
Hypatos
AI-First Intelligent Document Processing for the Autonomous Enterprise

The hybrid document extraction platform

Sensible is an advanced hybrid document extraction platform designed to turn unstructured documents into structured, highly reliable data. It addresses the common pitfalls of pure AI extraction—such as data hallucination and silent schema drift—by combining the dynamic flexibility of Large Language Models (LLMs) with strict deterministic, layout-based guardrails. The platform enables developers to define output schemas where any mismatches fail fast rather than corrupting databases. Key capabilities include 'Config as Code' via SenseML, allowing teams to version control extraction logic and deploy through standard CI/CD pipelines. Sensible also features a Multimodal Engine capable of extracting complex data from charts, graphs, and handwriting, alongside agentic AI workflows and automated email attachment parsing via webhooks. Supporting industries like healthcare, finance, logistics, and real estate, Sensible efficiently processes bank statements, tax forms, Explanation of Benefits (EOBs), and bills of lading. With Enterprise-grade security featuring SOC 2 Type II certification, HIPAA compliance, custom regions, and full audit trails, Sensible provides 'data you can trust' out of the box.
Sensible is an advanced hybrid document extraction platform designed to turn unstructured documents into structured, highly reliable data.
Explore all tools that specialize in hybrid ai-driven extraction. This domain focus ensures Sensible delivers optimized results for this specific requirement.
Explore all tools that specialize in schema enforcement & error handling. This domain focus ensures Sensible delivers optimized results for this specific requirement.
Explore all tools that specialize in senseml 'config as code' & ci/cd deployment. This domain focus ensures Sensible delivers optimized results for this specific requirement.
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Combines dynamic LLM parsing with strict layout-based deterministic rules to ensure accuracy.
Enables developers to define document extraction logic in code (SenseML), version control it, and test against samples.
Uses vision-capable LLMs to process non-text and partial text images, including charts, graphs, and handwriting.
Validates every extraction against a defined output schema; mismatches fail fast.
Define custom output schema
Configure extraction logic using SenseML (Config as Code)
Test logic against sample documents
Integrate via API or direct Webhooks
Deploy directly through existing CI/CD pipelines
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Verified feedback from other users.
“Highly praised for its developer-friendly 'Config as Code' approach and ability to combine rigid layout parsing with flexible LLM logic.”
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AI-First Intelligent Document Processing for the Autonomous Enterprise

The hyperautomation platform that transforms unstructured documents into actionable data with up to 99.5% accuracy.

The Enterprise Unstructured Data Platform for automating complex document workflows.

Accelerate critical workflows through AI-driven Intelligent Document Processing and hyper-automation.

Autonomous AI workflows to capture and automate data from any unstructured document in seconds.
Turn any content into actionable insights that power your AI agents and automations.