CORTICAL.IO

Natural language understanding for insurance document automation

Document Management Growth Series A

Overview

Cortical.io is a natural language understanding (NLU) platform for insurance carriers, MGAs, and reinsurers, automating document-intensive workflows including submissions intake, policy analysis, and quoting. The company is headquartered in Vienna, Austria with offices in New York and San Francisco.

The platform is built on Semantic Folding, a patented technology modeled on how the human brain encodes language. Text is represented as Sparse Distributed Representations (SDRs) -- compact semantic fingerprints -- enabling document extraction and classification without reliance on large training datasets or compute-intensive deep learning models. The flagship product, SemanticPro, applies this approach to extract, classify, and compare insurance documents such as policy forms, submissions, and competitor quotes, reaching 90%+ accuracy with as few as 100 training examples.

Cortical.io raised a USD 6M Series A in September 2021, bringing total disclosed funding to approximately USD 11.1M. Swiss Re is a named strategic partner. The company has been recognized on the InsurTech100 list for three consecutive years through 2024 and joined AIM Global in early 2025.

Products & Services

SemanticPro

An intelligent document processing platform that extracts and analyzes insurance documents based on semantic meaning rather than keyword matching or template rules.

Key Features

Automated extraction from policy forms, submissions, and endorsements
Competitive policy matching with 94% reported success rate
Document similarity scoring for comparison and classification
Minimal training data requirement (approximately 100 examples)
Language-agnostic processing
Business user interface for configuration and review

Target Users: Underwriters, submissions teams, policy operations staff at carriers, MGAs, and reinsurers

Submissions Intake Automation

A workflow module that classifies and routes incoming submission documents, reducing manual triage and data entry.

Key Features

Automated document classification
Structured data extraction from unstructured submissions
Integration into existing underwriting workflows

Target Users: Commercial lines and specialty underwriting teams

Quoting Automation

Accelerates the quoting process by automating competitor policy analysis and comparison.

Key Features

Competitor policy ingestion and parsing
Feature-level policy comparison
Structured output for pricing and coverage gap analysis

Target Users: Product and pricing teams, underwriters

Policy Analysis

Automated policy review and classification with redlining capabilities for policy operations teams.

Key Features

Policy provision interpretation using meaning-based processing
Automated redlining and comparison
Structured output for policy operations workflows

Target Users: Policy operations staff, underwriters

NLP API

A public API at api.cortical.io offering natural language processing capabilities including keyword extraction and text similarity analysis.

Key Features

RESTful API access
Keyword extraction
Semantic similarity scoring

Target Users: Developers integrating NLU into custom insurance applications

At a Glance

Founded: 2011
Headquarters: Vienna, Austria
Employees: 51-200
Funding: Series A

Category & Focus

Category: Document Management
Subcategories: Intelligent Document Processing NLP/NLU Policy Analysis Submissions Automation
Insurance Verticals: P&C Commercial Specialty/E&S Reinsurance
Target Customers: Carriers, MGAs/MGUs, Reinsurers