HELM

Stop AI agents from doing things they shouldn't

HELM checks every AI action against your rules before it runs. Blocked actions never execute. Every decision is saved as tamper-proof proof you can check anytime — even offline.

Bad actions are blocked, not just logged
Every decision creates tamper-proof proof
Works with any AI framework — change one URL
Sub-millisecond overhead — zero performance impact
Why now
The risk isn't bad answers anymore. It's AI doing things nobody approved.

AI moved from chat to real actions

AI agents now deploy code, send money, and change systems. The danger isn't what they say — it's what they do.

Watching isn't enough

Prompt filters and logging tell you what happened after the fact. Neither can stop a bad action before it runs.

The missing piece is a checkpoint

Between 'the AI decided' and 'the system did it,' there's no safety check. HELM adds that check.

How HELM works

Three rules. No exceptions.

Every AI action passes through a safety checkpoint. No shortcuts, no defaults that allow things through.

Block by default

Safety gate + rules engine

If there's no rule that says 'yes,' the action is blocked. Every action is checked against your rules before anything happens. Blocking is the default.

Humans approve risky actions

Action inbox + limited permissions

Risky actions go to the right person for approval. AI agents get just enough permission for the current task — never broad standing access.

Every decision saved as proof

Proof records + tamper detection

Every allow or block creates a tamper-proof record. You can replay, export, and verify these records offline — no running system needed.

How it proves

Claims backed by working code, not slides

01

Safety Pipeline

Every AI action passes through a checkpoint before it runs.

AI proposals enter the HELM proxy, pass through the rules engine, and reach the executor only after an explicit 'allow.' Blocked actions never run.

Try HELM Studio
02

Trust Boundary

AI reasoning and real-world execution are completely separated.

The safety core (rules engine, executor, proof generator) is isolated from everything else. AI model calls, prompt logic, and agent reasoning stay outside. No cross-contamination.

Read the architecture
03

Proof Records

Every decision — allow or block — produces tamper-proof evidence.

A proof record contains: the original request, the rules context, the decision, a timestamp, and a digital signature. Records chain together into a full history — evidence survives log rotation.

Verify a proof record
04

Adoption Path

Start free and open-source. Scale to team and enterprise. Same safety engine everywhere.

HELM OSS provides the safety engine. Platform adds shared controls (approval inbox, dashboards). Enterprise adds multi-team and multi-region support. The core engine is identical at every tier.

Product

One safety engine. Three levels.

Start with the free open-source engine. Add team controls through HELM Platform when you're ready.

Open source

HELM OSS

Free safety engine

For developers who need safe AI agents in CI/CD pipelines, MCP tool calls, and local development.

For teams

HELM Platform

Shared safety controls for organizations

Approval inbox, team dashboards, proof export, workspaces, and shared rules for human+AI work.

Enterprise

HELM Enterprise

Organization-wide safety

Multi-region rules, compliance reporting, audit-ready proof export, and control across teams and geographic boundaries.

Who this is for

Built for organizations that need authority, not just automation

For builders

Move from prototype to governed production. Ship higher-autonomy workflows with tighter execution control.

Adoption path

Install HELM OSS. Point one agent at the proxy. Write policy for your highest-risk action. Deploy.

python
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:8420/v1",
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Deploy to staging"}],
)
LangGraphCrewAIOpenAI Agents SDKAutoGenVercel AI SDK

Operators and governance owners

Centralize execution control without rewriting every agent wrapper. See what was proposed, what was blocked, and why across shared operational surfaces.

Adoption path

Deploy HELM Platform. Connect existing agent pipelines. Configure approval routes, packs, and operator workflows across the organization.

Institutions and regulated operators

Secure heterogeneous agent ecosystems with continuous evidence and federated policy control across organizational units and jurisdictions.

Adoption path

Start with one governed execution surface. Federate policies across regions. Export evidence to existing compliance, audit, and institutional review workflows.

For Investors

Invest in AI Execution Control

HELM is the control layer between AI agents and the real world. We discovered the problem building an autonomous trading system — now we're solving it for everyone.

See the Opportunity Read the Thesis
Early access

We want your hardest problem

The best first project is the one you care about most — not the easiest one.

Founding cohort
7 of 10 spots remaining

Get a tighter first deployment plan

We want the risky workflow, the edge cases, and the questions you can't answer with just logging.

Help designing your first safe AI workflow
Joint rule-writing for high-risk actions
Direct feedback loop into product development
Founding cohort

Apply with the workflow you care about most

Tell us who you are and what you want to govern first.

Start with one high-impact workflow. We'll use that use case to shape the policy model and rollout plan.

Frequently asked questions

Guardrails filter what AI says. Logging records what happened after the fact. HELM sits between the AI and real actions — it decides whether something can happen before it runs, then saves the decision as proof.