Luminai Secures $38 Mn, Announces Partnership with Cleveland Clinic

The newly secured funding is expected to advance its vision of expanding its product capabilities, growing its engineering and deployment workforce, and supporting its current customer base.

San Francisco-based AI-automation startup, Luminai, has raised $38 million in series B funding to advance AI-based workflow automation in healthcare.

The funding round was led by Peak XV Partners with participation from new investor Define Ventures and existing investors General Catalyst and Y Combinator. bringing its total funding to $60 million.

The newly secured funding is expected to advance its vision of expanding its product capabilities, growing its engineering and deployment workforce, and supporting its current customer base.

This company’s AI platform is designed to process fragmented and unstructured data, interpret operational context, and automate end-to-end workflows across functions such as patient access, revenue cycle management, compliance, and referrals.

The solution seeks to replace fragmented, manual healthcare administrative workflows with an easy-to-manage AI system enabling providers to streamline processes without major infrastructure change.

In a parallel development, the AI automation company has also entered into a partnership with the Cleveland Clinic to scale the adoption of AI-driven automation in healthcare operations.

As part of the collaboration, Cleveland Clinic will deploy Luminai’s AI platform to optimise operational workflows across its network.

The partnership aims to reduce administrative burden, improve efficiency, and allow healthcare professionals to focus more on patient care.

Commenting on the new funding, Kesava Kirupa Dinakaran, Founder and CEO, Luminai, said, “Healthcare’s administrative functions operate as a massive, manual coordination layer. Recent advances in AI have made it possible to handle that complexity directly and execute full workflows reliably. Luminai is building an AI-native platform designed for the realities of large health systems, one that learns from operational context and improves as conditions evolve. This round enables us to scale that foundation to meet the growing demand of our health system partners.”

As per reports, the platform has already enabled more than 12 million automations, with an average time-to-value of just 48 days.

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