For Cointab, the idea for reconciliation automation did not begin with a theoretical finance problem. It came from running a payments business.
Before building Cointab, the team behind the platform had built and operated a peer-to-peer payments app that served more than one million registered users. As transaction volumes increased, the team found itself dealing with a familiar but increasingly difficult problem: records coming from different systems did not always line up. Internal data had to be checked against payment partners, banks and operational systems, while Excel-based processes became slower and harder to audit as complexity grew.
That experience became the starting point for Cointab, which has since developed into a reconciliation automation platform designed around recurring finance workflows.
CoinTab: Moving reconciliation beyond recurring spreadsheet work
Reconciliation can appear deceptively simple when transaction volumes are low. Two files are compared, differences are identified and adjustments are made.
The difficulty changes as a business adds payment gateways, marketplaces, bank accounts, vendors, cash-on-delivery partners and internal financial systems. The same reconciliation may also have to be repeated every week or month.
Cointab’s approach is to let finance teams configure a reconciliation workflow once and reuse it in future periods rather than rebuild the same spreadsheet logic every time. The platform is designed to surface exceptions and produce reports that can be reviewed and retained for audit purposes.
Its reconciliation use cases include payment gateways, marketplaces, bank statements against books, COD partners, vendors, customers, e-commerce transactions, ERP or books data, and custom comparisons between internal and external datasets.
The company offers both predefined workflows for common reconciliation requirements and custom setups where businesses can define their own reports, columns, matching logic, supporting data and business rules.
A matching engine built for transactions that do not line up neatly
One of the practical challenges in reconciliation is that transactions rarely follow a single matching pattern.
A payment in one system may correspond directly to another record, but finance teams can also encounter one-to-many, many-to-one and many-to-many relationships. Partial matches, net settlements and contra entries add another layer of complexity.
Cointab says its matching engine is designed to handle these different scenarios. Its data model separates the records being compared into two sides, allowing businesses to match internal sources such as sales data, ERP systems, books or ledgers against external records including payment service provider reports, marketplace settlements, bank statements, COD reports and vendor or partner files.
Once processed, users can review fully matched, partially matched, unmatched and skipped records in one place.
That emphasis on exceptions is important to Cointab’s broader product philosophy. Rather than treating reconciliation as a black-box process, the company says users should be able to understand what information was uploaded, which logic was applied, what matched and why some items remain unresolved.
Cointab is using AI, but with an audit trail in mind
Cointab has also introduced AI assistance into parts of the reconciliation process.
The platform uses AI to help create formulas, work with difficult unstructured transactions, analyse exceptions and suggest possible reasons or actions for unresolved items.
What stands out, however, is the company’s stated position on how AI should be used in finance operations.
Cointab says AI should assist with reconciliation without making the process opaque. Its product philosophy calls for outputs to remain reviewable and audit-friendly, while finance users retain the ability to filter, download, manually match and audit results.
That distinction matters in a workflow where automation is useful only if finance teams can still explain the final numbers.
Automating the work around reconciliation too
The platform is not limited to the matching stage.
Cointab also supports automation of recurring data inputs, reconciliation runs and output delivery. Reports and data can be moved through email, SFTP or APIs, allowing businesses to automate more of the workflow surrounding the actual reconciliation process.
The company positions the product for organisations dealing with high-volume data spread across multiple systems and partners.
Among the use cases it highlights are e-commerce and direct-to-consumer businesses reconciling website sales, payment gateways, COD partners, marketplace settlements, returns and refunds; retail companies comparing store collections and bank deposits; and marketplace sellers working through sales, settlements, deductions, returns and payouts.
Payment-heavy businesses, finance and accounting teams, and accounting service providers managing reconciliations for multiple clients are also among the groups Cointab is targeting.
From food-delivery settlements to multi-source finance data
Cointab says its reconciliation workflows have been used across e-commerce, retail, education, travel, logistics, consumer brands and finance operations.
One example comes from The Belgian Waffle Co, which said it has used Cointab for order, payment and cash reconciliations, including transactions involving food-delivery platforms such as Swiggy and Zomato and store-level cash management.
The company said the automated system reduced the manual intervention required in its reconciliation process.
It is a useful illustration of the problem Cointab is attempting to solve. A single business can receive transaction data from stores, digital payment systems and external platforms, leaving finance teams to determine whether every sale, deduction, settlement and cash movement has been accounted for correctly.
The team behind Cointab
Cointab’s leadership includes Vinit Maniar as CEO, Gaurav Bansal as CTO and Arul Sundarraj as VP Engineering.
The broader team describes its background as spanning payments, high-volume transaction data, financial workflows and automation. It also points to experience building payment systems and working directly with finance teams on operational reconciliation problems.
That history helps explain why the company’s product story repeatedly returns to the same theme: reconciliation should not have to be rebuilt from scratch every accounting period.
Cointab’s larger bet is on repeatability, not just automation
Cointab is entering a part of finance operations that rarely attracts attention until something fails to match.
Its proposition is relatively straightforward. If a business performs the same reconciliation every month, the logic behind that process should be reusable. If automation is introduced, finance teams should still be able to inspect the underlying records. And if AI is involved, it should help investigate discrepancies rather than make the final result harder to explain.
The platform therefore appears less focused on removing finance teams from reconciliation and more focused on removing the repetitive work surrounding them.
For a product whose origins can be traced to the reconciliation headaches of a payments app with more than one million registered users, that is a particularly fitting direction: Cointab is building the tool its own team once needed.
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