Skip to main content

One set of collateral facts for every borrowing base report

Borrowing base and servicer reporting should not depend on re-keying data between spreadsheets. StarterStack is a managed data engineering service that connects your systems into one shared data layer, then keeps it working.

Where the time goes

  • Borrowing base calculations are assembled by hand from servicer reports, aging schedules and spreadsheets
  • Servicer data is reconciled by hand across asset classes
  • Totals differ between reports, and someone has to explain why
  • The eligibility rules live in spreadsheets and in the heads of a few people

How StarterStack works

We build and run a shared lending data layer and managed reporting and exception workflows for Asset-Based Lending funders. Reports, alerts, dashboards, workflows and AI agents are outputs of that layer, so they all use the same approved facts.

  • Model before output. We agree on definitions for deals, payments, balances, partners, rules and exceptions, and on which source wins when two disagree, before anything is built on top.
  • Managed delivery. We map the sources, test the totals, produce the agreed output, monitor each run and update the mappings when your systems or rules change.
  • Human approval. A named rule owner on your side approves definitions, samples, recipients and acceptance tests before release.

Who this is for

  • Asset-based lenders with recurring borrowing base, servicer reconciliation or draw reporting
  • Lean teams that run on several systems and spreadsheets and have no data team with capacity to own the workflow
  • Executives accountable for collateral visibility and operating control

Who this is not for

  • Lenders without a recurring data or reporting workflow
  • Firms looking for a full lending-system replacement or a generic AI strategy engagement
  • Lenders whose internal data team already owns the workflow and has capacity

Frequently asked questions

What does StarterStack do for asset-based lenders?

StarterStack is a managed data engineering service for US non-bank lenders. We connect loan systems, CRMs, bank feeds, spreadsheets, inboxes and partner files into a shared lending model. The model gives deals, payments, balances, partners, rules and exceptions consistent definitions, so reports, alerts, workflows and AI agents use the same approved facts.

Do we need to replace our lending system?

No. A full-system replacement is not part of the offer. You keep the systems you already use, and we start with one recurring workflow.

How does an engagement start?

With one recurring report, reconciliation or exception workflow. You provide source access, sample outputs, business definitions, a rule owner and acceptance criteria. We map the sources, set which source wins when two disagree, document the calculations, test the totals and produce the agreed output. We then monitor each run and update the mappings when your systems or rules change.

Where do AI agents fit?

AI agents are outputs of the shared data layer, not the core of the service. A named rule owner on your side approves definitions, samples, recipients and acceptance tests before anything is released. AI output does not replace your lending controls.