We've worked inside the problem.
Matthew Bilo spent years building software inside two of the most operationally demanding environments in quality assurance and field operations. Not pitching to them. Working inside them. The problems you see from there are different from the ones you see from outside.
Domain expertise across
Supply chain intelligence platform that converts audit and certification data into ESG risk scores across global supplier networks. Helps procurement and compliance teams identify, monitor, and remediate supplier risk at scale.
No-code platform for managing forms, inspections, permits, and project workflows for field teams in construction, infrastructure, and resources. Built for complex, high-stakes operational environments.
The founder
Across 15 months at LRQA EiQ, Matthew built GenAI tooling processing 85 million supply chain data points and stress-tested the compliance platform to 80% test coverage. At Sitemate, he helped architect Dashpivot features contributing to $2M MRR and shipped voice-powered AI into field operations workflows. Both roles pointed to the same problem: AI-assisted development is making code production fast and cheap, but in environments where compliance, accuracy, and certification are the job, fast and precise are not the same thing.
The industries that interest Matthew most are those still running on tools that haven't kept pace with their operational complexity, where the right automation clearly exists but hasn't been built to the right standard. His broader concern is how that changes in an AI-first world: generative tools make code production cheap, which makes the engineers who insist on precision and security more important, not less. In environments where the cost of getting it wrong is real, that question is not theoretical.
The problem worth solving
Generative tools make code production cheap. That makes the engineers who insist on precision and security more important, not less. Especially in environments where failure has real consequences.
That's the problem Bilo Labs cares about. Industries where the right automation clearly exists but hasn't been built to the right standard: quality assurance, inspection, certification, field operations, and anywhere else where the stakes are operational, not theoretical.