Seth brings more than 20 years of experience building analytics-driven platforms and AI solutions across healthcare, enterprise software, and global services. He has held senior leadership roles at Kaiser Permanente, Tesla, VMware, Intuit, where he partnered closely with executive teams to translate data and AI investments into real business impact.
At Emids, Seth will help shape how AI is designed and scaled across healthcare environments, with a strong emphasis on grounding AI systems in a healthcare-specific ontology that reflects real workflows, decision logic, and regulatory context. His appointment aligns with Emids’ continued expansion of its Service as a Software model, which combines healthcare domain expertise, forward-deployed context engineers (FDCEs), and AI-enabled platforms to deliver more predictable results. This approach is supported by Emids’ growing portfolio of AI assets, including Pacca AI, its agentic AI platform designed to embed intelligence within core operational workflows.
“In healthcare, the winning AI won’t be the fanciest. It’ll be the most context-aware,” said Abhishek Shankar, Chief Executive Officer, Emids. “Seth knows how to build AI that thrives in real workflows and real regulation. He’ll help us convert AI ambition into outcomes by hardwiring healthcare ontology and Forward Deployed Context Engineers into every deployment.”
In addition to his corporate leadership experience, Seth is a repeat entrepreneur who founded and scaled a data and AI services company to a successful exit. His expertise spans AI platform architecture, analytics modernization, and enterprise adoption, with a strong emphasis on governance and interoperability.
“I’m excited to join Emids at a time when healthcare organizations are looking to move AI from experimentation to real value,” said Seth Kutty, Chief AI Officer at Emids. “Emids’ focus on grounding AI in domain context, and forward-deployed expertise creates a strong foundation for building AI that reflects how healthcare works. I look forward to working with clients and teams to scale AI in ways that are practical, trusted, and sustainable.”

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