Before writing a line of code, we spent years inside the work: financial models at two in the morning, four-hundred-page CIMs read for the three numbers that mattered, junior analysts losing weeks to work that should have taken hours.
The manual diligence process — extract, structure, calculate, write — has not fundamentally changed in three decades. Not for lack of will, but because the technology wasn’t ready: extraction was brittle, and language models hallucinated the very numbers that decide a deal.
That changed. Software can now read and reason over deal documents reliably enough to carry the analytical heavy-lift — repeatably, at the scale a growing team requires. Diligenco exists to give every serious investor the analytical infrastructure that was once the privilege of the largest institutions, designed around the real workflow of a deal rather than the demo workflow of a software vendor. We’re building that infrastructure AI-native, from the ground up — the intelligence layer for how private markets will underwrite in the years ahead.