Now in private design partnership

Economic infrastructure for autonomous systems.

Halidron provides programmable policy and treasury infrastructure for autonomous systems consuming real-world resources — compute, APIs, data, and services.

Join design partner program Read technical overview

Currently in private design partnership with select AI infrastructure teams.

Halidron sits between autonomous agents and the infrastructure they consume

The missing layer

Autonomous systems are becoming economic actors.

Agents now invoke models, call APIs, consume compute, and trigger downstream services on behalf of organizations — at machine speed and machine scale.

Existing financial and access systems assume a human in the loop: a person approving a charge, signing a contract, reconciling a ledger. That assumption breaks the moment software starts spending.

Halidron builds the economic infrastructure layer autonomous systems need to operate safely against real-world resources — programmable, attributable, and audit-ready by default.

Platform

Six primitives. One infrastructure layer.

Programmable budgets

Define spend envelopes per agent, task, or workload. Enforce them inline before resources are consumed — not after a bill arrives.

Policy enforcement

Declarative policies that gate every economic action. Vendor allow-lists, rate ceilings, escalation thresholds, human review hooks.

Audit-ready ledgers

Every call, every dollar, every decision recorded as immutable, queryable history. Reconciliation becomes a primitive, not a project.

Infrastructure attribution

Trace consumption from end-user request to model token to vendor invoice. Attribute cost back to the workload that caused it.

Spend governance

Multi-party approvals, anomaly detection, and freeze controls designed for systems that move faster than human review cycles.

Agent controls

A control plane for autonomous systems — pause, scope, sandbox, or revoke economic authority without redeploying the agent.

Developer primitive

A single context manager between agents and resources.

Halidron sits inline between autonomous systems and the economic resources they consume. Wrap a call site once — every downstream invocation is governed, attributed, and recorded.

Drop-in across OpenAI, Anthropic, and any HTTP client
Zero-config attribution from request through invoice
Policies version-controlled alongside application code

policy.py

Python

# Halidron governs every economic action inside the block
import halidron
import openai

with halidron.policy(agent="research-agent"):
    response = openai.responses.create(
        model="gpt-5",
        input=task.prompt,
    )

    # budget, vendor allow-list, and attribution applied automatically
    artifact = pipeline.run(response)

Operational flow

Every economic action, governed inline.

What used to be a quarterly reconciliation problem becomes a per-call primitive — enforced before the resource is ever consumed.

Halidron sits inline between agents and economic resources, enforcing policy, budget, vendor, attribution, and ledger

Design partner program

Building autonomous systems in production?

We are partnering with a small number of teams shipping autonomous systems against real economic resources. Direct collaboration with the founding team, deep technical access, and co-designed primitives.