Stream provides purpose‑built generative AI that ingests every document and data point in a property‑and‑casualty claim, structuring them into a single searchable view and linking each fact to its source for full auditability. The platform cross‑references the complete claim record to surface inconsistencies, flag risk indicators, and generate one‑click settlement analyses, reserve recommendations, and IME packets, which can be delivered via API, batch SFTP, or a zero‑integration standalone mode. By automating end‑to‑end document processing and analytics, Stream helps insurers reduce claim leakage and accelerate expert decision‑making.
Funding
$6.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
JCMR+2Founders
Product
Problem
Property and casualty insurers lose an estimated $250 billion annually due to claim leakage—information that is missed, mis‑linked, or not fully analyzed across disparate documents such as medical records, demand packages, correspondence, and bills.
Solution
Stream applies purpose‑built generative AI to ingest every document and data point in a claim, automatically structuring them into a single dynamic view. The platform cross‑references the full claim record set to surface inconsistencies, flag risk indicators, and reveal patterns that influence settlement decisions. All extracted facts are traceable to their original source, providing full auditability and eliminating hallucinations. With one click, adjusters receive settlement analyses, reserve recommendations, and independent medical examination (IME) packets that can be delivered into existing core systems via API, batch SFTP, or a zero‑integration standalone mode. This AI‑driven workflow reduces overall claim exposure and accelerates expert decision‑making while keeping adjusters in control.
Target Audience
Primary customers are property and casualty insurers and their claims adjustment teams that need to reduce leakage, improve auditability, and accelerate settlement decisions.
Features
- End‑to‑end document ingestion that transforms unstructured medical records, bills, and correspondence into a structured, searchable claim model
- Cross‑claim analytics that automatically detect inconsistencies, risk signals, and loss‑leakage patterns across the entire claim file
- Source‑linked data verification ensuring every fact is auditable and traceable, preventing AI hallucinations
- One‑click generation of settlement analysis, reserve recommendations, and IME packets tailored to each claim
- Seamless integration options: instant standalone deployment, API connectivity, or batch SFTP to existing core insurance systems
- AI agents trained on expertise from top adjusters, special‑investigation units (SIU), and AI researchers to emulate sophisticated claim reasoning
- High adjuster adoption rate (7%) and processing of over 10 million claim documents, demonstrating scalability