Overview

Insurants is an AI‑driven intelligent document processing platform designed specifically for the commercial insurance industry. It automates ingestion, classification, extraction and enrichment of data from policies, quotes, binders, endorsements and other complex documents. With over 1,000 domain‑specific algorithms and built‑in generative AI, the solution supports brokers, carriers and MGAs to streamline workflows, improve data quality, integrate with existing systems and scale across lines and geographies.

Features and Capabilities

• Document ingestion and classification: automated intake of unstructured, semi‑structured and structured formats (PDFs, images, emails, Excel, etc) and classification by document type.
• Data extraction and indexing: extraction of key fields (e.g., policy numbers, coverages, endorsements) from large volumes of documents using OCR, NLP and ML.
• Generative AI & abstraction: use of GenAI alongside traditional AI to interpret meaning, compare documents, derive insights and enable abstraction rather than simple template matching.
• Pre‑trained domain algorithms: a library of 1,000+ insurance‑specific algorithms trained on commercial insurance documents such as slips, binders, loss‑runs, endorsements and SOVs.
• Integration & workflow orchestration: seamless integration with underwriting, policy and claims systems, broker workbenches, downstream workflows and existing IT stacks.
• Quality, auditability & performance measurement: monthly accuracy measurement, human‑in‑the‑loop review, confidence scoring, audit trails and performance reports across lines and geographies.
• Scalability across lines & markets: supports many commercial lines (property, casualty, marine, energy, cyber, re‑insurance) across multiple carriers, geographies and languages.
• User interface & exception handling: visual review of extracted data in document context, ability for users to rubber‑band or add entities manually, enabling hybrid human‑AI workflow.
• Rules, enrichment & refinement: business logic, reference data enrichment and continuous tuning of models to improve accuracy and reduce manual rework.
• Risk & compliance support: designed for regulated insurance environments with strong focus on data privacy, regulatory compliance (e.g., GDPR) and explainability of AI outputs.