Overview
Seenity is an MLOps data platform for the insurance industry, enabling carriers and financial institutions to build, monitor, and deploy real-time risk models. The platform is purpose-built for insurance risk assessment, automating the collection, enrichment, and analysis of external data to continuously update risk scores at the point of underwriting and throughout claims handling.
The platform is delivered as an end-to-end solution built around four core capabilities: real-time data collection and enrichment, rule-based insight processing, AI-powered simulation, and real-time prediction delivery. Clients maintain control at each stage, while the AI engine adapts continuously using live environmental data.
Seenity launched in 2020 and raised a total of approximately USD 21.5M across pre-seed and Series A rounds. The company has deployed its platform with four large insurance clients in Israel and has since opened offices in New York and London to support expansion into North American and UK markets.
Products & Services
Seenity Platform
An end-to-end MLOps platform that integrates external real-world data into insurance core processes for continuous risk scoring and simulation.
Key Features
- Real-time data collection and enrichment from external sources
- Rule-based insight processing tailored to individual client configurations
- AI simulation engine to validate model impact before deployment
- Real-time prediction delivery for underwriting and claims decisions
- Integration with core insurance systems
Target Users: Insurance carriers and financial institutions requiring automated, data-driven risk assessment
At a Glance
- Founded
- 2020
- Headquarters
- Netanya, Israel
- Employees
- 11-50
- Funding
- Series A
Category & Focus
- Category
- Underwriting & Risk
- Subcategories
- Risk Scoring Predictive Analytics MLOps Data Enrichment
- Insurance Verticals
- P&C Commercial Specialty/E&S P&C Personal
- Target Customers
- Carriers
Customers
- Four large insurance carriers in Israel (undisclosed)
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Last updated: 2026-05-18