About

A small team, deep in the hard parts of AI.

OpScaler is a small, senior AI studio, founded in the US by Pavan and Karthik. We're not a generic dev shop that added an AI page — our edge is depth in the hard disciplines: fine-tuning open-weight models to frontier parity, independent evals, AI safety, sovereign on-prem inference, and governance for regulated work.

We build directly with founders and small teams. No account managers, no layers of process — just senior engineers who own the model, prove the quality with a separate judge, and ship it into money-on-the-line reality. When we ship, it stays shipped.


Team

Founded by builders

Pavan Tikkani

Pavan Tikkani

Co-Founder

Nearly two decades in global technology, now focused on the hard end of AI systems: fine-tuning and distilling open-weight models to frontier parity, LoRA/QLoRA on domain data, and independent multi-judge evals so quality is measured, not asserted. Known for simplifying complex challenges and an unwavering passion for clean, elegant code.

Karthik Sethupathy

Karthik Sethupathy

Co-Founder

Seasoned technologist who built his career across leading technology companies. Owns the AI-infrastructure backbone: sovereign, on-prem model serving on hardware the customer controls, the full agent loop, and zero-egress deployments that run at fixed cost. Sharp, detail-oriented approach to standing up frontier-level models in infrastructure you control.


How we think

Our values

Design it

We design frontier-level systems on hardware you control. No per-token bill, no data egress — you own the model and the data.

Prove it

Never ship on vibes. Every claim is checked by a separate judge model — independent evals, not self-grading.

Ship it

Into regulated, money-on-the-line reality — fintech voice payments, life-sciences CMC — not demos. When we ship, it stays shipped.

Stay lean

A small, senior team — the people who design it are the ones who build it. No account managers, no layers of process, no bench to hand you off to. No excess, no compromise.

Move in weeks

Idea to production in about six weeks, then hardened. Fast doesn’t mean sloppy — we write code your next engineer will thank you for.

Slow down to speed up

AI writes code at warp speed. More is generated than ever, and less of it reviewed. So we slow down where it counts — read the code, test the edges, gate it behind a separate judge — because that’s what makes the speed safe to keep.

Keep learning

The frontier moves weekly. We stay current on models, tooling, and technique so your stack stays sharp, not legacy.

Want to work with us?

We're always looking for interesting projects.