Healthcare AI startup Suki has raised $90 million in Series E funding to accelerate its AI capabilities and expand its commercial team. The round was led by new investors Healthier Capital, Crosslink Capital, and Hercules Capital, alongside existing backers.
TL;DR
- Suki raises $90M in Series E funding to advance AI agents and scale partnerships
- The company aims to build a connected AI operating system for healthcare, integrating clinical, financial, and operational workflows
- Suki's AI tools saw a 190% year-over-year growth in patient encounters in 2026, with over 250 healthcare organizations and 30 technology partners using its platform
What happened
Suki, a healthcare AI startup, has secured $90 million in Series E funding to advance its AI technology and expand its commercial organization and partner ecosystem. The funding round included new investors Healthier Capital, Crosslink Capital, and Hercules Capital, as well as existing backers Venrock, Flare Capital Partners, Hedosophia, Philips Ventures, and Zoom Ventures.
According to Suki CEO and founder Punit Soni, the company plans to invest the new capital in three areas: advancing its AI technology, expanding its commercial organization, and scaling its partner ecosystem. The goal is to build a connected, intelligent operating system for healthcare that integrates clinical, financial, and operational workflows.
Suki has raised more than $250 million to date. Patient encounters involving its AI tools grew 190% year over year in 2026, and the company now works with more than 250 healthcare organizations and over 30 technology partners that integrate its AI into their platforms.
Why it matters
Suki's approach combines delivering AI directly to clinicians through its own application, Suki for Clinicians, while also powering AI capabilities within the platforms and technologies healthcare organizations already use. This dual approach gives Suki a unique opportunity to scale intelligence across healthcare.
The company aims to build AI agents capable of handling tasks such as referrals, prior authorizations, and follow-up scheduling. This expansion of capabilities aligns with the broader trend in healthcare AI, which is moving beyond documentation to support clinical decisions, improve financial performance, and streamline operations.
However, the challenge lies in integrating these capabilities seamlessly into existing healthcare systems. Suki's vision is to create a future where intelligence connects the entire healthcare experience, but achieving this will require overcoming the complexity of integrating disparate AI tools and systems.
Key facts
- Suki raises $90 million in Series E funding
- New investors include Healthier Capital, Crosslink Capital, and Hercules Capital
- Existing backers include Venrock, Flare Capital Partners, Hedosophia, Philips Ventures, and Zoom Ventures
- Suki has raised more than $250 million to date
- Patient encounters involving Suki's AI tools grew 190% year over year in 2026
- Suki works with more than 250 healthcare organizations and over 30 technology partners
- The company plans to develop AI agents for tasks such as referrals, prior authorizations, and follow-up scheduling
- Suki for Clinicians now allows clinicians to ask complex clinical questions through Wolters Kluwer's UpToDate Expert AI API directly within the app
Context
The healthcare industry is increasingly looking to AI to streamline operations and improve patient outcomes. However, the industry is also grappling with the challenge of integrating disparate AI tools and systems. Suki's vision of a connected, intelligent operating system for healthcare addresses this challenge by bringing AI together across clinical, financial, and operational workflows.
The funding round comes at a time when healthcare AI startups are attracting significant investment. According to a recent report, healthcare AI startups raised over $10 billion in 2026, reflecting the growing interest in AI-driven solutions for the healthcare industry.
Suki's approach of delivering AI directly to clinicians while also powering AI capabilities within existing platforms and technologies gives it a unique position in the healthcare AI landscape. The company's focus on building a connected, intelligent operating system for healthcare sets it apart from other healthcare AI startups that are primarily focused on point solutions.