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Aloan

AI-native commercial loan origination

Aloan is an AI-native commercial loan origination system that takes borrower documents through spreading, credit policy checks and a committee-ready memo with every figure traced to its source page, covering SBA, CRE, C&I and equipment finance. A credit union can run it as its commercial LOS or alongside an existing one; it names three customers, including Alliance Catholic Credit Union, and was founded in 2025.

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What it is

Aloan describes itself as an AI-native commercial loan origination system. It runs the commercial credit file from raw borrower documents to a committee-ready memo and monitors covenants after booking, and a credit union can run it as its commercial LOS or alongside the origination system it already has, without touching the core or the consumer system. The published workflow starts with a white-labeled borrower portal, then document intelligence that identifies, categorizes and validates each submitted file, then financial spreading with ratio calculation, then policy enforcement through what the company calls policy agents, then memo generation, then covenant monitoring after booking. Source traceability is the stated design principle: every calculated figure maps back to the document it came from with a full audit trail, which is the property that makes an automated spread defensible when an examiner asks where a number originated. Loan products named are SBA, CRE, C&I and equipment finance, and the company states a document-to-memo path under 30 minutes. It runs standalone or alongside an existing origination system through REST APIs and webhooks. Its homepage names three customers, Buckeye State Bank, Alliance Catholic Credit Union and West Central Bank, so one named credit union is on the record. The company was founded in 2025, which makes its track record the shortest in this research.

What it does

  • White-labeled borrower portal for document submission
  • Document intelligence that identifies, categorizes and validates each file
  • Financial spreading with ratio calculation across entities and guarantors
  • Policy agents that enforce the institution's own credit policy and flag exceptions
  • Credit memo generation with every figure traced to its source document
  • Covenant monitoring after booking, with periodic document collection

Strengths

  • Covers the whole commercial credit workflow in one product, from intake and spreading through policy checks and memo generation to covenant monitoring, rather than one slice of it
  • Source traceability is a design principle rather than a feature: every calculated figure maps to its source document with an audit trail, which is exactly the evidence an NCUA examiner asks for on an automated spread
  • The embedded mode connects to an existing origination system through REST APIs and webhooks, so adopting it does not require a platform migration or touching the core
  • States SOC 2 Type II, which is the first gate in most credit union vendor due diligence
  • One of very few products in this research that addresses member business lending analysis specifically rather than consumer lending with a business loan type attached

Considerations

  • Three named customers on its homepage, one of them a credit union (Alliance Catholic Credit Union), is a short reference list next to vendors with hundreds of credit union installs
  • Founded in 2025, so the production track record is short by the standards of this segment, where competitors have decades inside credit unions
  • Part of its visibility in AI-assisted research is self-referential: two of the assistants we read reached it through a comparison page it publishes itself, which is the same retrieval path several vendors in this category rely on and it is worth discounting accordingly
  • Like every other vendor in this segment, it publishes no Part 723 cap calculation and no loan participation capability
  • Its pricing page sets out the model, a monthly minimum sized to the institution plus per-document overage with no per-seat fees, but no dollar figures, so a budget still needs a quote; the 30-minute claim is vendor-stated

Best when

Documents arrive unsorted, the entity structure is layered, and the memo deadline is the constraint.

Aloan FAQ

Does Aloan replace our loan origination system?

It can, for commercial lending, and it does not have to. It describes itself as a commercial loan origination system and goes live either as the commercial LOS, with borrowers submitting through a branded portal, or alongside the origination system a credit union already runs, connected through REST APIs and webhooks. Either way consumer origination and the core stay where they are.

What is the weakest part of its evidence?

Track record. It was founded in 2025 and names three customers, two banks and one credit union, so the reference pool is small. Ask for a reference call, ideally with the credit union, and run a paid pilot on your own files with written acceptance criteria before committing to a term.

How does it help in an exam?

Through traceability rather than through any published NCUA feature. Every calculated figure maps back to the source document and page, and covenant tests are recorded per period, which is the documentation an examiner asks for. It publishes no Part 723 cap calculation, a gap shared by every vendor in this research.