Arun Kumar Vasu

The founder story

Over a decade in the IT sector has taught me one thing: the industry's real advantage is not effort alone, it is learned process knowledge. Working closely with global businesses across programmes and delivery streams, I saw how the value we deliver is repeatedly measured in person-hours, while the deeper knowledge of how those businesses actually run stays locked inside delivery teams rather than becoming products.

Publishing is where that insight became concrete. Through my experience as a senior project manager in publishing, I saw how bottlenecks build up across handoffs, approvals, partner turnaround times and disconnected trackers. The challenge was not a lack of effort; it was making the process visible enough to act before a delay became a missed commitment. The same pattern repeats across industries — accounting, reconciliation, close and beyond.

That shaped a broader conviction. AI-enabled software development opens a real path from service-oriented delivery to product-led businesses, built on the process knowledge a decade in IT services creates — knowledge that should become products, not billable hours alone.

Our ambition is to turn that learned experience into products for complex tracking and accounting problems across industries. InPublish applies this thinking to publishing workflows; InNumber brings it to reconciliation and close review — and the engine generalises wherever dependencies, evidence and exceptions decide the next commitment. The common foundation is understanding dependencies, evidence, exceptions and the people responsible for the next decision.

The moat we aim to build is not AI alone. It is learned process knowledge, translated into useful rules and strengthened by experience. Global enterprise problems are our focus; the work is to earn trust through transparent, carefully scoped delivery.