Continuity
AI-powered underwriting platform for commercial and professional P&C insurance
Overview
Continuity is an underwriting technology platform for commercial and professional Property & Casualty insurance, serving carriers, MGAs, and insurers across European markets. The platform combines a proprietary data layer with AI-driven tooling to help underwriters assess risk, manage portfolios, and accelerate day-to-day decisions.
The system delivers four integrated capabilities: a subscription assistant that structures risk analysis at the point of underwriting, a portfolio monitoring module (SCAN) that continuously checks in-force contracts against their original risk profiles, a risk intelligence layer that unifies data inputs for comprehensive scoring, and a core data platform that centralizes underwriting data for straight-through processing. Modules are delivered as enterprise SaaS with no IT integration required for core functionality; deeper connectivity is available via platform API.
Founded in 2019 in Paris with 7 years of prior R&D investment, Continuity has raised EUR 15 million in total funding and reports more than 700 active users, 1 million-plus contracts under management, and EUR 5 billion in premiums covered across its client base. Customers include AXA France, Groupama, MACIF, Hiscox, Wakam, Credit Agricole, Abeille Assurances, Swiss Life, Sada Assurances, and Axeria. In March 2026, AXA France renewed its multi-year partnership for professional and commercial underwriting teams.
Products & Services
Subscription Assistant
An AI underwriting assistant that structures and accelerates risk analysis at the point of contract evaluation. Underwriters receive guided workflows that improve consistency and reduce decision timelines from days to minutes.
Key Features
- AI-guided risk identification and classification
- Structured underwriting workflow for commercial and professional P&C lines
- 15 AI models in production supporting decision logic
Target Users: Commercial and professional P&C underwriters at carriers and MGAs
Portfolio Monitoring (SCAN)
A proactive monitoring module that tracks in-force contracts throughout their lifecycle. It identifies policies that have changed materially since inception or no longer match their original risk profile, enabling teams to cancel, reprice, or apply loss-control measures.
Key Features
- Automated anomaly detection across large policy portfolios
- Contract drift detection against original risk profile
- Deployment with no IT integration required
Target Users: Portfolio managers and underwriting teams at carriers
Risk Intelligence Platform
A data management and risk-scoring layer that centralizes underwriting data and delivers unified views for assessment. Supports straight-through processing and continuous underwriting through regularly refreshed, historically preserved data records.
Key Features
- Proprietary database with open data integration
- Machine learning risk-scoring algorithm implementation
- Continuous data updates with historical record preservation
Target Users: Underwriters, data and analytics teams at carriers
Core Data Platform
The foundational data layer that aggregates and structures enterprise underwriting inputs. Enables API-driven connectivity for deep platform integrations while maintaining data consistency across modules.
Key Features
- Centralized underwriting data management
- API connectivity for enterprise system integrations
- Support for real-time and batch data workflows
Target Users: IT, data engineering, and underwriting operations teams at carriers
At a Glance
- Founded
- 2019
- Headquarters
- Paris, France
- Employees
- 51-200
- Funding
- Series A
Category & Focus
- Category
- Underwriting & Risk
- Subcategories
- Underwriting Workbench Portfolio Monitoring Risk Scoring AI Underwriting Assistance
- Insurance Verticals
- P&C Commercial Specialty/E&S
- Target Customers
- Carriers, MGAs/MGUs
Customers
- AXA France
- Groupama
- MACIF
- Credit Agricole
- Hiscox
- Wakam
- Abeille Assurances
- Swiss Life
- Sada Assurances
- Axeria
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Last updated: 2026-05-17