Structure from the start
Get the foundation right so everything built on top of it is easier. Most systems become hostages to their own complexity. We designed Credence so it gets simpler to maintain, not harder.
Our team has worked across institutional real estate, commercial banking, operating platforms, and software delivery. From every seat, we saw the same pattern: critical decisions depending on fragmented systems, manual translation, and numbers that were hard to access and harder to defend.
We didn't see a talent problem. We saw an infrastructure problem. And it gets worse, not better, when you add more point solutions that do not talk to each other.
See what we builtBetween us, we have sat on every side of the institutional CRE stack: managing capital on behalf of LPs, rebuilding 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 the same spreadsheet process every reporting cycle. The work got done, but the operating foundation never became more reliable.
Adding more tools only makes the problem worse. Existing vendors are incentivized to keep the gap going.
We started by ingesting data from Yardi, MRI, QuickBooks, and Excel-based workflows. "Garbage in, garbage out" became the problem behind every problem. Point solutions had a ceiling on what they could fix. Replacing the standard ERP in an industry has never been easy, but it felt like the only long-term answer worth building.
AI changed the way we think about data and work. It is not even called "data" anymore. It is called "context."
At the same time, AI started effectively performing work we had been doing manually. But 90% accuracy is not enough for institutional accounting. You need to be able to trust the data and verify the work.
AI matters most when the underlying records are governed and traceable. That is why Credence is data- and AI-driven but human-verified: AI and automation handle repetition, while teams stay in control where judgment matters.
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: everyone in the institutional CRE stack, from property manager to LP, operating from one integrated data layer. Reporting quality built into infrastructure, not dependent on the right person being in the room.
Your data should stay portable, auditable, and available to your team on your terms.
How we build
Get the foundation right so everything built on top of it is easier. Most systems become hostages to their own complexity. We designed Credence so it gets simpler to maintain, not harder.
Computers apply rules and patterns better than people. People recognize when those patterns are wrong and make the call. We build for both.
Teams should be able to verify every output, access governed data on their terms, and never be trapped inside opaque workflows or proprietary dead ends.
Ready to get started?
We walk through the workflows your team runs today and show how Credence turns fragmented financial and document data into one governed, source-backed operating record.
No setup fees · 30-day onboarding · Dedicated support