About
We Built Clairo Because We Ran These Workflows
Clairo was founded by operators who spent years inside syndicated lending and credit operations — processing drawdown notices, keying data into LoanIQ, and watching automation projects fail.
The Problem We Lived
This isn't a market we researched from the outside. It's the work we did — and the failure modes we watched firsthand.
The headcount problem
Every year the document volume grew. Every year the ops team grew with it. Drawdown notices, borrowing base certificates, compliance certs — each one read by a human, each field typed by hand. The team went from five people to twenty, then thirty, then fifty. The work never got faster.
The RPA graveyard
We tried UiPath. We tried OCR vendors. We tried offshore processing. Every solution worked on the demo documents and broke on production — because real lending documents don't follow templates. Borrowers use their own letterhead. Agent banks reformat notices. Scanned PDFs arrive without searchable text.
The error that stuck with us
A transposed digit on a drawdown amount. Caught three days later during reconciliation. $50M facility. The ops analyst who keyed it was competent — they were just on their forty-second notice of the day. That's when we stopped asking how to hire more people and started asking how to remove the keying entirely.
Why We Built Clairo
The technology finally caught up to the problem. We built the product we wished we had when we were on the ops floor.
AI that reads like an ops analyst
Large language models can interpret unstructured lending documents the way a trained ops analyst does — understanding context, not just pattern-matching templates. We built Clairo's pipeline around that capability, with schemas derived from real field definitions used in production LoanIQ environments.
Confidence scoring, not blind automation
We never believed in fully unattended processing for credit operations. Every field gets a confidence score. Required fields below threshold go to human review. The goal isn't to eliminate ops staff — it's to eliminate the keying so they can focus on exceptions and judgment calls.
LoanIQ-native from day one
Clairo isn't a generic document AI tool adapted for banking. The 20 document schemas, field aliases, and extraction logic were built from the document types that actually flow through syndicated lending operations — and the output is structured for LoanIQ entry.
What We Believe
- 1Credit operations is a $10B+ labor market hiding in plain sight.
- 2The right automation keeps humans in the loop — it doesn't remove them.
- 3Banks will adopt AI that fits their existing systems, not AI that replaces them.
- 4Trust is earned one document at a time, with audit trails and confidence scores.
Questions? Reach us at founder@clairoiq.com
Built by Operators. Ready for Design Partners.
We're onboarding a small number of banks and lending institutions with active LoanIQ environments. If you've lived this problem too, we'd like to hear from you.
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