OneCap is using agentic AI to automate financial reconciliation, a process that still remains heavily manual across most enterprises.
The startup claims to have analysed over 10 Mn transactions worth ₹17,000 Cr, identifying discrepancies that often lead to revenue leakage.
With a six-member team and AI-powered 'virtual employees', OneCap is betting on an AI-native operating model for enterprise finance.
Despite rapid advances in enterprise AI, one of corporate finance’s most critical functions remains surprisingly manual.
Financial reconciliation, the process of matching internal accounting records with external documents, such as invoices, purchase orders and bank statements, is still largely driven by spreadsheets and human verification.
For enterprises processing millions of transactions, it often means weeks of manual work before finance teams can confidently close their books.
Bengaluru-headquartered Onecap
believes AI can finally automate that process, helping businesses detect discrepancies long before they become expensive write-offs. It was founded by Sandeep Nambiar and Gururaj Laxmayya, who have worked across fintech firms such as Perfios, Open Financial Technologies, and PayPal.
Despite being critical to financial reporting and cash flow management, reconciliation continues to be treated as a back-office function. As businesses scale, finance teams often respond by hiring more people to manually compare invoices, purchase orders, bank statements and ERP records, a process that has changed little over the years.
Because reconciling thousands, or even millions, of transactions is highly resource-intensive, most organisations perform the exercise only at the end of a reporting cycle. The longer discrepancies remain undetected, the greater the risk of duplicate payments, missing invoices, and accounting errors translating into revenue leakage.
Founded in 2025, OneCap believes that approach is no longer sustainable. In an interview with Inc42, Nambiar said that OneCap’s platform has analysed more than 10 Mn transactions over the past three-and-a-half months, representing more than ₹17,000 Cr in value.
OneCap secured a $250,000 pre-seed investment from Antler before officially launching the company.
“We have identified discrepancies in approximately 3.5% of the transaction value. These include duplicate invoices, duplicate payments, invoices that were never booked, incorrectly recorded transactions, and other reconciliation exceptions,” Nambiar said.
While that percentage may appear small, at enterprise scale, it can translate into significant financial losses. According to the company, businesses can lose 2%-3% of annual revenue through write-offs stemming from unresolved payment disputes, accounting errors, and reconciliation gaps.
For OneCap, the answer lies in continuous reconciliation. Instead of waiting until month-end or quarter-end to uncover issues, finance teams can detect exceptions almost as they occur, allowing businesses to resolve discrepancies before they affect cash flow, vendor relationships or financial reporting.
At the heart of OneCap’s platform is an agentic AI layer built specifically for financial reconciliation.
A multi-layered AI architecture powers the platform centred around reconciliation agents and an ‘Intelligent Hypothesis Engine’, with Anthropic’s Claude models serving as the core reasoning engine.
The AI performs three key functions. First, it can ingest and interpret financial data irrespective of its source or format. Second, it comes with a built-in financial skills library, enabling it to understand accounting principles, reconciliation logic, and financial workflows without extensive retraining.
“You can think of it as hiring an experienced accountant or even a chartered accountant who already understands finance,” Nambiar said. “Instead of teaching these concepts every time, we’ve embedded that knowledge directly into the platform.”
The third layer focuses on enterprise-specific workflows. Since every organisation follows its own standard operating procedures (SOPs), users can simply describe their processes in natural language, allowing the AI to execute reconciliations according to their internal rules.
OneCap initially built the platform using OpenAI’s models but later shifted to Anthropic after internally benchmarking multiple large language models for finance-specific tasks. While OpenAI delivered strong performance, Nambiar said Claude consistently demonstrated better reasoning and higher accuracy for complex reconciliation workflows.
“We continuously evaluate new models as they emerge,” he added. “But so far, Anthropic has proven to be the best fit for our financial services use cases.”
Beyond the core reconciliation engine, Nambiar explained that OneCap has built a library of specialised AI skills for different reconciliation workflows. Instead of relying on a single general-purpose AI system, the company has designed purpose-built agents for each specialised task.
He emphasised that the company’s differentiation goes beyond the product itself. “What makes us different is that we are building the entire organisation around AI.”
To illustrate this, the cofounder said OneCap currently has a team of just six people supporting more than 13 enterprise customers. According to him, this is possible because the company also has what it calls virtual employees, AI agents that take on many operational responsibilities that would traditionally require human employees.
He said the company currently has more than five virtual employees, each responsible for a specific function. One example is Oogway, named after the character from Kung Fu Panda, which serves as OneCap’s AI-powered customer success representative.
Mid-market and large enterprise clientele includes the likes of Malabar Gold & Diamonds, KreditBee, HomeLane, and Mom n Me, among others.
The global reconciliation software market size was valued at $2.30 Bn in 2025. The market is projected to grow from $2.65 Bn in 2026 to $8.10 Bn by 2034, exhibiting a CAGR of 15% during the forecast period, according to Fortune Business Insight’s data. Several companies are working on financial reconciliation in India, but the landscape remains relatively sparse.
Among Indian startups, OneCap appears to be closest to Recko in terms of positioning itself as a dedicated reconciliation platform. Acquired by Stripe in 2021, Bengaluru-based Recko’s helps enterprises reconcile high volumes of financial transactions across multiple systems with minimal manual intervention.
Larger fintech firms like Razorpay, Cashfree, and Decentro provide reconciliation capabilities primarily to complement their broader payments and banking infrastructure offerings.
Their products are designed around payment processing, payouts, collections, virtual accounts, and business banking, with reconciliation serving as one component of a larger financial stack. OneCap, on the other hand, is positioning reconciliation itself as the primary problem to solve, particularly for enterprises managing complex financial workflows across multiple payment channels, ERPs, and banking systems.
[Edited by Nikhil Subramaniam]
Source: Inc42 - Startups
