Heron Data

What Heron Data does

Heron Data uses AI and LLMs to automate document-heavy workflows, primarily for underwriting in insurance, small business lending, and other specialty finance companies. The platform eliminates manual processes by ingesting, extracting, enriching, and summarizing data from tens of thousands of documents daily, including millions of bank transactions. Heron's solutions help businesses make better decisions faster by organizing, parsing, enriching, evaluating, and syncing application data, tailored to specific workflows. It aims to scale output, save time, and reduce errors in document processing from intake to CRM integration.

Products

• Heron PlatformAn end-to-end document automation platform that handles the entire lifecycle from intake and extraction to enrichment, validation, and downstream delivery. It includes modules for Intake, Parsers, Enrichers, Checks, Analytics, and Relay.
• Heron IntakeStreamlined document capture from any source (email, web portals, API uploads, direct integrations). It automatically classifies documents by type and directs them to appropriate processing workflows.
• Heron ParsersAutomated parsing for lending and insurance documents. It extracts structured data from complex documents, handles various formats including handwritten forms, detects duplicates, and flags missing fields.
• Heron EnrichersAutomated data enrichment that normalizes and augments parsed data with third-party and internal sources, such as normalizing vehicle data, assigning NAICS codes, or adding licensing and financial metadata.
• Heron ChecksAutomated submission and compliance validation. It validates submissions against business rules, underwriting criteria, and compliance requirements, providing instant feedback on completeness, rule violations, and approval status.
• Heron AnalyticsPulls out operational and financial metrics buried inside documents, such as premiums, loss ratios, utilization rates, and exposures, to power underwriting, lending, and risk decisions.
• Heron RelaySends structured outputs to CRM, policy admin systems, or databases, eliminating manual data entry and delays.
• MCA Pricing CalculatorA tool for Merchant Cash Advance (MCA) funders to standardize pricing. When paired with Heron, it automatically populates fields from application documents, bank statements, and submission emails.

Key capabilities

• AI for Real Work
• Consolidate data intake from multiple sources (emails, bulk upload, API)
• Organize files into relevant document types
• Extract key fields from documents into a usable data format
• Machine learning or third-party data sources for context (e.g., bank transaction categorization)
• Automated policy checks and next action triggers (auto-decline, request info, prepare for review)
• Populate records in system of record
• Built around business processes
• State-of-the-art ML with automated feedback
• No engineers needed for setup
• Scalable output for increased application/deal volume
• Universal Document Capture
• Smart Classification of documents
• Intelligent Naming of files
• Workflow Routing for documents
• Real-Time Processing
• Intelligent Routing
• Automated extraction with human-level accuracy and built-in quality controls
• Handles any document format from handwritten to scanned
• Built-in quality assurance
• Detects duplicates in documents
• Flags missing fields in documents
• Enrich parsed data with third-party and internal sources
• Apply business rules to flag inconsistencies and non-compliant entries
• Pulls operational and financial metrics from documents
• Sends structured outputs to CRM, policy admin system, or database
• SOC2, GDPR, CCA compliant
• Secure encryption for data at rest and in transit
• Multifactor Authentication and Single Sign On (SSO)
• Continuous vulnerability scanning and external security testing
• Automated rule execution for checks
• Smart Flagging & Detection for rule violations
• Custom enrichment capabilities
• Automated categorization of bank transactions
• Identification of critical business details
• Generation of cash-based financial statements
• Debt summaries

Use cases

• Automating underwriting for insurance
• Automating underwriting for small business lenders
• Automating underwriting for specialty finance companies
• Automating broker desk operations
• Cutting offer processing time
• Automating inspection report workflows
• Streamlining document intake
• Extracting data from financial documents, business forms, and compliance paperwork
• Processing P&L statements, balance sheets, and cash flow reports for underwriting and analysis
• Parsing tax returns, reports, and compliance documents
• Validating personal information from IDs, licenses, passports for compliance
• Extracting policy details, limits, endorsements, and declarations from insurance policies and dec pages
• Parsing multi-year loss history to surface claims data, reserves, and patterns
• Verifying business registration status and retrieving corporate filings
• Monitoring business websites and online presence
• Enriching data with credit scores, payment histories, and financial risk indicators
• Standardizing and verifying addresses, adding geocoding data, and appending demographic insights
• Classifying businesses with official industry codes (NAICS)
• Flagging businesses showing signs of instability (cash flow declines)
• Screening out submissions outside risk appetite (out of appetite submission)
• Detecting missing required or optional data points
• Screening out submissions from unsupported states or industries (restricted state & industry)
• Automating submission intake and underwriting at scale
• Accelerating credit review time
• Optimizing ISO operations
• Reducing manual data entry for loan origination
• Automating pre-quals and declines via Salesforce
• Automating document processing for equipment financing

AI approach

Heron Data uses AI and LLMs to automate document-heavy workflows, particularly for underwriting in insurance and specialty finance. They leverage machine learning for tasks like document classification, data extraction, enrichment (e.g., bank transaction categorization), and validation. They explicitly state they were one of the first companies to use LLMs to categorize bank transactions.

Tech named: AI, LLMs, Machine Learning, OCR

Industries served

• Insurance
• SMB Finance
• Specialty Finance
• Fintech
• Professional Services
• Equipment Financing

What it says sets it apart

• Uses latest advances in AI and LLMs
• Eliminates cumbersome manual processes
• Enables greater speed, precision, and fairness in services
• Ingests, extracts, enriches, and summarizes data from tens of thousands of documents a day
• Processes over 20 million individual bank transactions
• Ready-made for specific business processes, not a generic solution
• State of the art ML with automated feedback
• No engineers needed for implementation
• Scales output without added cost or complexity
• Independent and not affiliated with competitors
• Enterprise-grade software
• Robust, parsing over 100,000 documents every day
• Trusted by over 130 financial and professional services firms
• One of the first companies to use LLMs in live business processes for bank transaction categorization
• Experts at bringing state-of-the-art AI and machine learning software to messy and complex places
• Meets customers where they are and gets AI working with them and for them
• Focuses on freeing individuals and teams from tedious white-collar work
• Automated extraction with human-level accuracy and built-in quality controls
• Handles any document format from handwritten to scanned
• Built-in quality assurance at every level
• Custom enrichment for specific business needs
• Ensures data quality and consistency
• Transforms data into decisions instantly
• Configurable to specific business rules for validation

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.