Sidharth
Saxena

From Sketching Products to Automating the Books

Sidharth Saxena spent the early part of his career thinking about how things feel in your hands - buttons, interfaces, the tactile logic of good design. He studied industrial and product design at IIT Guwahati, one of India's premier technology institutes, then crossed to Indiana University Bloomington for a master's degree. He landed at Oracle in Redwood Shores, California, designing enterprise software interfaces that thousands of users would navigate daily.

At Oracle, he met Sugam Pandey - another IIT Guwahati alumnus. They later reunited at the startup trenches of Silicon Valley, running through VMware and Primary Data before landing on the idea that would consume the next decade of their lives. In 2016, the two co-founded Docyt.

The product they set out to build was not, at first, what it is today. Docyt began as a secure document-sharing platform - a reaction, in part, to a deeply personal data incident. Early in his career, Saxena had watched immigration documents containing his most sensitive personal details get accidentally forwarded across multiple inboxes. That experience crystallized his thinking about data privacy in a way no textbook ever could.

The pivot to accounting automation came from watching customers. Small business owners were drowning in back-office chaos - receipts in one app, bank feeds in another, a bookkeeper piecing it together manually, and financial reports arriving weeks too late to matter. Saxena saw a design problem: the system was broken not because the data didn't exist, but because nothing connected it intelligently.

Saxena spent five years doing something most AI founders skip: training his own data. He assembled teams of expert accountants to label transaction data across twenty-plus industry verticals - hotels, restaurants, retail, franchises, construction. Each labeled record became part of what Docyt now calls HpAI: High Precision Accounting Intelligence.

The bet paid off. Docyt's categorization accuracy sits at 99%. Its AI reconciles bank transactions, matches vendor documents, categorizes expenses, and closes the month-end books without human hand-holding. The platform integrates with over 15,000 banks, 20-plus point-of-sale systems, and 300-plus payroll systems.

The metric that changed how accounting firms talk about Docyt: clients using the platform report a threefold increase in how many clients they can serve with the same headcount, and a 90% reduction in the time it takes to review a set of books. Christa Wells, Managing Partner at J M Keehn Accountancy, put it plainly: "Docyt saves us roughly 15 hours per week, with an unprecedented level of accuracy."

In August 2025, Docyt closed a $12 million pre-Series B round led by Pivot Investment Partners - the latest chapter in a total funding story of $27.2 million. The fresh capital goes toward scaling HpAI deployment to more accounting firms and multi-entity businesses.

The Long Road From Design to AI

The path from product sketches to machine learning pipelines is not straight, and Saxena did not pretend otherwise. Each stop in his career added a layer - user research at Whirlpool, enterprise-scale thinking at Oracle, infrastructure instincts at VMware and Primary Data, and the lean startup reality of Rendewoo.

By the time he co-founded Docyt, he understood how large organizations build software, how users actually behave inside complex tools, and how data flows through enterprise infrastructure. That combination is rare. It shows in the product.

Saxena keeps one quote close, credited to Amelia Earhart: "The most difficult thing is the decision to act, the rest is merely tenacity." It is not the kind of quote someone chooses because it sounds good. It is the kind someone chooses after sitting with an unproven idea for years, training data that nobody outside your company has seen yet, and waiting for a market to catch up to your thesis.

His conviction on real-time financial data is not abstract. He watched SMBs that adopted modern financial tools during economic disruption come out better positioned - faster access to lending, better government program eligibility, sharper workforce allocation. The back office, he argues, is not overhead. It is a competitive edge hiding in plain sight.

Outside the obvious business narrative, Saxena talks openly about building opportunities for women freelancers in economically disadvantaged countries - using the platform economy to move prosperity and literacy into communities that traditional corporate pipelines ignore. It is a specific and unusual thing for a B2B SaaS CEO to champion, which probably means it is genuine.

Spread the Story

Find Sidharth Online