Labs

Experiments that support practical AI engineering.

Flint Nova Labs is the research and open-source side of the company, focused on small systems that can be inspected and reused.

The lab focuses on what teams can actually use.

Every lab project starts from a workflow problem: trapped knowledge, unclear handoffs, weak review loops or tools that force teams into one platform.

Small, usable tools that solve a real operational problem before they become platforms.

Open-source software and field notes for teams learning how to work with AI responsibly.

Research written in plain language so technical and non-technical teams can make better decisions.

Current tracks

How teams can extract useful context from AI work without migrating full chat history between platforms.

Interfaces that process files on the user's computer by default and avoid unnecessary accounts, storage and tracking.

Ways to make prompts, procedures, decisions and automations easier to review and reuse.

Documentation, privacy promises and contribution paths that help non-technical users understand what software does.