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§ Private Profile · Olney, MD, USA
HiLabs is a technology company.
HiLabs provides enterprise AI healthcare data management software, leveraging AI and machine learning to address fragmented data. Its platforms clean, standardize, and enrich provider information, enhancing data accuracy and operational efficiency. This technology helps organizations transform disparate data into reliable intelligence, crucial for improving systemic healthcare processes.
Co-founders Amit Garg and Neel Butala established HiLabs, driven by the insight that "dirty data" critically impeded the complex healthcare industry. Their vision was to revolutionize operations and patient outcomes using transformative technology. Amit, an engineer, serves as CEO; Neel, a physician-scientist, contributes medical and technological expertise as CMO.
HiLabs primarily supports healthcare payers, empowering them to make informed decisions, streamline operations, and improve patient access. The company’s mission is to transform the healthcare sector by ensuring clean, trustworthy data through AI, unlocking its full potential for positive system-wide impacts.
HiLabs has raised $39.0M across 1 funding round.
HiLabs has raised $39.0M in total across 1 funding round.
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 | Status |
|---|---|---|---|---|
| Mar 1, 2024 | $39M Series B | Jesse Lane, Prem Pavoor | Alkemi Growth Capital, F Prime Capital, Carl Byers, Carl Bradford Byers 🚑 | Announced |
HiLabs has raised $39.0M in total across 1 funding round.
HiLabs's investors include Jesse Lane, Prem Pavoor, Alkemi Growth Capital, F-Prime Capital Partners, Carl Byers, Carl Bradford Byers 🚑.
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]