Pinaka AI provides an autonomous receivables intelligence platform that predicts which B2B customers will pay late and why, weeks before the due date, with 96% accuracy. The platform covers collections, disputes, and deductions workflows, and is built on Oracle Cloud. It helps finance teams protect cash flow by identifying payment risks early.
Funding
Funding not disclosed
Founders
Product
Problem
B2B finance teams often struggle to predict which customers will pay late, leading to cash flow disruptions and reactive collections efforts. Disputes and deductions are frequently discovered only after payment deadlines pass, leaving little time to intervene and recover funds.
Solution
Pinaka AI delivers an autonomous receivables intelligence platform that predicts payment delays weeks before due dates with 96% accuracy. The system analyzes customer payment behavior and transaction data to identify which accounts are at risk of late payment and the underlying reasons, covering collections, disputes, and deductions. By providing early visibility into payment risks, the platform enables finance teams to proactively address issues before they impact cash flow. Built on Oracle Cloud, it integrates with existing enterprise financial systems to deliver actionable insights and workflow automation.
Target Audience
Primary customers are B2B finance teams, including accounts receivable, collections, and treasury departments at mid-to-large enterprises that need to reduce payment delays and protect cash flow.
Features
- Predictive analytics that forecast late payments with 96% accuracy, weeks before the due date
- Automated collections workflow management to prioritize high-risk accounts
- Dispute and deduction identification with root-cause analysis
- Oracle Cloud-based architecture for secure, scalable enterprise deployment
- Real-time cash flow risk monitoring and alerts