Health Cost IQ

Health Cost IQ is a healthcare cost management platform founded in 2018 that provides automated claims analytics and predictive modeling for brokers, consultants, PEOs, and self-funded employers. The company was founded by Jude Odu following doctoral research into waste and inefficiencies in employer-sponsored health plans.

The platform combines AI-powered analytics with partnerships from Mark Cuban Cost Plus Drugs and Johns Hopkins ACG technology to deliver medical claims analysis, pharmacy auditing, risk profiling, and payment integrity services. Health Cost IQ's Fathom AI solution uses healthcare-specific training data to predict future healthcare costs up to 12 months in advance with what the company describes as near-zero hallucination rates.

The company serves Fortune 500 companies through broker and PEO partnerships, with documented client outcomes including $2.5M in identified medical claims overpayment for a PEO and $1.5M in saved stop-loss coverage for an education consortium. Health Cost IQ reports typical client cost reductions of 20-30% in the first year.

Organizations should consider Health Cost IQ when they need to move beyond descriptive claims reporting to predictive cost management. The platform's AI-powered forecasting and automated recommendations are particularly valuable for brokers positioning themselves as strategic consultants rather than transactional intermediaries, and for PEOs needing rapid risk assessment capabilities.

Expect a consultative engagement model with hands-on implementation support. The platform delivers actionable insights through automated algorithms that identify waste, fraud, and inefficiencies in medical and pharmacy claims, with a focus on preventing future cost issues rather than simply documenting historical spending.

Health Cost IQ operates exclusively in the healthcare sector, specifically serving the U.S. employer-sponsored and self-funded health plan market. The platform addresses healthcare-specific challenges including medical and pharmacy claims overpayments, formulary optimization, population health management, pharmaceutical compliance, and pharmacogenomic insights.

The company leverages Johns Hopkins ACG grouping technology for clinical risk profiling and partners with Mark Cuban Cost Plus Drugs for pharmaceutical pricing intelligence. Founder Jude Odu's 25+ years in healthcare data analytics and research into trillion-dollar waste in employer health plans informs the platform's healthcare-centric approach to payment integrity and predictive cost modeling.

The ideal client is a benefits broker, PEO, or self-funded employer with complex healthcare claims data seeking predictive analytics rather than retrospective reporting. Organizations managing multiple employer groups, requiring rapid risk assessment for underwriting decisions, or looking to achieve documented cost reductions of 20-30% through data-driven interventions will find the platform most valuable. Clients should have sufficient claims volume to justify enterprise-level analytics engagement.