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INDICO DATA

Agentic AI platform for insurance document intake, processing, and workflow orchestration

Document Management Growth Series C+
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Overview

INDICO DATA is an AI platform company that provides an Agentic Decisioning Platform purpose-built for the insurance industry. Founded in 2015, the company develops agentic AI solutions that transform how insurance carriers handle unstructured document intake and workflow orchestration, converting fragmented, messy data into downstream-ready information that teams can immediately act upon.

With over USD 55 million in total funding and strategic investment from Guidewire and Aviva Ventures, Indico Data serves top global insurance carriers and supports over USD 50 billion in gross written premium across its customer base. In June 2025, the company launched the industry's first Agentic Decisioning Platform, achieving 80% reduction in manual processing time and a 4x increase in submission handling capacity for enterprise customers.

The company is backed by leading venture investors including .406 Ventures, Osage Venture Partners, Jump Capital, and Sandbox Industries, as well as strategic investors Guidewire, Aviva Ventures, Nationwide, and Hyperplane.

Products & Services

Underwriting Intake

Processes insurance submission packets into complete, validated work for underwriters. Extracts key data from applications, supporting documents, and attachments using multimodal AI to enrich and validate information before handoff to underwriting systems.

Key Features

  • Multimodal extraction from submissions, supporting docs, and attachments
  • Data enrichment and validation against carrier rules
  • Integration with underwriting workbench and core systems

Target Users: Underwriters, underwriting ops teams at commercial and specialty carriers

Claims / FNOL Processing

Converts first notice of loss documents into validated claims work. Processes loss notices with ~30 seconds turnaround for statements of value (SOV) and loss run retrieval.

Key Features

  • Automated FNOL intake from emails and attachments
  • SOV and loss run extraction (~30-second turnaround)
  • Validation and routing into claims management systems

Target Users: Claims handlers and FNOL teams at carriers

Policy Servicing and Mid-Term Adjustments

Routes and orchestrates servicing requests from emails and attachments, automating mid-term policy adjustments and endorsements.

Key Features

  • Email and attachment classification and extraction
  • Mid-term endorsement and adjustment automation
  • Routing to policy admin and service teams

Target Users: Policy servicing teams and operations staff

Broker Reconciliation

Structures remittance packages and documents for faster cash application and broker reconciliation workflows.

Key Features

  • Remittance package parsing and structuring
  • Automated cash application preparation
  • Broker statement reconciliation

Target Users: Finance and accounting teams at carriers

Agentic Decisioning Platform

Core platform launched June 2025 that uses generative AI and GPT-powered solutions (via Microsoft Azure OpenAI) to enable intelligent decisioning, workflow orchestration, and document-to-action automation across insurance operations.

Key Features

  • Agentic AI decisioning across insurance workflows
  • Multimodal LLM-powered document understanding
  • 80% reduction in manual processing time
  • 4x increase in submission handling capacity

Target Users: Insurance carriers and specialty insurers

At a Glance

Founded
2015
Headquarters
Boston, MA, USA
Employees
51-200
Funding
Series C+

Category & Focus

Category
Document Management
Subcategories
AI Document Processing Workflow Orchestration Intelligent Document Ingestion Agentic AI
Insurance Verticals
P&C Commercial Specialty/E&S Reinsurance
Target Customers
Carriers, Reinsurers, MGAs/MGUs

Customers

  • Allstate
  • Aspen
  • Aviva
  • Berkshire Hathaway Specialty Insurance (BHSI)
  • Convex Insurance
  • Everest
  • Markel
  • XL Insurance
  • Multiple top-10 global commercial and specialty carriers

Last updated: 2026-04-08