DGTAL provides a Generative AI platform that automates claims management and underwriting processes in the insurance industry by analyzing both structured and unstructured data. This technology enhances risk assessment, accelerates claims processing, and improves decision-making efficiency for insurers.
Funding
$19M 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.
Founders
Product
Problem
Insurance companies face challenges in efficiently managing claims and underwriting processes due to the need to analyze large volumes of both structured and unstructured data. Traditional methods are often slow, labor-intensive, and prone to errors, leading to increased costs and delayed decision-making.
Solution
DGTAL provides a Generative AI platform designed to automate and augment claims management and underwriting workflows for insurance carriers. The platform leverages AI Agents, proprietary models, and large language models (LLMs) to analyze diverse data sources, including documents, records, and external data. By converting unstructured information into AI-ready data, DGTAL enables insurers to gain insights, simulate outcomes, and make data-driven decisions faster. The platform streamlines tasks such as risk assessment, claims processing, and policy management, freeing up experts to focus on complex activities.
Target Audience
The primary target audience includes insurance carriers, reinsurance companies, insurance brokers, and run-off insurers seeking to improve efficiency and accuracy in their operations through AI-powered automation.
Features
- AI Agents for automating specific insurance tasks, such as claims review and risk assessment
- Capability to analyze unstructured data sources, including documents and records
- Integration with structured data and external sources for comprehensive analysis
- Proprietary AI models fine-tuned for insurance use cases
- Support for deployment on-premises or in the cloud
- Portfolio focus for reviewing details of a large number of cases
- File focus for analyzing the detailed content of case files
- Document focus for extracting specific information from individual documents