HiLabs has raised $39.0M in total across 1 funding round.
HiLabs's investors include Alkemi Growth Capital, F-Prime Capital Partners.
HiLabs is a health technology company that builds an AI-powered platform to clean, standardize, and enrich error-ridden healthcare data, transforming it into actionable insights for payers and providers.[1][3][5] It primarily serves the healthcare insurance industry, solving problems like inaccurate provider directories, regulatory compliance risks, and operational inefficiencies that contribute to a $1 trillion data problem, while driving cost savings—such as $80 million annually for one client—and improving patient access and outcomes.[1][5][6] With 313 employees, $42 million in revenue, and a recent $39 million Series B funding round, HiLabs demonstrates strong growth momentum, including KLAS Points of Light recognition in 2025 and mentions in the 2024 Gartner Hype Cycle for US Healthcare Payers.[2][3][4][6]
HiLabs was founded in 2014 by Amit Garg (Yale SOM '14) and Neel Butala (Yale SOM '14, also Chief Medical Officer) in Bethesda, Maryland.[1][3] The idea emerged from recognizing the pervasive errors in healthcare data that hinder timely exchanges between payers and providers, inflating costs and harming outcomes; the duo leveraged AI to address this foundational issue.[3][5] Early traction built through specialized solutions for data optimization, evolving into a scalable platform with proprietary healthcare-specific large language models (LLMs), culminating in partnerships with major health plans and accolades like the 2025 KLAS award for a project cleansing 3 million ghost provider locations.[6]
HiLabs rides the wave of AI-driven healthcare transformation, targeting the exploding demand for clean data amid rising regulatory scrutiny (e.g., CMS audits) and value-based care shifts that penalize inaccuracies in provider networks.[1][4][6] Timing is ideal as healthcare payers face mounting pressures from inconsistent directories—featured in a MedPAC report—and the adoption of LLMs for payers, positioning HiLabs as a leader per Gartner.[4][6] Market forces like escalating data volumes, cost-control mandates, and AI maturation favor its model, influencing the ecosystem by enabling payers to optimize networks, cut administrative burdens, and improve care coordination, ultimately reducing the $1 trillion data drag on the industry.[3][5]
HiLabs is primed to expand its provider data platform with advanced roster automation and broader AI applications, capitalizing on its $39 million funding to scale partnerships and innovate amid AI-healthcare convergence.[3][6] Trends like generative AI proliferation, payer-provider data interoperability mandates, and precision medicine will propel its growth, potentially amplifying influence through deeper ecosystem integrations. As a Yale alumni venture tackling healthcare's data bedrock, HiLabs exemplifies how targeted AI unlocks efficiency, echoing its origins in turning error-ridden chaos into strategic advantage.[3]
HiLabs has raised $39.0M across 1 funding round. Most recently, it raised $39.0M Series B in March 2024.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Mar 1, 2024 | $39.0M Series B | Alkemi Growth Capital, F-Prime Capital Partners |
