SeedlingLabs, an AI-native Product Development as a Service (PDaaS) company built for enterprise-grade execution, has announced the appointment of Dr. Sudhir Kumar Patnaik as the inaugural member of its Advisory Board. This move comes at a crucial stage in SeedlingLabs’ growth journey as it expands its AI-native platform, global talent model, and production delivery capabilities.
As enterprises increasingly realize that moving AI from prototype to production is far more challenging than building demos, SeedlingLabs is positioning itself to solve the execution gap. While AI tools have simplified experimentation, companies still struggle to operationalize AI reliably, securely, and at scale. SeedlingLabs was founded specifically to address these challenges by combining a robust AI-native delivery platform with experienced engineering talent, designed for real-world production rather than rapid prototyping.
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“AI does not fail because models don’t work – it fails because systems don’t scale,” said Shanti Kuropati, Founder & CEO of SeedlingLabs. “SeedlingLabs exists to solve the hard, unglamorous problems of AI-native product development: production reliability, enterprise security, and operational resilience. Dr. Sudhir has spent his career building exactly these kinds of systems at scale, and his guidance is invaluable as we grow.”
Dr. Sudhir brings more than 28 years of global leadership experience spanning software engineering, enterprise platforms, global capability centers, and academia. He is currently a Professor and the Centre Director for Corporate & Industry Relations (CIR) at Amrita Vishwa Vidyapeetham in Bengaluru. In this role, he works closely with industry leaders to help shape future-ready engineering talent and to drive applied research that meets real-world enterprise needs.
Before joining academia, Dr. Sudhir held senior technology leadership roles at top global companies. He most recently served as Vice President, Business Technology for international insurance at Prudential Financial Inc., USA, where he led enterprise-scale technology initiatives across APAC and LATAM markets. Prior to that, he played a key role at Intuit, scaling its India Global Capability Center from 30 engineers to over 1,200 and leading platform engineering across India and Israel.
Earlier in his career, he held leadership roles at Dassault Systèmes (formerly Accelrys) and Misys Healthcare, contributing to the design and scaling of mission-critical enterprise solutions in life sciences and healthcare.
Dr. Sudhir is also a strong advocate for software engineering excellence and AI-driven systems. He has published in reputed journals and conferences, holds a PhD in Computer Science with specialization in AI, and has served on academic advisory boards at leading engineering institutions in India.
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As an Advisory Board member, Dr. Sudhir will guide SeedlingLabs across three strategic priorities:
- Enterprise-Grade AI-Native Platforms – Designing resilient, secure systems that scale from MVP to production.
- AI-Native Talent & Capability Building – Enhancing SeedlingLabs’ combined platform-and-talent model through its “Nursery to Naukri” initiative, designed to help learners develop AI-ready skills and move smoothly into meaningful careers.
- Industry-Academia Collaboration – Strengthening partnerships to future-proof AI engineering education and applied research.
“Dr. Sudhir’s arrival is a significant catalyst for our mission to democratize high-end engineering opportunities,” said Suribabu Nekkanti, Co-Founder of SeedlingLabs. “His unparalleled experience in scaling Global Capability Centers aligns perfectly with our ‘Nursery to Naukri’ vision. As we prepare to onboard our first 100 engineers in Gangavathi, Dr. Sudhir’s mentorship will be instrumental in transforming regional talent into world-class AI practitioners who can deliver enterprise-grade excellence from day one.”
“What stood out to me about SeedlingLabs is its vision and discipline,” said Dr. Sudhir Kumar Patnaik. “This is not a company chasing AI hype. It is focused on building the foundations – platforms, processes, and people – required to run AI systems reliably in production. That clarity of intent is rare, especially at an early stage, and I’m excited to contribute to its journey.”
“As we scale, our priority is not just speed, but durability,” added Kuropati. “Dr. Sudhir helps ensure that everything we build – technology, talent, and culture – is designed to last.”
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