DataCave designs actuarial engines, risk & finance models, and AI-assisted workflows for insurance companies and actuarial teams — built by practitioners, delivered with production-ready technology. We help insurers, reinsurers, and actuarial offices move faster and more confidently: from loss triangles and reserving methodologies to custom actuarial logic built for real portfolios. Our models align underwriting risk, actuarial results, and financial outcomes — supporting pricing, reserving, and management decisions across the business. Our AI-assisted workflows also automate reporting, surface insights, and enable "talk to your data" capabilities for risk, finance, and actuarial teams alike. Whether you're an insurance company modernizing your risk and pricing decisions, or an actuarial team looking to move beyond spreadsheets
| Website | http://www.data-cave.net |
| Revenue | $3 million |
| Employees | 6 (6 on RocketReach) |
| Founded | 2017 |
| Technologies |
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| Industry | IT Services and IT Consulting, Business Services General, Business Services |
| Keywords | Business Intelligence, Data Engineering, Data Consulting, Data Science, Data Analysis, Data Strategy, Strategic Growth, Predictive Modeling, Advanced Analytics, Data Solutions, Business Problems, Machine Learning, Data Transformation, Data Driven Insights, Anomaly Detection, Problem Solving, Complex Data, Big Data, High Volume Data |
| Competitors | Amazon, Microsoft, IBM, Google, Oracle, Alibaba Cloud, DigitalOcean, Vultr, Heroku, Red Kubes, the creators of Otomi +44 more (view full list) |
| SIC | SIC Code 737 Companies, SIC Code 73 Companies |
| NAICS | NAICS Code 51 Companies, NAICS Code 518 Companies |
Looking for a particular Data-Cave employee's phone or email?
The Data-Cave annual revenue was $3 million in 2026.
6 people are employed at Data-Cave.
The NAICS codes for Data-Cave are [51, 518].
The SIC codes for Data-Cave are [737, 73].