Osfin

Osfin positions itself as an intelligent financial-operations automation platform for reconciliation across banking, payments, fintech, insurance, capital markets, gaming and retail. It claims low-code ingestion and reporting through 170+ integrations, processing of millions of entries, configurable reconciliation and payout-validation processes, dashboards, dedicated support, and prevention of revenue leakage. It displays ISO 27001, SOC 2, GDPR, PCI DSS/SSF and 256-bit SSL claims.

The FAQ defines Osfin as an intelligent automation platform for high-speed reconciliation of ACH, deposits, loans, payments, invoices and trades. It targets enterprises with high-volume complex financial transactions, claims 170+ connectors to gateways, banks, ledgers, ERPs and internal databases, and lists real-time cashflow dashboards, exception tracking, payout validations, audit trails and partner performance insights.

Osfin says it automates manual financial operations for enterprise finance teams through tailored integrations, real-time analytics, reporting and reconciliation, with goals of reducing leakage and improving productivity. The page repeats security and compliance claims but does not name founders or executives.

The privacy policy identifies Beeworks Softwares Private Limited as owner and manager of the Osfin website and application. It gives the registered office as Flat No. 901, Laburnum Park Building A, Magarpatta City, Hadapsar, Pune, Maharashtra 411028 and names Pavan Rathore as the CISO, grievance officer, redressal officer and consent contact.

The terms describe proprietary Osfin software licensed to corporate legal entities for managing and reconciling e-commerce payments. Customers control uploaded inputs and own generated data, results and reports; integrations require customer authorization. The terms are governed by Indian law with Bangalore courts having exclusive jurisdiction.

Osfin claims SOC 2 compliance, GDPR compliance, ISO 27001 certification, 256-bit SSL encryption, PCI DSS and PCI SSF adherence, regular security audits and VAPT testing. Public certification reports or certificate identifiers are not exposed on the retained page.

The banking solution covers ACH, cards, instant payments, RDC, SWIFT, deposits, loan repayments, interest accruals and bank-to-ledger reconciliation. It claims 98%+ typical automatch rates, detailed audit trails, validation checks, exception communication and escalation, AI-assisted triage and resolution, automated ingestion from email or SFTP, and automatic posting of journal entries or adjustments back to core or downstream systems. Dedicated implementation experts are offered.

The payments page covers card, UPI, net-banking, wallet, BNPL, payout, refund, chargeback and multi-leg settlement reconciliation. It claims 99.9% auto-reconciliation, anomaly and overcharge detection, unified settlement status, open API connectivity plus email/SFTP ingestion, and in-platform exception communication, escalation and resolution. AI agents are described as helping triage and prioritize mismatches, not as moving funds.

Osfin's fintech solution reconciles lending disbursements and repayments, wallets, BNPL, P2P transfers, fee and commission settlements, and ledger-to-operational data. It supports multi-product environments, any-format data, 170+ systems, open APIs, email and SFTP, configurable matching, exception collaboration and AI-assisted triage. The page says the platform can serve early-stage fintechs and scale with volume.

The insurance solution reconciles premium postings, claims payouts, agent commissions and transaction records across ledgers, operational sources and banks. Rule logic can be customized by policy, product and claims workflow. Osfin says visibility and AI analytics help teams identify and address fraud or discrepancies; it does not claim to adjudicate insurance claims or disburse claim funds.

The current capital-markets solution page markets reconciliation of equities, fixed income, derivatives, crypto, positions and settlement instructions across exchanges, brokers and custodians through 170+ connectors, with validation, dashboards, reporting and support. It claims 100% accuracy as a product benchmark, not a named customer result.

The gaming solution reconciles deposits, withdrawals, purchases, bonuses, winnings and third-party settlements, consolidates platform and payment data, validates player balances, and monitors reconciliation through dashboards. It claims millions of micro-transactions can be processed in minutes. The page concerns validation and reconciliation, not execution of player payouts.

The retail solution reconciles in-store sales, online orders, returns, refunds, marketplace settlements and loyalty redemptions across e-commerce, POS and payment systems. It continuously detects unmatched refunds, incorrect gateway deductions and missed marketplace fees. This is transaction and fee reconciliation; the page does not show Osfin issuing refunds, editing marketplace fees or operating inventory.

Osfin describes format-agnostic ingestion of CSV, XLS, JSON, XML and MT940 through 170+ integrations, deviation tolerance and data-quality controls, logic-based matching, and processing up to 30 million transactions in 15 minutes. Missing, duplicate and settlement anomalies are automatically flagged, given reasons and routed to teams. The article also claims real-time dashboards, audit-ready history, RBAC and two-factor authentication.

Osfin's product summary describes format normalization, deviation tolerances, one-to-many, many-to-one and up-to-five-way matching, automatic reason assignment and ticket routing for unmatched transactions, compliance reports, full audit trails, maker-checker controls, role-based access and two-factor authentication.

