Request a Demo
Document automation for lenders

Your underwriters shouldn’t be data entry clerks.

Document intelligence you own. Custom-trained on your documents. Fraud detection across every file. Deployed on your infrastructure. No SaaS subscription, no vendor lock-in.

Live lending operation Cross-document validation Transaction categorization Bilingual extraction
10,000+
Loans processed monthly
50,000+
Documents handled monthly
5
Document types, one pipeline
600,000+
Documents processed per year
In production
Adjacent Labs delivered what three SaaS vendors couldn’t. We went from 45-minute manual reviews to under 2 minutes, on our own infrastructure, in 8 weeks. We own the system.
CTO · Regulated lender, 10,000+ applications/month
Live Regulated lender · 10,000+ applications/month
The problem

Manual document review is killing your throughput.

01

Line-by-line review

Analysts burn hours reading statements and stubs instead of making decisions.

02

New formats, new training

Every new document format means retraining people from scratch.

03

Errors spike with volume

As volume climbs, accuracy drops. Mistakes become rework, chargebacks, or worse.

The solution

Decision-ready data, not another tool to manage.

Built into your existing workflow

No engineering team required. No rip-and-replace. We fit around how you already operate.

Documents in → structured data out

Validated, normalized, ready for your underwriters. You get fields, not files.

Any document type, trained for your workflow

Bank statements, pay stubs, IDs, tax records, proof of address - and any document specific to your underwriting. We train models on your actual paperwork, not a generic library.

Fraud-aware by design

Document tampering, AI-generated statements, and cross-document inconsistencies surfaced before underwriting decisions. Names, addresses, income, and employment cross-checked across every file. The signal regulators and auditors expect.

Bilingual by design

English and Spanish documents handled natively. Mexican IDs, IMSS pay stubs, BBVA/Banamex/Santander/Banorte bank statements. All extracted with the same accuracy as US documents.

Transaction categorization

Every deposit and withdrawal classified automatically. Revenue, payroll, transfers, expenses. Sorted before underwriters see them.

Who we serve

Built for lenders who need real implementation, not another SaaS subscription.

MCA & alternative funders

Bank statement extraction, stacking detection, transaction categorization.

Mortgage lenders & independents

Pay stubs, tax documents, ID verification, cross-document validation.

Community banks & credit unions

On-premise deployment, examiner-ready documentation, no vendor lock-in.

Hispanic-serving lenders

Production OCR for Spanish-language documents including Mexican IDs (INE), pay stubs (IMSS, ISSSTE), and bank statements (BBVA, Banamex, Santander, Banorte).

Why Adjacent Labs

Production systems, not pilot projects.

Production-grade, not pilot-grade

We ship systems that handle real volume from day one. No demos that fall apart on edge cases.

Your infrastructure, your data

We deploy on your servers. You own the models and the data. No SaaS lock-in, no vendor risk reviews to navigate.

Implementation, not subscription

Fixed-scope engagements with milestone delivery. You get a working system, not a recurring bill.

Trained on your documents, not generic ones

Most vendors give you their pre-trained models and hope they fit. We train extraction models on your actual document samples - your formats, your edge cases, your validation rules. Accuracy is higher and edge cases break less often.

Examiner-ready audit trails

Every extraction is logged, reproducible, and ready for examiner review. As commercial financing disclosure laws tighten across multiple states, lenders increasingly need to explain how decisions were made - not just that they were made.

Comparison

How this is different from SaaS doc intel.

  SaaS doc intel Adjacent Labs
Pricing Per-document or recurring monthly One-time implementation
Data location Vendor’s cloud Your infrastructure
Model training Generic, industry-trained Custom-trained on your documents
Vendor lock-in Multi-year contracts None - you own the deployed system
Switching cost Migration, data export, retraining None - the system stays with you
How it works

Three steps to automated processing.

  1. Step 01

    Share a sample of your documents

    Under NDA, or with synthetic/redacted samples if real documents aren’t yet possible. We’ll show live extraction within 5 days.

  2. Step 02

    We build your extraction pipeline

    Tuned to your document types, your edge cases, your validation rules.

  3. Step 03

    Your team gets validated data

    Underwriters review decisions, not paperwork.

Request a demo

See what your documents look like processed.

Send your details below and we’ll walk through your actual documents. Prefer to talk first? Book a 30-minute call.

Adjacent Labs LLC © 2026