End Close

AI powered reconciliation for high-volume payments companies

Winter 2026

Fintech

SaaS

Payments

B2B

About

End Close builds automatic reconciliation for payments companies like fintechs, marketplaces, banks and payroll companies. Reconciliation helps companies track every dollar and resolve every exception, ensuring they have no money loss, can report audit ready financials, and stay compliant. Sean (CEO) spent the last 6 years building the reconciliation org at Modern Treasury (S18), processing a trillion dollars in payments across 40 banks with 99.995% automation. Fast growing companies like Modern Treasury are forced to build a solution in-house or buy a legacy solution. End Close provides a modern reconciliation system that works with a company's existing stack and is managed by AI agents. Exception handling is where 99% of the manual work happens today, payment ops teams spend hours gathering context across various data sources to investigate each ticket. End Close provides an AI ops agent that connects to a company's data warehouse, invoicing platform and payment processors to triage and resolve issues without human intervention. Legacy providers only provide reconciliation for month end close applications. End Close continuously reconciles with developer friendly APIs, allowing teams to integrate real time payments data within their products to create product experiences for customers like faster balance top-ups, instant trading etc. New payment rails and agent-to-agent payments are increasing online transaction volumes, making reconciliation a growing challenge for companies. David (CTO and 2nd time YC founder) most recently built these kinds of high-scale ingestion pipelines when starting and leading error tracking at PostHog (W20), the fastest growing product in the company's history.

Founders

Sean Bolton

Founder

Sean is the co-founder and CEO of End Close. Sean was the third hire at Modern Treasury (S18) where he spent 6 years as the tech lead of payments engineering before building and running the reconciliation org. While there he scaled the product to $350B in annual payments volume and $1T in annual reconciliation volume with 99.995% automation.

David Newell

Founder

David is the co-founder and CTO of End Close. Before End Close, David was the team lead at PostHog (W20) for the error tracking product which became the fastest growing in the companies history. David previously founded Unflow (S19) and has worked as a product engineer at Intercom and Basecamp.

AI Research Report

Problem & Solution

Problem / Solution Report

Problem Statement High-volume payments companies, including marketplaces, processors, and fintech platforms, face acute reconciliation challenges. These organizations deal with enormous transaction volumes, complex payout and fee flows, and fragmented data across various processors, banks, and ledgers. The resulting timing differences between clearing and ledger updates often lead to slow financial closes, frequent exceptions requiring manual investigation, and a high risk of accounting errors. This creates significant operational overhead for finance and operations teams.

How End Close Frames the Problem End Close positions the financial close process as a typically chaotic 'scramble' to hunt down missing transactions and explain variances using last-minute spreadsheets. The company identifies the core issue as the lack of continuous reconciliation, which forces teams into a reactive 'firefighting' mode at the end of every month rather than being constantly audit-ready.

Product Solution & Capabilities End Close offers a platform for continuous, automated reconciliation designed to handle hundreds of thousands of transactions per day. Its core capabilities include a deterministic rules engine that achieves high match rates and AI agents that investigate and suggest resolutions for exceptions. The platform features an exceptions inbox for team collaboration and a developer-first API with webhooks for seamless integration into existing ledgers and ERP systems. This approach moves reconciliation from a batch process to a continuous infrastructure service.

Value Proposition and Outcomes The primary value proposition of End Close is to provide faster closes with fewer surprises and significantly reduced manual work. By combining deterministic matching with machine learning suggestions, the platform aims for 99.9% automation. The ultimate outcome for the customer is a reliable, audit-ready infrastructure that pushes clean, reconciled events directly into their financial systems, thereby reducing the time and cost associated with manual financial operations.

Market & Competitors

Market & Competitors Report

Market Summary & Trends The reconciliation software market is a rapidly growing category driven by the global surge in transaction volumes and increasing regulatory demands for financial transparency. Market research indicates a high projected growth rate, with CAGRs in the low-to-mid teens through the 2030s. Key trends include the adoption of cloud-based financial tools, the use of AI and machine learning for automated exception handling, and a shift toward developer-friendly APIs that allow for real-time reconciliation rather than traditional batch processing.

Key Competitors & Adjacent Solutions The competitive landscape includes several well-established enterprise incumbents and vertical-specific solutions:

Enterprise Close & Reconciliation: Companies like BlackLine and Trintech dominate the enterprise space, offering broad financial close automation suites for large corporations.
Transaction Lifecycle Management: Vendors such as ReconArt, AutoRek, and SmartStream provide specialized reconciliation tools often used in financial services.
Platform-Native Tools: Major payment processors like Stripe and Adyen offer their own native reconciliation features, while ERP vendors like NetSuite and SAP provide modules that handle basic matching.

End Close Competitive Positioning End Close distinguishes itself through a developer-first approach, emphasizing APIs and webhooks that appeal to tech-forward fintechs and high-volume platforms. Its primary strength lies in the combination of a high-throughput deterministic rules engine with AI agents for exception investigation. This allows it to target a niche that may find traditional enterprise software too cumbersome or native processor tools too limited for complex, multi-source data environments.

Target Customers and GTM Implications The ideal customers for End Close are high-volume payments companies, marketplaces, and PSPs that require high-speed, real-time reconciliation. To compete effectively against entrenched incumbents, End Close’s go-to-market strategy focuses on ease of integration and the reduction of manual exception volumes. Strategic partnerships with ERP providers and payment processors are critical to reducing implementation friction and establishing a defensive position in the market.

Total Addressable Market

Quantitative and TAM Report

Market Definitions & Primary Data Sources To estimate End Close’s Total Addressable Market (TAM), industry research for the reconciliation software market was utilized. This market encompasses software that automates matching and reconciliation across banks, ledgers, invoices, and related records—the exact space where End Close positions its continuous payments reconciliation and exception automation product. Two independent market research sources provide consistent mid-2020s baselines and multi-year projections.

TAM (Conservative Baseline) According to Fortune Business Insights, the global reconciliation software market is valued at approximately USD 2.30 billion in 2025 and is projected to reach USD 8.10 billion by 2034, exhibiting a CAGR of roughly 15.0%. Similarly, Grand View Research estimated the market at USD 2.53 billion in 2024, with a projected growth to USD 7.54 billion by 2033. These figures represent the global market for reconciliation software across all verticals and deployment types.

SAM/SOM Targeting High-Volume Payments End Close specifically targets high-volume payments companies, such as payment processors, marketplaces, and fintech platforms. If this 'high-volume payments' vertical represents an estimated 20–30% of the overall reconciliation market, the Serviceable Addressable Market (SAM) for the mid-2020s would be approximately USD 460 million to USD 780 million. This segmentation is reasoned based on the disproportionately high transaction volumes and demand for advanced reconciliation in the payments sector.

Methodology & Assumptions The baseline TAM is derived from published reconciliation software market values. The segmentation for SAM uses qualitative positioning based on End Close’s focus on high-volume payments. A Serviceable Obtainable Market (SOM) scenario capturing 1–5% of that SAM would correspond to approximately $4.6 million to $39 million in annual recurring revenue (ARR) at scale. These estimates are intended to be transparent and should be adjusted based on specific go-to-market capacity and pricing models.