The contact page routes prospects to a product expert and demo form. It identifies Bengaluru as the HQ and lists a US office at 1710 Keller Parkway #5363, Keller, Texas. It publishes no price, billing unit, minimum contract or quote formula.

Osfin's official company profile says it was founded in 2020, is privately held, is headquartered in Bengaluru, and has a 51-200 employee size band; 189 employee profiles were visible at access time. It lists locations in Bengaluru, Austin and New York and specialties including reconciliation, payout management, invoice processing, AR/AP automation, financial close, cash application and order-to-cash.

Info Edge's annual report lists Beeworks Softwares Private Limited under the trade name Osfin in the Info Edge Ventures Fund II portfolio and describes it as SaaS for financial reconciliation and AR/AP automation. The report does not disclose Osfin-specific investment amount, round, stake or valuation.

State Bank of India awarded Beeworks Softwares Private Limited a contract for application and services to reconcile ATM, debit-card, prepaid-card and metro-card transactions. Purchase order PO10010612 is dated 2024-11-26, has a stated value of INR 52,500,000 and scheduled completion on 2029-11-30. The award confirms a named customer and contract value but reports no achieved outcome.

The customer page links eight dedicated case studies and publishes named qualitative testimonials from PharmEasy, Games24x7, ManipalCigna Health Insurance and Buku Warung. PharmEasy cites SKU-level cashflow and state-wise charge/tax reconciliation; Games24x7 cites visibility across internal data, gateways and banks plus gateway-charge auditing; ManipalCigna cites partner-payment and commission administration; Buku Warung cites accuracy and productivity.

The official case hub enumerates eight dedicated case-study URLs: e-commerce payment reconciliation, D2C inventory reconciliation, loan reconciliation, gaming finance, crypto reconciliation, card reconciliation for an Indian bank, prospective capital-markets reconciliation and ATM reconciliation for an Indian bank.

An anonymous prominent Indian e-commerce retailer processing 1+ million monthly transactions deployed Osfin in under four weeks. Osfin reports 2% annual-revenue savings, 99% reconciliation automation, 100% accuracy, 85% less manual processing time, gateway-charge discrepancies resolved within 24 hours and a 60% shorter reporting cycle. No outcome measurement window or method is disclosed.

An anonymous D2C fashion brand deployed order-to-courier shipping reconciliation, return tracking and real-time stock reconciliation. Osfin reports inventory accuracy rising from 85% to 100%, returns processing time falling 30%, unaccounted inventory falling 15% and customer-satisfaction scores rising 25%. No timeframe, sample or measurement method is disclosed.

An anonymous Indian fintech with 2+ million active loans implemented data ingestion, normalization and matching in six weeks, 40% faster than projected. Within two months, Osfin reports reconciliation time falling from five days to under 12 hours, 90% auto-reconciliation, 60% fewer unreconciled items, 10% fewer write-offs, two legacy systems retired, 500+ reconciliation processes consolidated to 50, 200+ spreadsheets eliminated and estimated annual savings of US$200,000.

An anonymous Indian gaming company processing 5+ million daily transactions implemented ingestion, normalization and matching in six weeks. After two months, Osfin reports reconciliation time falling from 12 hours to one hour, a stated 90% speed improvement, a 98% auto-reconciliation rate and 40% fewer finance-related support tickets. Player satisfaction and retention are described qualitatively.

An anonymous crypto exchange processing 100,000+ daily transactions deployed multi-chain ingestion, on/off-chain matching and monitoring. Osfin reports 95% automation with 100% accuracy, 90% less manual processing time and 50% less regulatory-reporting time; unusual-transaction identification is only qualitative. No measurement period is disclosed.

An anonymous Indian bank with 25 million card customers and 10+ million daily transactions implemented Osfin over 14 weeks. Within three months, Osfin reports reconciliation falling from 120 hours to three hours, a stated 97% improvement, exception automation rising from 10% to 95%, fraud-detection false positives falling 70% and estimated annual savings of US$500,000. The prior workload included 500+ manual exceptions daily.

The page explicitly says Osfin's capital-markets solution was not yet implemented with live customers. It presents 100% reconciliation accuracy and 25% faster SLA achievement as capability or potential-benefit claims and quotes an unnamed industry expert about what the product could do. These figures are not treated as achieved case metrics.

An anonymous Indian bank with 1,500+ ATMs across 20 states implemented Osfin in 12 weeks, 60% faster than projected. Within three months, Osfin reports reconciliation time falling from 72 hours to under four hours, a stated 95% reduction, and exception-resolution automation rising from 20% to 85% from a workload of 500+ daily cases. The title and hub call US$1.5 million cost or annual savings, while the page's metric label incorrectly calls the dollar value a reduction in data-processing time and the body provides no savings formula.

Osfin's retail article explicitly names Shopify, Amazon, Stripe, Square, PayPal, QuickBooks and banks as data sources it can integrate for automated reconciliation. It describes format-agnostic API, CSV, Excel and SFTP ingestion and matches sales, payouts and bank deposits. Shiprocket is not named.