About Us
Built by people who have shipped
enterprise AI before.
Our team has spent decades inside the exact problems SuperBrains solves: enterprise cloud migration, security compliance, and scaling AI from pilot to production.
60+ years
combined enterprise technology leadership
50+
AI and cloud projects delivered for enterprises
$4M+
technology platform built and scaled from the ground up
Leadership
Selecting an early-stage vendor for governed AI is in part a decision about the team.
Jitender Singh Shekhawat
Seventeen years advising enterprises on technology and AI adoption. Built and ran a technology solutions firm to approximately $4M in revenue, delivering more than 50 AI and cloud deployments. That adoption practice is what SuperBrains productises.
Vinod Gupta
Twenty-four years in architecture, design and development, covering enterprise cloud migration, performance engineering and security compliance. This is the governance and data-residency standard regulated clients require.
Vimal Jain
Twenty years leading engineering teams, with expertise in SDLC, microservices and lean development practices. This is the discipline behind a four to six week delivery cycle.
Why we are the right team for this problem.
Between them, the founding team has run enterprise AI adoption programmes, built the cloud and security infrastructure those programmes depend on, and led the engineering practice that ships them. The three disciplines SuperBrains requires are the three each of them has spent a career in.
We have lived inside enterprise AI adoption
Years spent helping enterprises adopt technology and AI mean we know exactly where deployments stall, and why most AI pilots never reach production.
We have built and scaled the hard infrastructure
Deep expertise in enterprise cloud migration, performance engineering, and security compliance, the same infrastructure a compounding intelligence layer has to run on reliably.
We have led the engineering discipline this requires
Direct experience running SDLC, microservices, and lean development practices at scale, the discipline needed to ship an intelligence layer enterprises can actually trust.
We are looking for partners who see what we see: the company with the most intelligent AI wins, and that intelligence is built, not bought off the shelf.