Metis Intellisystems

Metis Intellisystems is an AI- and ML-powered decision support software company founded in 2021 and headquartered in India. The company operates in the financial technology (fintech) sector, with a strong focus on the banking, financial services, and insurance (BFSI) industry. Metis Intellisystems is dedicated to transforming digital lending and risk management by delivering intelligent, automated decisioning solutions that enable hyper-targeted customer engagement, robust credit assessment, and early warning systems for lenders.

Core Products & Services

• QANAT Platform: An advanced decision-making engine that parses and analyzes bank statements, GST data, SMS, credit bureau, ITR, and financial statements. QANAT triangulates and cross-references multiple data sources to provide a unified, contextual understanding of each customer, supporting accurate risk assessment, onboarding, portfolio management, and fraud detection.

• AI-Powered Data Analytics: Proprietary algorithms that clean, organize, and analyze messy, unstructured financial data, enabling lenders to target the right customer with the right product at the right time.

• Early Warning & Risk Identification: Automated systems for identifying credit risk, detecting fraudulent transactions, and providing early warnings to maintain credit quality.

• Custom Solutions for BFSI: Tailored AI/ML-powered modules for onboarding, cross-selling, compliance, and business rule automation for banks, NBFCs, and fintechs.

Unique Value Proposition

• Unified Customer View: Metis integrates and contextualizes data from diverse sources, providing a comprehensive profile that enhances lending precision and reduces risk.

• Speed & Accuracy: The QANAT platform delivers rapid, accurate analysis of complex financial data, enabling faster, more reliable lending decisions.

• Scalability: Capable of processing statements from multiple banks simultaneously and expanding to new data sources as needed.

• Security & Compliance: Strong data privacy and security protocols, ensuring compliance with regulatory standards and client confidentiality.

Business Model & Revenue Streams

• B2B SaaS Subscriptions: Financial institutions, NBFCs, and fintechs pay recurring subscription fees for access to the QANAT platform and its analytics modules.

• Usage-Based Pricing: Revenue from API calls and data processing, allowing clients to pay based on volume and features used.

• Custom Integrations & Professional Services: Additional fees for onboarding, custom solution development, and integration with client systems.

• Consulting & Data Science Services: Advisory and implementation services for advanced analytics, compliance, and digital transformation.

Customer Segmentation

• B2B Focus: Large banks, NBFCs, small finance banks, cooperative banks, and fintech lenders in India and select international markets.

• Use Cases: Lending portfolio management, risk assessment, fraud detection, early warning systems, and cross-sell optimization.

Growth Strategy

• Product Innovation: Continuous enhancement of AI/ML models, expanding data source integration, and developing new modules for lending and risk analytics.

• Market Expansion: Scaling partnerships with financial institutions domestically and internationally, and targeting new segments within BFSI

• Strategic Partnerships: Collaborating with leading banks, NBFCs, and fintechs to drive adoption of intelligent decisioning systems.

• Thought Leadership: Active participation in industry forums and knowledge series to showcase technology and build credibility.