Manik Khanna

SemantIQ's mission is to simplify complex claims datasets using AI agents - accelerating speed to insight and time to value from healthcare data. Founded by a team of experts in actuarial science, applied mathematics, machine learning, and signal processing, with a strong track record of building and scaling data infrastructure businesses, SemantIQ is developing an AI-native data stack that empowers healthcare analysts, marketers, and business operators to ask natural language questions of claims data via a conversational AI agent. The agent delivers responses with full transparency, lineage, and explainability, providing users with both control and flexibility. The vision is to unlock the power of claims data for any user, without the bottlenecks of IT, data engineering, or data science dependencies. SemantIQ agents operate on are both the backend (ontology + structured data model) and frontend (conversational interface), deployable across major cloud platforms. We give any organization - whether working with public, private, or licensed claims data - the ability to achieve speed-to-insight with near-zero engineering effort. To train the agents, we are ingesting and structuring a wide range of datasets, including Medicare, Medicaid and Commercial claim blocks from ~100 payers through aggregator partnerships. This foundation allows us to fine-tune the agents across several downstream use cases, including: - HCP sales prospecting and HCP/DTC targeting - Market intelligence and competitive benchmarking - Network adequacy and health equity analysis - Patient cohorting such as HCC, MIPS Enhancements, Risk scoring, and Risk Stratification The emergence of agentic data platforms marks a pivotal shift in how analytics is done - transparent by design, intuitive by interface. SemantIQ is capitalizing on this transformation by enabling natural language access to claims data, unlocking a new category of analytics for healthcare decision-makers and marketers alike.