About VibeModel

We believe production AI shouldn't be built on guesswork. VibeModel discovers what breaks before your users do — automatically composing the right architecture for every scenario your agent will face.

Our Mission

75% of AI development cost is spent on long-tail experimentation — discovering edge cases, testing architectures, and iterating through failure loops. We're building the platform that eliminates that guesswork. VibeModel maps every pattern your AI will encounter, composes the architecture to handle it, and validates it before you ship. From prototype to production in days, not months.

The Founding Team

Rengasami Ramanujam

Co-Founder & CEO

Ex-Google Staff AI Engineer. Ex-Amazon. Pioneered Graph Neural Networks, LLM fine-tuning, explainability, and LLM Ops. Built ML Ops preventing production failures. Shipped Kindle recommendations at billion-prediction scale.

Balagei G. Nagarajan

Co-Founder & COO

Amazon TPM (10+ yrs): 30+ features, 22+ Kindle releases. Swiggy Principal TPM: automated 127 enterprise deployments. Masters production AI orchestration.

What Makes Us Different

Pattern-first, not model-first — We discover what your AI needs to handle before composing how to handle it.

Composed, not templated — Every architecture is derived from 216+ patterns and 24 meta-patterns — unique to your use case.

Full-stack coverage — 7 layers from data understanding through drift detection. No other platform covers the entire stack.

Zero data exposure — Your data never leaves your infrastructure. On-premise deployment from day one.

We're onboarding our first design partners. Want to shape the product with us?

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