We’re building what we believe is the next abstraction layer for enterprise AI.

Not another model.  
Not another wrapper.  
Not another AI application.

Our thesis is simple:

As foundation models become commodities, the real challenge shifts to operating AI reliably at enterprise scale—across models, clouds, hardware and workloads. We’re building the runtime that makes enterprise AI self-optimising.

We’re looking for one technical co-founder.

Someone who has gone deep into LLM systems, inference, distributed systems, compilers, ML infrastructure or performance engineering—and wants to build a category-defining company from India.

The founding team already covers product, enterprise execution and venture building:  
•⁠  ⁠Product Counsel for the world’s largest startup incubator: $130M+ in Fortune 500 deal flow. Building India’s largest intent-to-action native model for hyper-local clustering.   
•⁠  ⁠Youngest lead at $40M semicon enterprise; deep global networks across Silicon Valley, Europe & Singapore in Edge Al.  
•⁠  ⁠A Serial Founder: Building a $5M fintech (post-pre-seed) + portfolio of high-growth ventures.

We’re not looking for résumés.

Send your GitHub, research, OSS contributions, papers, benchmarks, or something you’ve built that made you proud.

If you’ve been waiting for a genuinely hard problem to spend the next decade on, let’s talk.

Hyderabad this weekend. DM me.

AI Models Are Becoming Commodities. We’re Building What Comes Next.