Ten years building companies that carried real volume.

What has been built, and at what scale.

Anupam Shah has spent ten years building software companies across fintech, web3 and AI, as founder and operator. He ran payment infrastructure as a neobank CTO — $60M+ in volume, MAS-regulated, inside SOC 2 and ISO 27001 operating environments.

That stack cleared volume across eight currency pairs, with DBS and Wallex on the banking side and Circle's USDC CCTP and Ripple ODL on settlement. Corridors where a stuck payment is somebody's payroll, and a silent retry is a double spend.

Before Provingmark: an exit from Munim, and a software engineering agency founded, taken to profitability without outside capital, and handed on. Pre-seed backing from Outlier Ventures for a cross-border payments company he co-founded, and raise execution for Emvo.

He has advised blockchain companies that secured billions in assets.

Ten years of that is the argument this firm makes: production systems that carried volume, under names you can look up.

That record is where the habits in every build come from: a human gate on anything irreversible, decisions logged well enough to reconstruct months later in front of an auditor, and a working distrust of any system that can be wrong quietly.

Provingmark exists because what it takes to ship production software has changed, and because most of what makes a build fail was never typing speed. It is scope nobody wrote down, decisions nobody logged, and a specification nobody was willing to argue with.

Who the firm builds for.

Client work today spans agri-commerce, medical travel and enterprise AI, each on the work page with its scope stated and the live product linked.

What the firm sells.

What the firm sells is AI implementation: LLM and agent features built into products that already have users, and workflow automation on the processes where a wrong answer costs money silently — invoice approval, claims triage, KYC review, order exceptions, payout reconciliation.

The payments background is why: those are the processes where being wrong is expensive and quiet at the same time.

Anupam also advises directly: fractional CTO work for teams without one, technical diligence for investors, and second opinions on architecture before a large spend.

The call is free. Bring the workflow you want automated, or the system that is worrying you.