Boston-based startup LogicFlo AI has raised $2.7 million in seed funding led by Lightspeed Venture Partners, with participation from leading investors in healthcare and enterprise AI. The funding will support LogicFlo’s global expansion across pharma, biotech, and medtech, where the company is already working with a Fortune 500 client. By leveraging intelligent agents tailored for regulated scientific environments, LogicFlo AI is transforming how life sciences organizations work—dramatically shortening project timelines without compromising on quality or compliance.
Founded by Udith V. and Arun Ramakrishnan, LogicFlo AI is addressing a longstanding challenge in life sciences: the limitations of traditional automation. “Traditional automation has failed life sciences because it’s too rigid, too brittle, and too out of touch with how people actually work,” said co-founder and CTO Arun Ramakrishnan. “LogicFlo AI agents are intelligent, composable, production-ready, and they understand the nuance of scientific work.”
The company’s platform is already deployed at major global life sciences firms, where it has demonstrated significant impact. For example, LogicFlo has reduced medical writing timelines from weeks to minutes and cut medical information response times from nearly two weeks to just two days. These improvements have been particularly valuable for medical affairs and commercial teams, which are often constrained by tight deadlines and regulatory complexity.
“LogicFlo’s agentic workflows dramatically boost productivity for medical affairs and commercial teams,” said Rohil Bagga, VP of investments at Lightspeed. The platform is designed to be modular and integration-ready, with upcoming enhancements aimed at seamless interoperability with widely-used tools like Veeva and IQVIA.
With increasing demand from regulated industries, LogicFlo AI is positioning itself as a foundational infrastructure provider for enterprise AI in life sciences. Its mission is to equip experts with AI tools that match the pace and precision of modern science, enabling them to focus on high-value tasks while intelligent agents handle the complexity of compliance-driven workflows.
