🚀 Rely Launches: Automating The Most Broken Process in Commercial Real Estate
Every major breakthrough company starts by replacing a process everyone has quietly accepted as “just the way it works.” In commercial real estate, that process is due diligence.
Picture this.
You receive a data room: 60 gigabytes. 45,000 documents. ~600,000 pages.
You’re told to enter 75 data points per unit, reconcile conflicts across documents and financial statements, and finish before the deal clock runs out.
Forty-five minutes later, you’ve completed your first row! There are 999 to go.
At the end of the week, after hundreds of hours across multiple analysts, someone asks a simple question: Where did that number come from?
You don’t know. You search. Eight files look plausible. Two hours later you find the answer and realize you used the wrong value in several places. The downstream models are now wrong. The cycle repeats.
This is not a failure of effort or intelligence. This is simply how multifamily diligence works today. Even at the most sophisticated institutions in the world.
The Real Problem: A Fundamentally Broken Data Environment
Multifamily diligence is uniquely painful not because the industry is unsophisticated, but because the underlying data environment is hostile to analysis.
1. The data is unstructured, inconsistent, and fragmented
Every party, buyers, sellers, lenders, brokers, operates from a different partial view of reality. Information lives across document repositories, PDFs, scans, property systems, spreadsheets, and email threads. Slightly different versions of the “same” document exist everywhere. Nothing reconciles cleanly.
2. The documents were never designed for computation
Leases, amendments, vendor contracts, estoppels, and financials were written for legal and compliance purposes, not analysis. They are long, exception-heavy, inconsistently formatted, and often scanned. For decades, humans were the only viable parser.
3. Accuracy matters more than the tools allow
Small errors compound into massive downstream risk. Yet most diligence relies on sampling, because full coverage is too slow and too expensive for humans alone. Spot checks become norms.
4. The process depends on tribal knowledge
Every firm runs diligence differently. Templates, formulas, heuristics, and expertise live in people’s heads. When someone leaves, goes on vacation, or gets overloaded, quality drops. There is no system of record. No memory. No automatic validation.
5. Time pressure forces bad tradeoffs
Deals move fast. Deadlines are fixed. Teams are stretched thin. Accuracy is supposed to be non-negotiable, yet teams routinely choose between “good enough” and “we don’t have time.”
This is why diligence remains slow, fragile, and error-prone, even for institutional investors managing billions. The process persists not because it’s good, but because there was no alternative.
Why This Can Finally Be Automated
The reason multifamily diligence hasn’t been automated before is simple: the technology wasn’t ready. Today, it is.
1. Extraction quality finally crossed the trust threshold
Modern multimodal models can reliably extract structured data from the messiest of files with high accuracy. Full-coverage extraction is now more accurate than human sampling, and discrepancies surface immediately.
2. Document processing is no longer a bottleneck
OCR, parsing, version comparison, and reconciliation now run in minutes, not days, across massive data rooms. Parallel processing makes exhaustive audits viable for the first time.
3. Reasoning is the real unlock
We can now:
Cross-check values between documents
Resolve conflicts logically
Identify missing or inconsistent information
Validate rent rolls against leases
Interpret exceptions and conditional clauses
This is true skilled labor automation.
4. The ROI is immediate and undeniable
Teams are overwhelmed. Outsourcing leads to untrustworthy, inconsistent results. Labor is scarce. Errors are expensive. Automation now delivers what executives actually care about:
95%+ time reduction
Full-coverage
Traceability for compliance and investors
Faster closings
AI isn’t a novelty here. It’s the only scalable answer.
Enter Rely
Rely ingests entire data rooms and runs full-coverage audits across leases, rent rolls, contracts, financials, and more. Every output is traced directly back to its source, creating a single system to understand, validate, and manage the entire transaction lifecycle.
We are not building another underwriting tool. We are replacing a massive, manual human process that underpins how commercial real estate actually operates. Here is what our customers say.
Where We Are Today
Rely is live, actively used by some of the most sophisticated operators in the industry, and backed by partners who understand both the scale of the problem and the importance of getting this right. Operators like Cardinal Group Companies and Elm Grove, experienced executives like Howard Smith and Chase Gilbert as well as investors like Better Tomorrow Ventures.
The interest we’ve seen so far has been overwhelming and it’s coming from teams who feel this pain every day.
What We’re Looking For
We’re continuing to learn from the best operators, investors, and diligence teams in the market. If you’ve experienced this pain or have strong views on how it should work, we want to hear from you.
This is the beginning of a fundamental shift in how commercial real estate transactions get done.