SemantIQ provides a conversational AI platform that lets healthcare organizations query and analyze their data in minutes instead of weeks. Its purpose-built agents automate workflows such as segmentation, health equity analysis, payer network adequacy, and provider intelligence, delivering explainable results with full data lineage and compliance for regulated environments. The interface is customizable, enabling teams to create and activate audiences or perform territory planning while maintaining transparent, governed insights.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations must manually integrate and analyze large volumes of claims data, a process that is time‑consuming, error‑prone, and often lacks transparency and governance, making it difficult to derive timely, consistent insights for decisions such as segmentation, health‑equity analysis, and network adequacy.
Solution
SemantIQ offers a conversational AI platform that lets users query and manipulate healthcare claims data through natural‑language prompts. The system ingests data from diverse sources, maps it to a unified semantic model, and executes purpose‑built, agentic workflows that deliver results in minutes. Each analysis is fully auditable, with explainable outcomes, data lineage, and built‑in compliance for regulated environments. The platform’s context engine understands medical codes and business rules, enabling multi‑step analyses without manual data engineering. Insights are stored as reusable knowledge, creating a growing intelligence layer that supports repeatable, data‑driven decisions across the organization.
Target Audience
Primary users are data analysts, market access teams, and strategic decision‑makers within health plans, providers, life‑science companies, and health‑focused foundations who need rapid, trustworthy insights from claims data.
Features
- Conversational interface that translates natural‑language questions into precise, multi‑step claims analyses
- Semantic layer that standardizes and unifies raw claims data into a healthcare‑native model
- Pre‑built agentic workflows for segmentation, health‑equity, payer network adequacy, provider intelligence, and audience activation
- Full data provenance, explainability, and audit trails to ensure transparency and regulatory compliance
- Customizable workflow builder allowing users to tailor prompts and logic to specific use cases
- Integration with existing data sources, including licensed, private, cloud, and clean‑room environments
- Governance framework that enforces consistent definitions, logic, and access controls across teams