Settwiz

AI-powered insurance claims decision platform that helps carriers and TPAs evaluate, reserve, and settle claims faster and more consistently.

Claims Technology Growth Bootstrapped

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Overview

Settwiz is an AI-powered claims decision platform built for insurance carriers and third-party administrators. The platform integrates into the claims workflow to help adjusters make faster, more consistent decisions across complex bodily injury, auto damage, and property claims by automatically structuring claim facts, analyzing issues, calculating exposure ranges, and recommending next steps.

Unlike standalone document review or workflow automation tools, Settwiz provides claim decision intelligence—reading claim files, identifying conflicts and gaps, surfacing damages and coverage issues, and generating defensible reserve and settlement recommendations. All outputs remain evidence-linked and audit-ready, with the final decision always controlled by the human adjuster.

The company operates from primary offices in Tel Aviv and a U.S. base in Chicago, serving carriers and TPAs across multiple jurisdictions and lines of business. It maintains SOC 2 Type II and HIPAA compliance, with claim data kept client-side and never used for shared model training.

Products & Services

Settwiz Platform

An end-to-end claims decision layer that reads claim documents, structures facts, analyzes issues, calculates exposure, and prepares recommended actions—all in one evidence-linked workspace. The platform operates as a decision-support tool, not a claims system replacement.

Key Features

Document ingestion and structuring - Classifies records, extracts facts, builds timelines, creates structured summaries
Multi-dimensional claim analysis - Specialized AI agents analyze medical records, legal issues, liability, coverage, and damages in parallel
Exposure calculation - Generates settlement ranges based on claim facts, jurisdiction, comparable outcomes, and damages
Recommended next steps - AI team prepares next actions with supporting materials for adjuster review
Evidence-linked outputs - All recommendations linked to source documents and audit-ready
Human-in-the-loop - Adjuster approves, edits, or rejects recommendations; AI supports but never overrides
Bodily Injury claims
Auto Damage claims
Residential Property claims
Commercial Property claims