# True Aim > Neuro\-symbolic AI for auditable claims decisions in insurance ## At a glance | Field | Value | | --- | --- | | Category | Claims Technology | | Type | Solutions Provider | | Region | EMEA | | Headquarters | Switzerland | | Stage | Growth | | Employees | 11-50 | | Funding | Bootstrapped | ## Overview True Aim is a claims automation solutions provider for European insurers, brokers, and third-party administrators. The company combines neuro-symbolic AI with deterministic policy logic to produce automated claim decisions that are reproducible, traceable, and aligned with EU AI Act transparency requirements. The platform includes four integrated components: a real-time decisioning engine that converts policy terms into automated claim determinations, a document ingestion and classification pipeline, a portfolio-wide quality assurance tool, and per-claim audit documentation linking every decision to policy clauses and extracted claim data. The system is hosted in Switzerland with multi-language support for German, French, and Italian. True Aim received non-dilutive innovation funding from Innosuisse (the Swiss government innovation agency) and strategic investment from Yarowa AG, a Swiss claims services company. The company won the 2026 Insurathon competition and holds recognition from Swiss, German, and Italian insurtech award programs. Production deployments are with European P&C carriers, though specific customer names are not publicly disclosed. ## Products & services ### MIRA \-\- Claims Decisioning Engine Applies deterministic logic to policy terms to automate claim coverage determinations. Each decision is directly linked to policy clauses and claim data, producing a reproducible outcome. Average processing time is approximately 2.3 seconds per claim in pilot results. **Key features:** - Deterministic, rule\-based policy logic \(not probabilistic generative AI\) - Full decision traceability to policy clause and document source - Average 2\-3 second processing time \(15\-45 second range\) *Target users:* Claims teams at P&C carriers and TPAs ### ContextBuilder \-\- Document Ingestion Pipeline Automates the capture, classification, and structuring of claim documents before decisioning. Supports both structured and unstructured document types with AI-assisted extraction and human review checkpoints. **Key features:** - AI\-assisted document extraction \(\~10 second ingestion time\) - Classification and structuring of claim document sets - Human\-in\-the\-loop review workflow integration *Target users:* Claims operations and document processing teams ### ClaimEval \-\- Quality Assurance Tool Analyzes decision patterns across the full claims portfolio to identify inconsistencies, deviations, and logic gaps. Scales quality assurance beyond manual sampling to portfolio-wide coverage. **Key features:** - Portfolio\-wide decision pattern inspection - Detection of process deviations and logic gaps - Continuous improvement feedback loop *Target users:* Claims quality assurance and operations managers ### Decision Dossier \-\- Audit Documentation Generates a complete traceability record for each claim decision. The dossier is replayable and structured for regulatory review, including EU AI Act compliance requirements. **Key features:** - Replayable per\-claim audit record - Links decision to policy clause, extracted data, and applied logic - Aligned with EU AI Act transparency mandates *Target users:* Compliance teams, auditors, claims managers ## Category & focus - Subcategories: Claims Automation, AI Decisioning, Audit Documentation - Insurance verticals: P&C Personal, P&C Commercial - Target customers: Carriers, Brokers, TPAs ## Notable customers - European P&C carriers \(names not publicly disclosed\) ## Links - Website: - Directory profile: - Case studies: - Company/about: - Ai transparency: --- *Last updated: 2026\-07\-13*