# Sensible > API\-first document data extraction for financial services, insurance, and logistics ## At a glance | Field | Value | | --- | --- | | Category | Document Management | | Type | Solutions Provider | | Region | NA | | Headquarters | San Francisco, California, USA | | Founded | 2020 | | Stage | Startup | | Employees | 11-50 | | Funding | Seed | ## Overview Sensible is a document data extraction platform built for financial services, insurance, logistics, and healthcare companies. The platform converts unstructured and semi-structured documents -- PDFs, spreadsheets, images, and email attachments -- into structured, schema-validated data via a RESTful API. Target customers include carriers, MGAs, brokers, and B2B technology providers that process high volumes of insurance forms, COIs, policy documents, and financial records. The platform uses a hybrid extraction architecture called SenseML, combining deterministic layout-based parsing rules with large language model (LLM) analysis. This approach handles both rigidly structured business forms and free-form legal documents within the same configuration framework. Sensible offers more than 150 pre-built document configurations, a multimodal engine for images and handwriting, human review tooling, agentic workflow orchestration, and batch processing capabilities. Clients integrate via REST API with SDKs for JavaScript and Python. Sensible was co-founded in 2020 by Josh Lewis (CEO) and Ming Lu, drawing on direct experience building internal document parsing tools at Newfront Insurance. The company raised a USD 6.5M seed round in November 2022 led by Craft Ventures, with participation from Engineering Capital, Clocktower Technology Ventures, and angels including Newfront co-founders Spike Lipkin and Gordon Wintrob. Named customers include Groundspeed, Vouch, AngelList, Spruce, Inspectify, and approximately 16 other organizations across insurance and financial services. ## Products & services ### Document Extraction API RESTful API that converts any document type into structured, schema-validated JSON. Supports PDFs, email attachments, bank statements, driver licenses, insurance forms, utility bills, payroll reports, and policy documents. Includes webhooks and client SDKs. **Key features:** - 150\+ pre\-built extraction configurations for common document types - Schema\-validated structured output with confidence scores - Webhooks for asynchronous processing pipelines - JavaScript and Python SDKs *Target users:* Engineering teams at carriers, MGAs, brokers, and B2B software providers ### SenseML Sensible's proprietary document query language that combines layout-based deterministic rules with LLM-powered analysis. Configuration-as-code design supports version control and CI/CD integration. **Key features:** - Handles both rigid forms and free\-form legal documents - Layout rule and LLM hybrid within a single config - Version\-controlled configuration management - Audit trails with extraction source coordinates *Target users:* Technical teams building document automation pipelines ### Sensible Instruct LLM-based extraction tool for guided, flexible document processing. Intended for teams that prefer natural-language configuration over low-level rules. **Key features:** - Natural\-language query interface for document extraction - Recommended queries feature for rapid setup - Suitable for variable or irregular document formats *Target users:* Business analysts and developers working with non\-standard documents ### Multimodal Engine Extends extraction capabilities to non-text content within documents. **Key features:** - Extracts data from images, charts, graphs, and handwriting - Processes mixed\-content documents containing text and images *Target users:* Teams processing inspection reports, handwritten forms, or image\-heavy documents ### Human Review Manual oversight workflow for quality assurance on complex or ambiguous documents. **Key features:** - Flags extractions below confidence threshold for human review - Integrated review queue within the platform *Target users:* Operations teams requiring accuracy guarantees ### Batch Extract Bulk document processing for high-volume workflows. **Key features:** - Batch upload of large document sets - Excel download of extracted results *Target users:* Back\-office and data teams processing bulk historical or recurring documents ## Category & focus - Subcategories: OCR / AI Extraction, Document Intelligence, API Integration - Insurance verticals: P&C Commercial, P&C Personal, Specialty/E&S, Life & Annuity - Target customers: Carriers, Brokers, MGAs/MGUs, Agents/Agencies ## Notable customers - Groundspeed - AngelList - Vouch - Spruce - Seso - Inspectify - Pulley - Claimer - Marble - Dataprise - Block Renovation - Check - Insurate - Reiterate - Sparrow - Enium ## Links - Website: - Directory profile: - Blog: - About: - Careers: - Pricing: - Linkedin: - Documentation: --- *Last updated: 2026\-04\-09*