Founders’ Adda
Date: February 20, 2026
Time: 4:30PM – 5:25PM
Venue: MR-14, Bharat Mandapam, Pragati Maidan, New Delhi
Hosted by: Archana Jahagirdar
Session format: 5-minute founder insight + 3-minute Q&A with rapid transitions
Register NowThe most profound breakthroughs are not found in rehearsed keynote speeches but in candid exchanges of ideas between creators.
With this belief, we are bringing Founders’ Adda, an exclusive closed-door session hosted at the India AI Impact Summit 2026, focused on applied AI and real-world deployment.
Rather than broad panels, the session brings together founders and ecosystem stakeholders to exchange practical insights on product, scale, talent, and the realities of building production-grade AI systems.
No polished narratives.
Just real operating experience, shared openly among builders.
Agenda
4:30 – 4:33PM
Opening Remarks by Archana JahagirdarFounder & Managing Partner
Rukam Capital
Setting the context
AI shifting from experimentation to real-world deployment
Why this room matters
Founders building applied, sector-driven AI with production intent
Featuring
4:33 – 4:41PM
Ravinder KumarFounder & CEO
Tecnod8 Artificial Intelligence
Industrial AI copilots; multimodal models for manufacturing productivity and decision support
4:41 – 4:49PM
Vaibhav Vats ShuklaFounder & CEO
Quansys Artificial Intelligence
Autonomous multilingual voice AI; contact-centre automation; enterprise workflow efficiency
4:49 – 4:57 PM
Pradyum GuptaFounder & CEO
Papli Labs Private Limited
Edge AI computer vision; real-time video analytics; mobility and smart-infrastructure use cases
4:57 – 5:05 PM
Meenal GuptaFounder & CEO
Easiofy Solutions
AI-powered clinical intelligence platform; accelerates cancer diagnosis and treatment planning; medical imaging analysis and decision support
5:05 – 5:13 PM
Vivek GuptaFounder
Indus Labs AI
Personalized and secure conversational AI; context-aware enterprise interaction and integration
Closing Reflections by Archana Jahagirdar
5:13 – 5:20 PM
Synthesis of key themes around data advantage, domain depth, and the rise of production-grade AI systems
Rapid reflections prompt to founders on the biggest unlock required for AI scale