Build, test, and deploy models faster.
Fit complex models instantly, version every change, and let AI surface the insights you'd miss.
Overview
Build models in seconds, not hours.
A purpose-built engine for fast iteration. Refit on new data without waiting on compute.
- Deeper insights with generative AI
- Ask questions about your models and let AI agents run experiments while you focus on strategy.
- Complete modeling workflow
- The full modeling lifecycle in one platform, with every step versioned and auditable.
- Scales effortlessly
- Scaling happens automatically, whatever the size of your data. Nothing to set up or tune.
Why Prediction Lab?
Actuaries
choose Prediction Lab
The fastest time-to-insight, so you can decide with confidence.
- Built for power users
- Advanced workflows that don't slow you down, with stakeholders collaborating in real time.
- Designed for insurance professionals
- Built around insurance workflows and regulatory requirements.
- AI that actually understands
- Assistance that knows your models and data, with full transparency and control.
- Enterprise-grade from day one
- Version control, audit trails and stakeholder collaboration, built in rather than bolted on.
Big data? No problem.
Fit a multi-million record model in seconds, on an engine built for very large datasets.
Features
Prediction Lab in action.
Filters
Train
Test
Partitions
Policy Year
Geographical Region
Random Folds
Features
Driver Age
SplineComplete modeling flexibility.
Build models step-by-step with full control, or let our machine-learning automation find optimal structures for you.
Who are the policyholders in the top risk quantile?
The elevated risk in quantile 5 is primarily driven by drivers aged < 25 with at least 1 prior accident. These customers show 45% elevated risk.
Instant insights.
Ask your model anything. Get explanations, identify drivers, and spot opportunities — or have it run experiments on new data sources for you.
Data integration made simple. Coming soon
Connect directly to your data warehouse or cloud storage. Enrich performance with curated external datasets from our expanding marketplace.
Data Sources
Google BigQuery
Snowflake
Amazon S3
PostgreSQL
Microsoft Azure
Google Sheets
Data Providers
US Census Bureau
NOAA
Spot the relationships in your data.
Brush a range in one column to see how it distributes across another.
Correlation Analysis
vehicle_power
driver_age
AI-enhanced reporting.
Coming soonCreate compelling presentations without leaving the platform. AI helps stakeholders understand and explore your models.
| Presentation | Shared |
|---|---|
| Pricing Model (2025) | JDSMAL |
| Underwriting Model (2025) | MKRL |
| Claims Model (2025) | TCNPDS |
| Retention Model | KW |
| Lifetime Value Model | BPEH |
Streamlined model review.
Purpose-built review workflows for modeling teams. Complete model context, validation outputs, and business impact analysis in one collaborative interface — no more fragmented feedback.
Auto Pricing Model Review
Enterprise ready
Built for enterprise insurance.
From data ingestion to deployment, one suite for building predictive models at scale.
- Security and compliance
- Data isolation and privacy by design, with full audit trails and access management.
- Unlimited scale
- A distributed architecture that handles billions of records without slowing down.
- Seamless integration
- Import from any data source, and host deployments behind API endpoints.
- White-glove support
- Dedicated customer success, from implementation through ongoing training.
Enterprise pricing designed for your needs.
We work with each client to create pricing that scales with your usage and delivers a clear return on investment. Most implementations pay for themselves within the first model cycle.
Ready to transform your modeling process?
See how leading insurers are building better models faster with AI-powered workflows designed specifically for insurance professionals.