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FinOps platform for Fintechs. Reconciliation, Ledgering and Compliance1-10 Employees
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FinOps platform for Fintechs. Reconciliation, Ledgering and Compliance
NAYA is an AI-powered financial operations platform built for fintechs and companies with embedded financial services. It automates reconciliation, compliance, and ledger workflows to eliminate manual financial ops and reduce errors. NAYA transforms how financial data is managed, monitored, and matched in real time.

Key Features
- Automated Reconciliation: Match and resolve transactions across banks, payment gateways, ERPs, and ledgers using AI and machine learning—no rules needed.
- AI Compliance Monitoring: Continuously monitor financial activities and regulatory risks with multi-agent AI models that automate audit trails and flag violations instantly.
- Real-Time Ledger: Maintain accurate, always-on records through a programmable operational ledger that ingests and reflects transaction states across systems.
- Seamless Data Integration: Normalize and enrich data from banks, processors, and internal systems into a unified, queryable source of financial truth.

Benefits
- Reduce Reconciliation Time: Customers have seen reconciliation time drop by 96% while boosting transaction matching accuracy to over 99%.
- Stay Audit-Ready, Always: Real-time compliance monitoring ensures you’re never out of sync with regulatory changes or internal controls.
- Eliminate Financial Ops Bottlenecks: Automate repetitive workflows and empower lean teams to manage complex transaction flows without friction.
- Scale Confidently: Infrastructure-grade reliability for fintechs and platforms preparing to grow across new markets, products, and partners.

Use Case
A fintech lender processes high volumes of micro-transactions daily across multiple payment processors and two internal financial systems. Using NAYA, they automated the reconciliation and ledger updates, enabling their finance team to close books in hours instead of days, with near-perfect accuracy and full audit visibility.
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