Omni:us

Omni:us is a Berlin-based artificial intelligence (AI) company founded in 2015 that specializes in automating insurance claims processing for the property and casualty (P&C) and health insurance sectors. The company was co-founded by Sofie Quidenus-Wahlforss, Martin Micko, Eric Pfarl, and Harald Gölles. Quidenus-Wahlforss, the CEO, is a serial entrepreneur who previously founded a robotics and digitization company and holds a patent for Vshape scanner technology. Her experience with digitizing vast amounts of data led to the creation of omni:us, which focuses on transforming unstructured data from claims documents into structured, actionable information.

The company's core offering is the Digital Claims Adjuster, a platform that uses AI and machine learning to manage the entire claims lifecycle, from First Notice of Loss (FNOL) to settlement. This technology is designed to integrate seamlessly with existing insurance core systems, including legacy applications. By reading and analyzing various documents, including handwritten ones, the platform extracts and validates data, checks for completeness and coverage, and automates decisions. This automation can handle a significant percentage of claims from end-to-end without human intervention, with the platform providing actionable recommendations for more complex cases. The goal is to reduce manual processing, which can decrease operational costs by up to 35%, minimize claims leakage, and improve the speed and transparency of claims settlements, ultimately enhancing customer satisfaction.

Omni:us operates on an Artificial Intelligence as a Service (AIaaS) business model, providing its cognitive solutions to insurance carriers. Its client roster includes major international insurance companies like Allianz, Baloise, and AmTrust. The company has a significant partner network with consulting and integration firms such as Deloitte, EY, KPMG, and technology giants like Microsoft and AWS to facilitate deployment and integration. Since its inception, omni:us has raised a total of approximately $52.7 million in funding over several rounds. These funds have been used to fuel its product development and support its expansion into international markets, particularly the United States.

Keywords: insurance automation, claims processing, artificial intelligence, insurtech, machine learning, data extraction, cognitive document understanding, property and casualty insurance, digital claims adjuster, claims management, FNOL, end-to-end automation, claims leakage reduction, AI as a Service, insurance technology, claims settlement, risk mitigation, process automation, unstructured data analysis, policy administration, insurance operations, workflow automation, legacy systems integration, customer experience, operational efficiency, fraud detection, claims validation, document processing