Tazi AI Systems
Adaptive, Explainable AI Platform for Insurance and Financial Services
Overview
Tazi AI Systems is a predictive AI platform that empowers insurance companies and financial institutions to reduce churn, detect fraud, improve underwriting, and enhance customer engagement. Founded in 2017 in San Francisco by AI researchers with roots at Caltech and MIT, Tazi combines over 60 years of combined founder experience and 23 patents in AI to deliver adaptive, explainable machine learning solutions.
The platform is designed for business users rather than data scientists, enabling insurance and financial services teams to leverage AI without requiring deep technical expertise. Tazi's patented continuous learning technology allows models to adapt in production as data changes, reducing errors and operational costs. The company emphasizes responsible and explainable AI, providing transparent explanations of how models arrive at their predictions -- eliminating the "black box" problem common in traditional ML approaches.
Tazi has been recognized in over 31 Gartner reports as an Adaptive and Responsible AI vendor, named a Gartner Cool Vendor in Core AI Technologies (2019), received an honorable mention in the Gartner Magic Quadrant for Cloud AI Services Development (2022), and was included in the InsurTech100 list for both 2024 and 2025.
Products & Services
Customer Retention & Churn Prevention
Predictive AI solution that identifies policyholders at risk of churning and recommends personalized retention strategies. The platform incorporates Voice of Customer (VOC) data from all channels including web, mobile, call center, transactions, and social media to provide precise customer segmentation.
Key Features
- Churn probability scoring for individual policyholders
- Optimal timing and channel recommendations for outreach
- Predetermined retention strategies for at-risk segments
- Hyper-personalized product offerings
Target Users: Customer retention teams, marketing teams, agents
Underwriting & Rating
Automated underwriting workflow tool that provides recommended actions for each incoming policy submission. The solution applies real-time risk selection and scores each submission based on the portfolio's profitability and loss metrics.
Key Features
- Real-time risk scoring for policy submissions
- Loss ratio monitoring and management
- Rating model performance tracking
- Continuous model adaptation to changing risk patterns
Target Users: Underwriters, product managers, actuarial teams
Fraud Detection
AI-powered claims fraud identification system that analyzes hundreds of internal and external data points to detect suspicious claims early in the process. The solution replaces random selection and static business rules with dynamic probability scoring.
Key Features
- Analysis of 100+ factors per claim
- Early fraud detection using internal and external data
- Reduced false positives by up to 60%
- Auto-generated compliance documentation and reports
Target Users: Claims adjusters, SIU teams, compliance officers
Cross-Sell & Up-Sell
Predictive tool that enables sales agents to identify policyholders most likely to purchase additional products. Provides customized sales actions for each customer to maximize lead-to-close ratios.
Key Features
- Propensity scoring for additional product purchases
- Personalized sales action recommendations
- Customer micro-segmentation for targeted campaigns
- Real-time lead prioritization
Target Users: Sales agents, marketing teams, distribution managers
Profitability Management
Micro-segmentation solution that identifies profitable and loss-making customer segments, empowering product managers to maintain desired loss ratios and optimize pricing.
Key Features
- Customer profitability micro-segmentation
- Continuous rating model monitoring
- Loss ratio optimization tools
- Advanced pricing models complementing existing structures
Target Users: Product managers, actuaries, pricing teams
At a Glance
- Founded
- 2017
- Headquarters
- San Francisco, CA
- Employees
- 11-50
- Funding
- Seed
Category & Focus
- Category
- Data & Analytics
- Subcategories
- Predictive analytics AutoML Explainable AI Fraud detection
- Insurance Verticals
- P&C Personal P&C Commercial Life & Annuity
- Target Customers
- Carriers, MGAs/MGUs, Reinsurers
Customers
- PEMCO Insurance
- Sompo Seguros (Sompo International subsidiary)
- Groupama
- Allianz
- HDI
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Last updated: 2026-03-25