US Edition
Published • loading... • Updated
Dark Matter Technologies Introduces Ask Aiva, an AI Assistant Embedded in the Empower LOS
The assistant lets lenders query origination data in plain language and see how answers were derived.
- On Wednesday, April 1, 2026, Dark Matter Technologies launched Ask Aiva, a conversational AI assistant natively embedded within the Empower loan origination system that allows lenders to query their origination environment in plain language.
- Unlike previous AI tools that act as "bolt-ons," which require users to leave core systems, the platform provides clear visibility into how outputs are generated to address common industry challenges regarding data transparency.
- Ask Aiva distinguishes itself by providing users the ability to click directly into the data source, offering lenders the ability to trace every answer back to its original source within the system.
- Dark Matter Technologies CEO Dugan said the company built the assistant to enable users to ask questions of their origination environment, providing instant answers while showing how those answers were derived.
- Future releases will expand the capabilities of Ask Aiva as the technology continues to evolve, including additional lender-specific content sources and the ability to answer increasingly complex operational questions.
Insights by Ground AI
12 Articles
12 Articles
Cambridge Launches AI-Assistant for Advisors and Associates Staff
The Fairfield, Iowa-based wealth management firm, Cambridge Investment Research, recently launched Indy, its proprietary AI-powered chat assistant, it announced in a press release. “Indy,” which is short for Independence, was “designed to transform how advisors and associates access information and complete tasks.” Trained using Cambridge-specific knowledge, Indy can provide users with accurate, instant answers to straightforward and complex que…
Coverage Details
Total News Sources12
Leaning Left2Leaning Right2Center5Last UpdatedBias Distribution56% Center
Bias Distribution
- 56% of the sources are Center
56% Center
L 22%
C 56%
R 22%
Factuality
To view factuality data please Upgrade to Premium
