic receipts for every action. Inspect the product, not just the slides.
Why now
The EU AI Act enforcement begins in 2025, NIST AI RMF mandates are expanding, and enterprise AI agent adoption is accelerating. The window to establish the standard is 18–24 months.
TRACTION
What exists today
Shipped product, not slides. Every metric below is verifiable on GitHub.
Shipped
Open-Source Engine
v1.2
Published Standard
5
Language SDKs
<5ms
Speed Overhead
L1/L2
Safety Levels
WHY INVEST
Investment highlights
HELM creates a new infrastructure category — the AI safety engine — at the intersection of AI autonomy, regulatory pressure, and enterprise trust.
AI Safety Engine
First-of-kind safety engine. Tamper-proof rule enforcement, not wishful guardrails.
Cryptographic Evidence
Tamper-evident receipts for every AI action. Audit trails that satisfy compliance frameworks.
Sub-5ms Overhead
Governance at kernel speed. Zero performance excuse to skip safety.
Open Standard
UCS v1.2 — Apache 2.0. Language-agnostic SDKs for Go, Python, Rust, Java, TypeScript.
Category Creation
AI governance infrastructure is a new market. No incumbent. $47B+ AI agent market by 2030.
Regulatory Tailwinds
EU AI Act, NIST AI RMF, and emerging frameworks create mandatory demand for safety infrastructure.
COMPETITIVE LANDSCAPE
Why HELM wins
AI safety is crowded with monitoring dashboards. HELM operates at a fundamentally different layer.
| HELM | Others | |
|---|---|---|
| Enforcement model | Fail-closed: blocks before execution | Observability: alerts after the fact |
| Proof system | Cryptographic receipt chain, offline-verifiable | Logs, dashboards, screenshots |
| Open source | Full engine under Apache 2.0 | Proprietary or thin open core |
| Performance | Sub-millisecond overhead | 10–500ms LLM-in-the-loop |
| Standard | Published specification (UCS v1.2) | No formal specification |
FREQUENTLY ASKED
Investor FAQ
How is HELM different from Guardrails AI, Lakera, or Langfuse?
Those tools observe and filter. HELM enforces — it sits in the execution path, blocks before actions happen, and creates cryptographic proof. Different layer, different moat.
Why open source?
Open source creates adoption. Every developer who installs HELM OSS is a future enterprise customer. The commercial layer adds team management, compliance automation, and fleet operations — things individuals don't need but organizations do.
What is the business model?
Open-core: the engine is free, the platform is paid. HELM Teams for startups, HELM Enterprise for regulated organizations. Revenue comes from the features that require organizational infrastructure.
What is the current fundraising status?
We are raising a pre-seed round. Contact [email protected] for details on structure and terms.
Who are the founders?
Ivan Peychev (CEO) — technical founder, ex-Web3 founder with $2M+ revenue, designed and built the entire HELM system. Kirill Melnikov (COO) — serial entrepreneur, manages capital formation and operations.
Prefer a direct conversation?
Our founders are available for calls with serious investors. Reach out directly and we'll respond within 24 hours.