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Who it's for

Built for credit and asset managers.

If your fund buys, holds, monitors, or works out asset-based credit — CRE bridge, fix-and-flip, DSCR, Non-QM — and your operation runs on people moving documents, this is the layer underneath it.

Primary fit

Credit & ABF fund managers.

Mid-market CRE and real-estate credit funds — roughly $1–4B in AUM — run their entire operation out of the management fee, and as banks retreat the volume keeps climbing while the team can't scale with it. Agents do the operating work, so volume can grow without the headcount growing with it.

Sourcing → acquisition → monitoring → workout

The full credit lifecycle handled as agents rather than as ever-growing teams — each function staffed by an agent that does the work, with people supervising the exceptions instead of moving the documents.

  • Sourcing and tape intake without an analyst queue
  • Acquisition diligence and decisioning on every file
  • Ongoing monitoring and workout — 10–13× the labor on NPLs handled by the agent

Start with one agent, add the rest

Start where a single function hurts most, prove it on the fund's own data, then add the next agent on a foundation that's already paid for — each one cheaper to deploy because the source of truth is already in place.

  • First agent lands against an acute, measurable pain
  • The integrated data layer carries over to every function after it
  • Each agent after the first is cheaper to deploy on a foundation that's already paid for

Your credit box, your mandate

The fund keeps its capital, its LP relationships, and its credit judgment — we are the platform underneath, not the fund. Agents run the operation against the fund's own policies, in the fund's own environment.

  • Capital and LP relationships stay entirely with the fund
  • Agents execute the fund's mandate, not ours
  • Deployed in the fund's environment under the fund's controls
Secondary fit

Note buyers & credit investors.

Teams buying hundreds to thousands of loans a month from multiple sellers already pay for diligence — through internal teams or third-party review firms — so the question isn't whether to diligence, it's how to do it faster and catch more. We've validated $200M+ a month of tape across these workflows.

Tape-to-bid in hours, not weeks

A seller's tape comes in and a bid-ready read comes back the same day — roughly 8× the speed of the manual cycle — so a buyer can move on more sellers and more tapes without growing the diligence team behind it.

  • Multi-seller tapes ingested without a manual queue
  • ~8× faster than the analyst-driven cycle
  • $200M+ a month of tape already validated through the platform

Decomposed valuation + buy/no-buy decisioning

Every loan is taken apart into the factors that drive its value and put back together into a defensible mark, so the buy or no-buy call carries its full reasoning rather than a single opaque number.

  • Loan-level valuation broken down to its drivers
  • A clear buy / no-buy call on every file
  • Reasoning a credit committee can audit and trust

Catches what internal teams and TPR firms miss

On a single tape during one walkthrough, the platform caught a $1.5M liquidity discrepancy that an experienced team had not — the kind of miss that turns a clean-looking pool into a loss, surfaced before the bid went out.

  • $1.5M liquidity discrepancy caught on a single tape
  • Surfaced in a walkthrough, before the bid
  • Exceptions the manual review missed, flagged for a human
Tertiary fit

Originators.

Bridge, hard-money, and DSCR lenders need their documents handled and their files turned into investor-grade output, so they can sell into the secondary market faster.

Intake validation + exception surfacing

Every file is validated as it comes in and anything off — a missing document, a figure that doesn't reconcile — is surfaced for a person to resolve, so problems get caught at intake rather than at sale.

  • Each file validated against the lender's own requirements
  • Missing or inconsistent items flagged at intake
  • People resolve exceptions instead of hunting for them

Investor-grade output on every file

Files come out in the form a buyer expects — complete, consistent, and ready to diligence — so a loan moves from origination to a sellable package without a manual cleanup pass before each sale.

  • Consistent, buyer-ready output on every loan
  • No manual cleanup pass before each sale
  • Clean structured data that feeds the platform downstream

Faster secondary-market execution

When the file is already investor-grade, the sale happens sooner and capital recycles faster — the originator spends less time packaging loans and more time writing the next ones.

  • Shorter path from close to sale
  • Capital recycles faster into new originations
  • Less time packaging, more time lending

Find the agent that fits your seat.

Tell us where you sit and which function hurts most; we'll show you the agent that runs it and how we'd deploy on your data.

Talk to us