CXApp Inc. (NASDAQ:CXAI)'s Scalable AI Analytics Platform Showcased in Google Cloud Looker Customer Case Study
CXAI Demonstrates Repeatable Enterprise Deployment Model and Margin Expansion as AI Platform Adoption Accelerates

The case study, released in conjunction with Google Cloud Next 2026 in
This milestone represents a significant step in CXAI's evolution toward a high-margin, AI-driven analytics platform model, enabling the Company to scale deployments across enterprise clients without proportional increases in cost or implementation resources, while accelerating revenue realization across its customer base.
Enterprise Impact
Through its integration with Google
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Established a repeatable enterprise deployment model, supporting scalable analytics adoption across enterprise customers
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Accelerated onboarding timelines, enabling faster enterprise rollouts and revenue realization
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Automated manual reporting workflows, reducing reporting time from hours to a one-click process and improving operating leverage
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Simplified infrastructure, eliminating redundant data layers and improving cost efficiency
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Enabled real-time, AI-driven operational insights, supporting proactive decision-making across workplace and facilities operations
Revenue and Margin Expansion
This architecture enables CXAI to:
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Expand wallet share across its enterprise customer base
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Improve customer retention through deeper data integration
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Increase platform adoption across multiple enterprise use cases
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Build a more predictable and scalable recurring revenue model
Google Cloud Validation
"CXAI's approach to embedding Looker as a scalable, API-first data layer across their entire client base is a differentiated example of how LookML and the Looker API can deliver real-time insights at enterprise scale. As we continue to bring Gemini capabilities into the Looker ecosystem, partners like CXAI are leading the way in demonstrating how AI can fundamentally transform analytics through conversational interfaces,"
said
"Being featured in a
"By standardizing on Looker as our data layer, we've created a repeatable deployment model that allows us to scale efficiently across enterprise customers while improving margins and accelerating revenue growth. This is a key step in positioning CXAI as a category leader in AI-driven workplace intelligence."
Forward Strategy
CXAI is expanding its platform capabilities with conversational analytics, enabling enterprise users to interact with workplace data through natural language queries. As
The Company continues to build a pipeline of enterprise deployments leveraging this standardized architecture, supporting its strategy to drive scalable, recurring revenue growth.
Google Looker x CXAI Case Study.
About
CXAI's customers include major Fortune 1000 Global Companies in the technology, financial services, consumer, healthcare, and media entertainment verticals.
CONTACT:
marketing@cxapp.com
Forward-Looking Statements
This press release includes "forward-looking statements" within the meaning of the "safe harbor" provisions of the Private Securities Litigation Reform Act of 1995. The expectations, estimates, and projections of the Company may differ from its actual results and consequently, you should not rely on these forward-looking statements as predictions of future events. Words such as "expect," "estimate," "project," "budget," "forecast," "anticipate," "intend," "plan," "may," "will," "could," "should," "believes," "predicts," "potential," "continue," or the negative or other variations thereof and similar expressions are intended to identify such forward looking statements. These forward-looking statements include, without limitation, expectations with respect to future performance of the Company, including projected financial information (which is not audited or reviewed by the Company's auditors), and the future plans, operations and opportunities for the Company and other statements that are not historical facts. These statements are based on the current expectations of the Company's management and are not predictions of actual performance. These forward-looking statements involve significant risks and uncertainties that could cause the actual results to differ materially from the expected results. Factors that may cause such differences include, but are not limited to: the impact of the COVID-19 pandemic on our business, operations, results of operations and financial condition, including liquidity for the foreseeable future; the demand for the Company's services together with the possibility that the Company may be adversely affected by other economic, business, and/or competitive factors or changes in the business environment in which the Company operates; changes in consumer preferences or the market for the Company's services; changes in applicable laws or regulations; the availability or competition for opportunities for expansion of the Company's business; difficulties of managing growth profitably; the loss of one or more members of the Company's management team; loss of a major customer and other risks and uncertainties included from time to time in the Company's reports (including all amendments to those reports) filed with the
SOURCE:
press release