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KOGO AI and Qualcomm Partner to Launch Enterprise-Grade Private AI Stack for Secure, Compliant Deployments

KOGO AI, a trailblazer in Agentic AI infrastructure, has joined forces with Qualcomm Technologies, Inc., a global leader in AI compute and edge processing, to develop and deliver a fully integrated, enterprise-grade private AI stack. This collaboration is designed to support secure, compliant, and high-performance AI deployments across cloud, edge, and hybrid environments.

KOGO’s Agentic Platform Meets Qualcomm’s AI Compute Excellence

At the core of the partnership is the integration of KOGO AI’s modular Agentic Platform with Qualcomm® Cloud AI 100 Ultra accelerators and the Qualcomm® AI Inference Suite. The platform enables enterprises to launch intelligent agents, fine-tune LLMs, and orchestrate AI workflows—all while maintaining strict control over data and compliance requirements.

“Private AI Is a Paradigm Shift,” Says KOGO CEO

“Private AI is more than a trend—it is a fundamental shift in how enterprises think about deploying and governing intelligence,” said Raj K Gopalakrishnan, Co-Founder & CEO at KOGO AI. “Our platform running on Qualcomm AI inference accelerators  gives organizations complete control over how AI agents and models are created, deployed, and monitored—without sacrificing innovation or speed.”

Qualcomm Cloud AI 100 Ultra: Built for High-Performance AI

The Qualcomm Cloud AI 100 Ultra accelerator and its accompanying AI Inference Suite are purpose-built for running large-scale AI models. With 128 GB of memory and the capability to support LLMs with up to 70 billion parameters—all within a power-efficient 150W envelope—the Ultra series delivers best-in-class performance for generative AI and large language model inference.

“This collaboration addresses the growing demand for AI solutions that combine intelligence with autonomy,” said Savi Soin, Senior Vice President and President of Qualcomm India. “Together, we are empowering enterprises to create robust AI systems that respect data privacy while delivering exceptional performance at scale—whether on the cloud or on device. With Qualcomm’s extensive product range spanning from edge AI to the cloud, we believe the future lies in private AI”, said Savi Soin, Senior Vice President and President, Qualcomm India.

A Unified, Scalable Private AI Stack for Enterprise Use

The collaboration introduces a comprehensive stack that supports the full lifecycle of enterprise AI deployment:

  • AI Agents as a Service: Offers over 60 no-code, pre-built agents ready for deployment across enterprise applications, including customer service, research, and claims processing.
  • Models as a Service (MaaS): Enables no-code fine-tuning and management of leading foundation models such as Llama, Claude, and Gemini with version control and observability.
  • Hardware-Accelerated Inference: Powered by Qualcomm’s Cloud AI 100 Ultra for ultra-efficient, scalable inference on large models.
  • Red Teaming & Compliance: Built-in tools for adversarial testing, vulnerability scanning, and regulatory compliance aligned with HIPAA, PCI-DSS, and GDPR standards.

Purpose-Built for Regulated and Latency-Sensitive Environments

The joint AI stack targets sectors where data sensitivity and compliance are non-negotiable. Initial use cases include:

  • Real-time fraud detection for banking and fintech
  • Claims automation and risk scoring for insurance providers
  • Clinical decision support and patient engagement tools for healthcare systems
  • Citizen service platforms and policy analytics for government agencies

Deployment Flexibility from Cloud to Edge

KOGO AI and Qualcomm’s private AI stack can be deployed in various configurations, including 100% on-premise, hybrid cloud, and edge-based models. This ensures maximum flexibility for enterprises that need to extend AI capabilities to private data centers, embedded systems, or field units—all while preserving performance and data sovereignty.

Launch Timeline and Availability

The platform is now available through an early access program for select enterprise and public sector partners. General availability is expected in Q3 2025, with additional feature rollouts scheduled on a quarterly basis.

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Prateek Harshwal
Prateek Harshwal
Tech Journalist – Public Relations – Corporate Communications – Digital Marketing

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