Sensible

API-first document data extraction for financial services, insurance, and logistics

Document Management Startup 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

At a Glance

Founded: 2020
Headquarters: San Francisco, California, USA
Employees: 11-50
Funding: Seed

Category & Focus

Category: Document Management
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