HOUSTON, TX (May 23, 2017) Ontellus, a newly-branded company formerly known as Keais Records Retrieval, has created the largest pure-play, nationwide data retrieval provider for the insurance and legal claims industry. Seven recent acquisitions and today’s rebranding advance Ontellus’ strategic vision to efficiently accelerate and optimize record analysis for empowered decision making.
With more than 500 employees nationwide, the new Ontellus delivers broader geographic record retrieval capabilities, expanded services and advanced technologies to its customer base of insurance carriers, self-insured companies and law firms handling insurance claims. The acquired companies include: Second Image National, Legal Partners, RSP & Associates, Quest Discovery Services, National Document Services, American Medical Forensic Specialists and Aboingo.
“As Ontellus prepares to launch new solutions and services that will provide greater efficiency and insightful analysis to the claims industry, we are excited to rebrand our organization and join forces with other highly-respected record retrieval companies,” said Newton Ross, Chief Executive Officer of Ontellus.
“On the ground and in the cloud, Ontellus is revolutionizing the antiquated, manual process of record retrieval and claims strategy, which up to now has lacked technical focus. Strategic ground is gained – not simply by what data is gathered, but in how it is delivered. That is why Ontellus is leveraging cutting-edge technology and best practices to develop proprietary retrieval and optimization solutions for the claims industry,” Ross noted.
“The result is a higher level of data intelligence – accurate, organized and insightful – that empowers Ontellus’ clients to reduce cycle times, improve settlement outcomes and accelerate case resolution.”
On the information security front, Ontellus leads the record retrieval industry by adhering to SOC2’s exacting policies and procedures set forth for the security, availability, processing, integrity and confidentiality of customer data.