Phaneender Aedla
Founder & CEO at Nu10; Co-Founder & Chief AI Officer at Rushd Solutions
About
I'm Phaneender Aedla, the Founder and CEO of Nu10 and Co-Founder of Rushd Solutions. My career has been a journey from deep-tech engineering at IIT Delhi to leading global teams of over 250 professionals in the AI and data analytics space. I specialize in building AI-Native enterprise systems and Process Intelligence Engines (PIEs), bridging the gap between complex research—like Game Theory and Behavioral Economics—and real-world business ROI. I am passionate about the 'Agentic Web' and the transition toward autonomous workflows. Whether it's helping a bank deploy stalled models in weeks or navigating the systemic risks of climate change, I focus on aligning incentives to ensure technology adoption succeeds. I'm here to connect with leaders looking to move beyond 'AI-First' to becoming truly 'AI-Native' through strategic, forward-deployed engineering.
Networking
What I can offer
- ›Bridging deep-tech research with practical enterprise ROI
- ›Forward-deployed engineering teams
- ›AI maturity frameworks and governance
- ›Expertise in catastrophe risk and geospatial analytics
Looking for
- ›Partnering with enterprises to transition from AI-First to AI-Native
- ›Engagement with C-suite executives and data/risk leaders
- ›Collaboration with academic institutions like BITS Pilani and IIM
Best fit for
Current Interests
Background
Career
Began as a technology consultant at Oracle and MindTree, moved into leadership roles at Aon and Wipro, co-founded EigenRisk, and currently leads Nu10 and Rushd Solutions.
Education
Doctorate in Business Administration, SP Jain School of Global Management (2025); MBA (PGPEM), IIM Bangalore (2009); B.Tech in Computer Science and Engineering, IIT Delhi (2000).
Achievements
- ›Leads a global team of over 250 professionals at Nu10
- ›Moved a retail bank’s lending model to production in 8 weeks after a 9-month stall
- ›Published peer-reviewed research in AI, GIS, and smart-grid systems
- ›Founding team member of startups with successful exits
Opinions
- Digital transformations fail due to misaligned incentives rather than human resistance; fix the incentives, and the game changes.
- AI is a positive-sum game where shared data and ecosystems create the most value, not a winner-takes-all scenario.
- Winning in tech is about being 'on time'—balancing the risk of early investment against late disruption.
- How AI is positioned (support vs. replacement) is the primary driver of adoption momentum.