About

Infrastructure people, for infrastructure problems.

We build the control layer enterprises need before their AI usage becomes a board-level question. Engineering, not hype.

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Our vision

Turn every AI request
into proprietary equity.

AI models are commodities. Your real edge is your data and your people. We build the sovereign fabric that stops the bleed, turning every AI request into an asset you own and control. The advantage isn't the AI. It's what stays yours.

What we believe

Substance over status.

We went back to first principles instead of stacking another layer on a bloated stack. The result runs faster, cooler and longer, because reliability at scale is an engineering problem, not a marketing one.

→The sovereignty imperative. Reliance on opaque third-party APIs is a liability. The future belongs to organisations that own their logs, their latency budget and where their data goes.

→Radical efficiency. A core engineered in Rust with a zero-copy hot path: a ~25MB engine that does more on less hardware, and doesn't become the bottleneck under load.

→Engineering, not hype. Every number on this site has a methodology behind it. We would rather under-claim and be exact than inflate and be caught.

The team

Founded by people who led at scale.

30+ years of combined software engineering and deep academic research, built at operators like Amazon, GE, Tata, SSE and Reliance Industries, not on slide decks.

Nagu Gopalakrishnan

Co-Founder

B.Tech · MBA, Copenhagen Business School

LinkedIn ↗

Technology entrepreneur and polyglot programmer with 20+ years spanning Amazon (Generative AI, Brand Safety), consulting at Tata Elxsi and GE, and hands-on software architecture with 3 patents. Brings startup agility and enterprise-scale depth to systems that have to work in production.

AI infrastructureML trainingOptimisation & algorithmsEmbedded systems

Dr. Priya Bhagavathy

Co-Founder

PhD Electrical Engineering · Oxford Martin Fellow

LinkedIn ↗

Oxford Martin Fellow and R&D leader with 3 pending patents. Over a decade bridging academia and industry, translating complex research into practical, commercially viable AI, and connecting research institutions, industry and policymakers.

ML trainingOptimisation & algorithmsResearch commercialisationAI in traditional industry

Who we serve

High-stakes AI.

Banking, insurance, healthcare, defence, and the latency- and scale-critical companies building AI into their core product. The places where "where did that prompt go?" is the whole question.

Vidai UK Limited · Glasgow, UK

Tell us your hard problem.

A direct conversation, not a sales funnel.