We built Credence because CRE operations deserve infrastructure every team can trust.

This is as far as you go with a point solution.

Between us, we have sat on every side of the institutional CRE stack: managing capital on behalf of LPs, re-building CRE loan processes inside major commercial banks, growing asset management businesses, and delivering technology across CRE operations.

The same friction showed up everywhere. Financial data arrived from different systems, on different schedules, in different formats. Yardi at one property, MRI at another, QuickBooks at a third, Excel from the rest. Source documents sat in shared drives and email threads. Everyone could produce a number, but proving the path behind it took too long.

Prior solutions often added more cost and complexity without resolving the underlying problem. Teams bought another tool, hired around the gap, or rebuilt spreadsheet processes every reporting cycle. The work got done, but the operating foundation never became more reliable.

Meet the data where it is.

We started ingesting data from Yardi, MRI, QuickBooks, and Excel-based workflows. "Garbage in, garbage out" became the problem behind the problem every time. We also noticed other point solutions had a ceiling on what they could accomplish. Replacing the standard ERP choice in an industry has never been easy. But it felt like the only long-term solution worth pursuing.

At the same time, AI started to do the work we were doing manually. And not in a quaint way but in a way that was actually useful. But we knew even 99.9% accuracy is not good enough for institutional accounting. We needed to be able to trust the data and the work that was being done.

AI matters most when the underlying records are governed and traceable. That is why we designed Credence to be data- and AI-driven but human-verified: AI and code handle repetition, while teams stay in control where judgment matters.

Build the full platform without forcing the full migration on day one.

Institutional CRE teams need a path that respects the reality of their portfolios. Operators use different systems. Investors expect reports on a fixed schedule. Existing processes cannot pause for a platform replacement.

Credence is built to grow with that reality. Start with financial reporting, document intelligence, or a broader accounting workflow. Each layer stands on its own, and each one strengthens the shared data foundation as your team expands.

The long-term picture is simple: everyone in the institutional CRE stack, from property manager to LP, operating from one integrated data layer. Reporting quality should be built into infrastructure, not dependent on the right person being in the room.