Real Estate

Keller Williams integrates new AI tech from CognitiveScale

Keller Williams is putting increased effort into its AI R&D efforts to improve agent experience

Keller Williams is continuing to add new technologies to help its real estate agents succeed, announcing recently that it is teaming up with CognitiveScale to bolster KW's artificial intelligence infrastructure.

“As KW agents increasingly use Keller Cloud apps, the AI platform will learn from their interactions and subsequently offer intelligent decision support and recommendations to strengthen agent service to consumers. For example, as our agents write offer contracts, they will be advised as to the strength of their offer and how to further strengthen it. Additionally, KW agents will be provided hyper local market analysis, enabling them to best advise clients on the sale or purchase of a home,” Keller Williams Chief Product Officer Neil Dholakia said in a statement.

KW will use CognitiveScale’s Cortex5 software to speed up its implementation of AI. The company will maintain its own research in parallel with the integration of Cortex5, according to its release.

CognitiveScale’s Cortex5 software is being used by big names like USAA, Morgan Stanley, NBC, JPMorgan Chase, among others and is backed by funding from Norwest Venture Partners, Intel Capital, IBM Watson, M12 and USAA.

“We are excited to be working with a leader like Keller Williams to drive data and AI-powered intelligent user experiences and business processes,” CognitiveScale Chief Customer Officer Nij Chawla said in a statement.

“We share their enthusiasm for making every agent their best agent and look forward to helping Keller Williams build on their data advantage and provide valuable insights to their team through Cortex5,” he added.

KW hopes leveraging this new tech will increase the clip of research and development and improve its agents’ workflows.

“Keller Williams has 35 years of rich, complex real estate data. We will use CognitiveScale’s AI platform to harness our data to surface more insights for our teams and to accelerate innovation,” Dholakia said.

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