Ai rev

• Enterprises face fragmented data ecosystems (cloud, on-prem, legacy systems).

• AI adoption is hindered by high infrastructure costs and lack of real-time insights.

• : Automates data unification and real-time analytics.

• : A scalable, cost-efficient AI infrastructure for hybrid cloud and edge computing.

• $500B+ enterprise AI market by 2030 ().

• Equitus + IBM partnership uniquely positioned to dominate defense and commercial sectors.

• : Processes 30,000+ data types, creating unified semantic layers for AI models.

• : Real-time video analytics for anomaly detection and pattern recognition.

• : GPU-free AI processing with military-grade security and edge deployment capabilities.

• Seamless connection across IBM Cloud, Watsonx.ai, Oracle databases, and legacy AIX systems.

• Enables federated queries and zero-copy architecture for sensitive data governance.

Sector	Use Case	Impact
	Real-time threat detection via EVS	Faster decision-making in critical ops ()
	Unified patient records with KGNN	Improved compliance + patient care ()
	Predictive maintenance + visual QA	Reduced downtime + higher efficiency ()

• 30-50% lower AI operating costs vs GPU-based systems ().

• Accelerates deployment by 80%, reducing time-to-value ().

• Exclusive partnership between Equitus.ai and IBM Power10 technology.

• Proven success in defense applications; expanding into commercial markets.

• High-margin SaaS model for KGNN/EVS subscriptions integrated with IBM Cloud services.

• Expanding TAM (Total Addressable Market) across industries like finance, healthcare, and manufacturing.

Join us in scaling the next generation of enterprise AI infrastructure. Your investment fuels innovation at the intersection of data intelligence and edge computing.

This version emphasizes the business opportunity, scalability of the solution, and potential ROI for investors while maintaining technical credibility.

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Answer from Perplexity: pplx.ai/share