The science of what’s next.
Trust, built in.
Modernise the software you already run — with agentic AI. Every agent action logged, attributable and auditable, in the cloud or on-prem.
A product, a services portfolio, and one way of building
In the cloud, or on your own servers.
Tested in our lab.
Deployed in your perimeter.
The VVC is our proprietary R&D compute environment — the master blueprint for governed, bare-metal AI deployed identically onto your premises when data privacy is non-negotiable.
Constitutional governance
Multi-LLM orchestration that stays safe and auditable.
Air-gapped option
Run fully offline — no data leaves your walls.
Observable by default
Every agent action traced and explainable.
Portable blueprints
Identical lab-to-prod parity, every deploy.
Numbers we hold ourselves to
EXPERIENCE OF OUR FOUNDER · BP · TOYOTA NORTH AMERICA · STANDARD CHARTERED · EXPERIAN · McDONALD'S · KUBOTA
Field notes from the build
A 35B model at 237 tokens/sec in 13.6GB — here's the stack
Expert pruning, multi-token prediction, and quantised KV cache stacked together get a 35B mixture-of-experts model to 237 tok/s in 13.6GB on a single consumer RTX 5090.
AI tools aren't rivals — they're job descriptions
Running several AI coding tools side by side on real infra work and giving up on ranking them — one thinks, one suggests, one executes. They're roles, not rivals.
I built in private too long and called it discipline
Months of building in private, telling myself one more governance rule needed cleaning up first — until the build log itself became part of the product, not a delay.
I didn't leave the cloud for the bill
Running your own AI infrastructure isn't about the bill — it's the operational knowledge you never build when every failure is absorbed by someone else's abstraction.
I rejected framework-shaped comfort — here's the orchestration I trust at 2am
Why plain-text governance, explicit handoffs and phase gates beat an orchestration framework when infrastructure breaks at 2am and you need to know exactly what happened.
"Supported" is the most misleading word in AI infrastructure
Twenty-four hours trying to run a 31B model on a consumer 32GB GPU through vLLM — every fix applied, still 112MB short. Supported isn't the same as it actually runs.
I wrote storage law before I wrote storage code
Why a private AI cloud needs storage rules before storage code — mountpoints as a contract, closed storage classes, and drift that gets reconciled, not absorbed.
Three AI tools, one infrastructure, no orchestration platform — just plain-text governance
Running Claude, Gemini and Codex against the same infrastructure without an orchestration framework — just a shared, plain-text constitution they read before acting.
कुटुम्बकम्
Tech Kutumbakam — technology is one family.
From Vasudhaiva Kutumbakam, "the world is one family". We build custom agentic AI in India first, then open it to the world. Governance at home, interoperability everywhere — that is the whole of our engineering ethic.
Read our storyReady to move beyond AI pilots?
Architect a system that ships — governed, observable, production-grade.