Verikai utilizes machine learning and alternative data to enhance risk assessment in insurance underwriting by providing precise insights into group health risks. Their solutions integrate medical, pharmaceutical, and lifestyle data to improve decision-making and operational efficiency for insurers.
Funding
$6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MGFounders
Product
Problem
Traditional insurance underwriting processes often rely on incomplete or outdated data, leading to inaccurate risk assessments and potentially adverse outcomes for both insurers and insured parties. Identifying and quantifying group health risks accurately is challenging due to the complexity and volume of available data.
Solution
Verikai provides AI-powered risk assessment solutions that leverage machine learning and alternative data sources to enhance the accuracy and efficiency of insurance underwriting. By integrating medical, pharmaceutical, lifestyle, and social determinants of health (SDoH) data, Verikai's platform delivers comprehensive insights into group health risks. The platform's models help insurers make data-driven decisions, optimize operational efficiency, and reduce turnaround times for quoting and underwriting. Verikai's solutions offer a holistic approach to risk analysis, enabling insurers to identify costly conditions and hidden risk factors.
Target Audience
Verikai's primary customers are insurance carriers focused on group health, stop loss, and fully insured markets, as well as other organizations involved in risk assessment and management.
Features
- **Capture:** Provides instant insights into group-level risk using lifestyle datasets and high-cost propensity models.
- **CaptureHealth:** Delivers claims-focused insights using de-identified individual medical histories and scores to determine risk.
- **Capture360:** Offers comprehensive risk insights by integrating medical, pharmaceutical, SDoH, and lifestyle data.
- Seamless API integration into existing underwriting systems.
- AI and machine learning models for precision risk analysis.