≥ Universal Ingestion ° Configurable Pipelines • Governed Review
Document processing outline for technical leaders
Sea.dev provides document intelligence for business lending teams by combining flexible ingestion, a configurable extraction engine, and a governed human review layer. The platform is designed so engineering leaders can introduce automation without sacrificing control, auditability, or time to value.
This outline focuses on what the platform delivers at each stage of a lending workflow and how teams can configure it without heavy implementation work.
Platform overview
Ingestion handles PDFs, images, spreadsheets, and structured files through uploads, API endpoints, and common storage connectors. Pipelines are schema-first, letting you model the fields, sections, validation logic, and derived calculations you expect from each document type. A governed review experience introduces analysts only where confidence is low, and every decision feeds model quality and audit trails.
Outputs flow into your existing systems through export options, embedded UI, or programmatic APIs. Each stage is versioned and traceable so you can move from evaluation to production with predictable rollouts.
How teams operate with Sea.dev
Ingestion
Source documents arrive through email intake, S3 or SFTP connections, batch uploads, or direct API calls. Document type detection and language support ensure pipelines are selected automatically.
Pipelines
Extraction steps align to your specification with field-level rules, cross-field constraints, and derived metrics. Versioning, promotion between environments, and rollbacks help teams manage change safely.
Review
Analysts see low-confidence items first, can cite source pages, and follow queue routing that mirrors your roles and SLAs. Feedback is logged so the system improves on recurring document patterns.
Delivery
Results can be exported for copy-and-paste workflows, embedded into internal tools, viewed in the hosted app, surfaced through chat-style answers, or delivered via REST and webhook integrations.
Governed control and reliability
Audit trails capture every extracted value, reviewer action, and model change. Policy-aware guardrails and sampling keep quality consistent, while configurable escalation paths direct attention to the right teams.
Pricing and performance scale with volume, allowing you to automate repetitive tasks while reserving human review for edge cases that need specialist judgment.
Design pipelines that match your specification
Schema-first configuration
Model the exact fields and validation logic you expect, including nested tables, calculated metrics, and supporting document metadata. Reusable templates help new customers and products launch quickly.
- Field-level constraints with cross-field rules for underwriting and risk checks.
- Promotion workflows so changes can be tested and released with confidence.
Purpose-built extraction models
Choose tuned models for bank statements, financial statements, and transaction classification. Confidence thresholds and fallbacks to human review maintain quality when inputs vary.
- Confidence scoring and anomaly surfacing per field.
- Feedback loops to refine models as reviewers correct edge cases.