Data Sutram offers an AI-powered data infrastructure that aggregates and analyzes information from over 250 external sources to provide actionable insights. This platform helps enterprises optimize customer acquisition, enhance fraud detection, and improve customer lifetime value.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses face challenges in making informed decisions across the customer lifecycle due to fragmented and inaccessible external data. This leads to inefficient customer acquisition, increased fraud risk, and missed opportunities for cross-selling and portfolio growth.
Solution
Data Sutram provides an AI-powered data infrastructure that aggregates and analyzes information from over 250 external sources to generate actionable insights. This platform empowers enterprises to optimize customer acquisition strategies, enhance fraud detection capabilities, and improve customer lifetime value through targeted cross-selling initiatives. By leveraging comprehensive external data, businesses can reduce risk and accelerate growth across all stages of the customer journey.
Target Audience
The primary target audience includes enterprises in the BFSI, CPG, and retail sectors seeking to enhance their data-driven decision-making processes for customer acquisition, risk management, and growth strategies.
Features
- **DS Find:** AI-driven prospect identification and targeting with curated contact information and personalized product recommendations to increase organic sales.
- **DS Authenticate:** Robust customer onboarding and portfolio risk assessment using a trust score derived from validation against 250+ data sources, flagging potential fraudulent activity.
- **DS Markets:** Geospatial analytics and market intelligence for strategic business expansion, enabling identification of focus areas, definition of sales targets, and optimization of resource allocation.
- **DS Collect:** Portfolio monitoring and customer enrichment tools, including alternate address identification for defaulted customers and early warning system (EWS) for potential defaults, leveraging Mobile Advertising IDs (MAIDs) for enhanced tracing.
- **Data Aggregation:** Integration of data from over 250 diverse external sources, including business registrations, financial transactions, and consumer behavior metrics.
- **AI-Powered Analytics:** Utilization of machine learning models for predictive analytics, risk scoring, and customer segmentation.
- **Industry-Specific Solutions:** Tailored insights and use cases for sectors including Banking, Financial Services, and Insurance (BFSI), Consumer Packaged Goods (CPG), and retail.