Made for Insurance
DGTAL uses LLMs and agentic workflows to convert the unstructured content of any insurance document into smart data and increase the efficiencies in claims operations with an AI-powered Co-Pilot called Driller.
Large-Language-Models
OCR & Computer Vision
Data Warehouse
Structured Data
Documents
Inbox Agents
Claim Agents
The key to any AI use is to convert unstructured data
Driller provides AI ready transcripts of all documents combined with thousands of new structured data points.
Claim Agents
Driller uses Agents and LLMs for specific tasks of the claims handling value chain, comparable to how claim agents, auditors and actuaries work together.
Use Cases
Driller supports actuaries, claim agents and auditors in their daily activities such as a due diligence, portfolio audit or the claims review.
Claims Co-pilot
Driller sits side-by-side to the claims agent, automating language-intensive, repetitive tasks thereby freeing up +60% of their time.