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amaise

AI-powered claims management for medical and bodily injury cases

Claims Technology Growth Seed
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Overview

amaise is a claims technology platform for P&C insurers, third-party administrators, and healthcare organizations processing medical and bodily injury claims. The company was founded in Bern, Switzerland in 2019 by Achim Kohli and Markus Baumgartner to address inefficiencies in medical claims handling across the DACH region and beyond.

The platform uses an agentic AI framework built on Azure OpenAI Service to ingest unstructured medical documents -- including doctor reports, lab findings, and administrative records -- and convert them into structured case summaries. These summaries, referred to internally as "case DNA," help claims specialists make faster and more consistent decisions. The modular product suite includes components for claims intake, medical document analysis, decision assistance, and team collaboration, with an SDK available for custom integrations.

amaise serves P&C insurers, TPAs, independent medical evaluators, and law firms. Notable customers include Baloise, a major Swiss insurer. The company is a member of the Microsoft for Startups Founders Hub and has received support from Innosuisse, the Swiss federal innovation agency. As of early 2025, amaise had launched commercially in the DACH region and initiated a pilot phase in the United States.

Products & Services

amaise agenticAI Platform

Foundation platform powered by an LLM agent framework with knowledge graphs. Deploys 18+ specialized AI agents to process medical documents and support claims workflows.

Key Features

  • Automated extraction and classification of unstructured medical records
  • Structured case DNA summaries for claims specialist review
  • Multi-language support across DACH region and English-language markets

Target Users: Claims specialists at P&C insurers and TPAs

amaise MedInsights

Medical document analysis module that identifies relevant clinical findings, diagnoses, and treatment records from submitted documentation.

Key Features

  • Document classification and evidence extraction
  • Integration with core claims systems via API
  • Supports bodily injury, workers' compensation, and medical malpractice workflows

Target Users: Claims adjusters, independent medical evaluators

amaise CasePilot

Decision assistance module that surfaces AI-driven recommendations based on extracted case data to guide claims resolution.

Key Features

  • Structured case summaries with supporting evidence
  • Recommendation engine for claims outcomes
  • Audit trail for regulatory compliance

Target Users: Claims managers, senior adjusters

amaise Collaboration

Team collaboration tools enabling claims specialists, reviewers, and external parties to coordinate on complex cases within the platform.

Key Features

  • Shared case workspace for internal and external reviewers
  • Automated large loss notices (LLN) generation
  • Role-based access controls

Target Users: Claims teams, legal reviewers, external IMEs

amaise SDK

Programmatic access layer enabling insurers and TPAs to integrate amaise capabilities into existing claims management systems.

Key Features

  • REST API access to core platform functions
  • Custom workflow configuration
  • Enterprise integration support

Target Users: IT and integration teams at insurers and TPAs

At a Glance

Founded
2019
Headquarters
Bern, Switzerland
Employees
11-50
Funding
Seed

Category & Focus

Category
Claims Technology
Subcategories
Claims automation medical document analysis AI decision support
Insurance Verticals
P&C Commercial Health Workers Compensation Specialty/E&S
Target Customers
Carriers, TPAs, MGAs/MGUs

Customers

  • Baloise (P&C insurer, Switzerland)

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Last updated: 2026-06-03