Proxiant runs lean. The partners who pitched the engagement are the partners on the engagement. We don't subcontract the work, and we don't promise things we have not built.
The people who scoped the work are the people on the work. No staff augmentation, no offshore handoff after kickoff. If a partner cannot be on the engagement, we say no.
A working slide deck is not a working system. We measure ourselves on what survives in your environment after we leave, with your operators running it.
Some problems are model problems. Most are data, integration, or process problems wearing an AI label. We tell you which one yours is, even when that costs us scope.
We pair with your engineers, write runbooks, and document trade-offs as we go. The end state is a system your team owns and can change without us.
Pavan founded Proxiant after two decades architecting systems for regulated industries. He sets the engagement bar, owns client relationships, and stays close to the technical work.
Anthony leads engineering and delivery. He sets the bar on system reliability, evaluation rigor, and the line between research-grade and production-grade. Build engagements report to him.
Vasanth leads research and the training practice. He builds the curriculum that turns engineering teams into AI-native teams, and runs the cohort programs end to end.
Proxiant was founded by people who had spent years cleaning up after AI projects that looked great in proposals and fell apart in production. The pattern was familiar: vague briefs, oversized teams, undersized evaluation, and hand-offs that nobody could operate.
We built Proxiant to do this differently. Senior people, small teams, written architecture, real evaluation, and a hand-off your operators can actually run.
Three practices — Consulting, Labs, Training — share the same operating bar. Consulting ships the work. Labs keeps practical knowledge ahead of client work. Training brings the same standard to the teams who will run AI long after we're gone.
Send a brief. We respond within one business day, and the first call is a fit conversation, not a sales call.