Figure Technology Solutions Partners With Agora Data to Bring AI Auto Finance to Figure Connect

Reuters
Feb 27
<a href="https://laohu8.com/S/FIGR">Figure Technology Solutions</a> Partners With <a href="https://laohu8.com/S/API">Agora</a> Data to Bring AI Auto Finance to Figure Connect

Figure Technology Solutions Inc. has entered a strategic partnership with Agora Data to bring AI-driven auto finance assets onto the Figure Connect Marketplace and into its Democratized Prime decentralized lending marketplace. Under the arrangement, Agora will continue originating auto loans while Figure conducts AI-enabled quality control, tokenizes loan data on the Provenance Blockchain, and provides access to warehouse funding, whole loan sales, and securitization.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Figure Technology Solutions Inc. published the original content used to generate this news brief via GlobeNewswire (Ref. ID: 202602261615PRIMZONEFULLFEED9662516) on February 26, 2026, and is solely responsible for the information contained therein.

At the request of the copyright holder, you need to log in to view this content

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Most Discussed

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10