Cut spreading time by up to 95%, compress handoffs, and maintain complete audit trails. AI-powered automation that credit ops and risk teams can trust.
Most credit decisions are bottlenecked by document cleanup. Bank statements, tax returns, and supporting schedules arrive as fragmented PDFs and inconsistent exports.
This forces underwriters into operational constraints, hunting for pages and re-keying data instead of exercising high-leverage judgment.
Sea.dev automates the cleanup, reconciles inconsistencies, and creates machine-usable structure from day one—reducing cycle times and operational risk exposure.
Faster Spreading*
Extraction Accuracy*
Capacity Increase*
*Based on SME Capital deployment. Results vary by document type and workflow.
→ Learn moreWe bridge the gap between lenders and borrowers. Our embedded AI assistants provide real-time guidance, ensuring that every submission is complete and contextually accurate before it ever reaches an underwriter.
Identity and entity structure data prepared to accelerate your KYB workflows.
Assistants that understand loan policies, and match them to borrower profiles.
Timelines slip because of handoffs—not decisions. Hover to see how we transform each stage.
Pipeline stalls waiting for missing financials. Analysts chase instead of analyze.
Secure portal with auto-validation.
Manual data entry. Slow, error-prone, wastes expert time.
Structured data, 98% accuracy.
Underwriters become investigators. Manual validation slow decisions.
AI answers with citations.
$7.38M from Revenue − COGS. Pg 12
Deals wait in line. Momentum lost, competitors win.
Pre-verified, full traceability.
Row 14, Col D • Consolidated Statement of Operations
Accuracy alone isn't enough—you need to defend your decisions. Our system earns trust by allowing reviewers to see exactly where numbers come from and how they were transformed.
Pixel-level lineage back to source documents.
Automated flagging for extraction uncertainty.
Full audit trail for every manual correction.
We provide signals to help identify potentially altered or synthetic documents. These checks complement your existing fraud and compliance workflows.
Flag documents with inconsistent creation dates, author fields, or editing history.
Identify unusual formatting patterns or structural anomalies in PDFs and images.
Surface discrepancies between related documents (e.g., names, addresses, figures).
Note: These are risk signals for human review, not definitive fraud detection. Final decisions remain with your compliance team.
"Run a deep dive on this deal"
Modern lenders aren't constrained by access to information—they're constrained by underwriting capacity. Our platform expands what you can evaluate per deal by capturing far more than financials through flexible schemas, then running deal-level workflows that surface risk signals automatically.
Every deal gets the same structured assessment—not dependent on which analyst had time.
Evaluate documents historically ignored due to time cost: bank statements, sector risk reports, supporting schedules.
Surface non-obvious insights by combining signals across sources, not reading them in isolation.
Full deployment within your secure environment, VPC, or on-premise infrastructure. Tier 1 ready.
View documentation →Reduction in manual spreading time for standard loan products.*
Read case study →Slot our review experience directly into your internal lending portal.
View documentation →*Based on customer deployment with SME Capital. Results vary by document type and workflow.
Modernizing SMB and commercial lending workflows.
SBA loans, term loans, and lines of credit.
C&I loans, real estate, and equipment financing.
Revenue-based financing, factoring, and asset-based lending.
White-label credit products for vertical SaaS platforms.
Automated SMB underwriting for digital-first lenders.
See how we can cut your spreading time by up to 95% while maintaining full auditability. We'll walk through your current workflow and show exactly where we fit.