What is Modulo?

Modulo is the self-hosted AI-control system of record for your agentic Software Development Lifecycle (SDLC).

When an AI agent changes code, config, or a release, you need to prove who approved it and what it touched — across GitHub, Notion, and every other tool in the chain. That evidence is what SOC 2, ISO 42001, and the EU AI Act ask for, and pulling it together after the fact is where audit cost explodes. Modulo records it the moment it happens.

You define the pipelines, policies, and review gates. Modulo handles pipeline execution, credential management, immutable audit logging, and human-in-the-loop (HITL) governance — so the record of who approved what agent change is always complete.

The problem

Software delivery generates huge amounts of agent-driven work – triaging issues, writing pull request (PR) descriptions, updating tickets, drafting release notes, running evaluation checks. Teams either do this manually (slow, inconsistent) or wire together brittle scripts that skip governance entirely. Either way, when the auditors come asking “who approved this agent change and what did it touch?”, the answer is scattered across a dozen tools — and reconstructing it is expensive.

The Modulo approach

Modulo treats SDLC automation as a governed, auditable pipeline problem. Each step is a discrete, typed, approval-gated agent node. Connectors bridge your tools and write every action into one immutable control record. Model backends route LLM calls. Human-in-the-loop (HITL) checkpoints gate human oversight where it matters — and stamp the approver into the audit trail.

Core promise

We handle the boilerplate. You handle the remainder. And every agent change stays evidence-backed.