Tech Orbit

When people talk about AI investment due diligence, they often describe it like a single checklist: model performance, market size, regulatory risk. In practice, the work looks different depending on the sector. A healthcare AI investment needs evidence that survives clinical scrutiny. A financial services investment needs controls and auditability that withstand operational reality. A developer tooling AI investment can move faster, but the risks shift toward data provenan