# Pentation Analytics > Analytics for all \- AI\-powered analytics platform for insurance and BFSI organizations ## At a glance | Field | Value | | --- | --- | | Category | Analytics & Data | | Type | Solutions Provider | | Region | APAC | | Headquarters | Mumbai, India | | Founded | 2015 | | Stage | Growth | | Employees | 11-50 | | Funding | Seed | ## Overview Pentation Analytics is an insurtech and big data analytics company founded in August 2015 with a vision to "measure and address risk using advanced analytics for the insurance value chain." Guided by its mission of "Analytics for all," the company provides AI-powered predictive analytics and machine learning solutions that help insurers, intermediaries, and BFSI organizations maximize value for their customers and enhance organizational intelligence for better business outcomes. Founded by insurance industry veterans Anirban Roy, Kamal Kishore Das, and Pradip Shah, Pentation Analytics combines deep insurance domain expertise with advanced analytics capabilities. The company was selected among the Top 10 InsurTechs globally for Startupbootcamp's Hartford InsurTech Hub inaugural accelerator program, chosen from approximately 4,000 applicants across 96 countries. Pentation has also been named in FinTech Global's list of the world's most innovative InsurTech solution providers for two consecutive years. With offices in Hartford, Connecticut (US) and Mumbai, India, and a presence in the UAE through Pentation Analytics Middle East, the company has expanded from its initial success in the Indian insurance market to serve international clients across the US, Singapore, Dubai, and London. The company grew from 2 employees at founding to a team of 35 by 2020, and continues to serve some of the largest players in the BFSI space. ## Products & services ### Pentation OnePlatform Unified AI-powered analytics platform with the vision of "One Platform, Many Use Cases" for BFSI organizations. The platform integrates external and internal data using GenAI to enhance information, improve decision-making, and enable automation through machine learning models. **Key features:** - Four\-pillar approach: Intelligence Creation, Intelligence Sharing/Distribution, Intelligence Consumption, Intelligence Feedback - Aggregates diverse data sources and integrates multiple pre\-configured solutions - Provides accessible business intelligence and personalized actionable triggers - AI\-powered distribution management, demand forecasting, and customer loyalty tools *Target users:* C\-Level Executives, Business Owners, Operations Teams, Data Teams ### Insurance Analytics Suite Self-service analytics platform powered by machine learning for motor, health, P&C, and life insurance organizations. The flagship insurance-specific product uses customer-level data to address core use cases. **Key features:** - Three\-layered architecture: Insurance Data Model, Machine Learning Scoring Engine, and Use\-Cases Application Layer - Predictive intelligence for retention, cross\-sell, scenario analysis, and profitability - Ensemble scoring models for real\-time policy\-level risk insights - Handles multiple data sources, formats, and types \(numeric, text, image\) - Compatible with ACORD AL3 standard databases - Operational optimization algorithm for automated policy allocation *Target users:* Underwriters, Claims Managers, Marketing Teams, Actuaries, Agents, C\-Level Executives ### Insurance Analytics Suite \- Motor Specialized analytics module for motor insurance portfolios within the Insurance Analytics Suite. **Key features:** - Risk\-based pricing models - Loss ratio optimization - Customer segmentation - Renewal prediction and retention scoring *Target users:* Motor Insurance Underwriters, Pricing Actuaries ### Insurance Analytics Suite \- Health Analytics solutions for health insurance organizations within the Insurance Analytics Suite. **Key features:** - Member engagement analytics - Claims pattern analysis - Network optimization - Risk stratification *Target users:* Health Insurance Operations, Network Managers ### Insurance Analytics Suite \- Life Analytics for life insurance and annuity products within the Insurance Analytics Suite. **Key features:** - Persistency prediction - Cross\-sell and upsell targeting - Agent performance analytics - Customer lifetime value modeling *Target users:* Life Insurance Distribution, Agency Management ## Category & focus - Subcategories: Predictive Analytics, Customer Analytics, Claims Analytics, AI & Machine Learning - Insurance verticals: P&C, Life & Annuity, Health - Target customers: Carriers, Brokers, MGAs ## Notable customers - Major insurance carriers and intermediaries in India - International insurers in US, Singapore, Dubai, London ## Links - Website: - Directory profile: - Linkedin: - Aws marketplace: --- *Last updated: 2026\-03\-25*