MartinLoop helps people use AI agents to build software without stitching together multiple tools to plan, supervise, verify, and recover the work. AI agents can write software quickly, but they often say a task is finished when important work is still missing. That forces people to manually review the output, check tests, track costs, and fix failures across disconnected systems. MartinLoop brings that workflow into one place. Users define what a task should accomplish, what the agent is allowed to change, and what proof is required before the work counts as complete. MartinLoop then tracks the work, checks the result, stops bad runs, and returns a clear handoff showing what happened and what still needs attention. Our aim is to build the management layer for autonomous software work, so teams can delegate work to AI agents, walk away, and trust it will be completed without rogue behavior or a patchwork of disconnected tools.
Sector:
Business Productivity
