KOGO AI, a market-defining vendor of Agentic AI infrastructure, and Qualcomm Technologies, Inc., the world leader in AI compute and edge processing, today jointly announced their intent to partner to bring an enterprise-grade, end-to-end private AI stack specifically optimized for secure, compliant, and high-performance deployment.

This collaboration brings together KOGO AI’s modular Agentic Platform that enables enterprises to deploy intelligent agents, fine-tuned models, and compliance-ready workflows all within private or hybrid environments utilizing Qualcomm Cloud AI 100 Ultra accelerators along with Qualcomm AI Inference Suite.

"Private AI is not just a trend it is a paradigm shift in how businesses approach deploying and managing intelligence", noted Raj K Gopalakrishnan, Co-Founder & CEO at KOGO AI. "Our platform on Qualcomm AI inference accelerators provides organizations with full control over the creation, deployment, and management of AI agents and models without compromising innovation or velocity".

Qualcomm Cloud AI 100 Ultra

The Qualcomm Cloud AI 100 Ultra and Qualcomm AI Inference Suite provide the perfect platform for high-performance, scalable large language models (LLMs) and generative AI deployments.

"This partnership meets the increasing need for AI solutions that merge intelligence with autonomy", stated Savi Soin, Senior Vice President and President of Qualcomm India. "Together, we are enabling businesses to build strong AI systems that prioritize data privacy while achieving unparalleled performance at scale on the cloud or on device. With Qualcomm's wide portfolio of products ranging from edge AI to the cloud, we believe the future is private AI", said Savi Soin, Senior Vice President and President, Qualcomm India.

This partnership provides a single stack that encompasses:

AI Agents as a Service: More than 60 pre-trained, no-code agents for use cases such as customer service, claims handling, and research, deployable on APIs, chat platforms, and enterprise applications. 

Models as a Service (MaaS): No-code fine-tuning and deployment of base and specialized models (such as Llama, Claude, Gemini, and others), with complete observability and version control.

Hardware-Accelerated Inference: Qualcomm Cloud AI 100 Ultra is built to accommodate large language models (LLMs) and generative AI. With 128 GB of memory, a single Ultra accelerator accommodates models with up to 70 billion parameters, all in a power-efficient 150W package.

Red Teaming & Compliance: Multi-turn adversarial testing, vulnerability scanning, and regulatory testing to guarantee production-grade resilience and compliance with standards like HIPAA, PCI-DSS, and GDPR.

Targeted Use Cases Across Regulated Industries

The combined stack is designed for scenarios where legacy cloud AI poses risk or latency. Initial deployments target:

• Real-time fraud detection in banking
• Claims automation and risk scoring in insurance
• Clinical decision support and patient engagement in healthcare
• Citizen service portals and policy analytics in government

With deployment options that range from 100% on-prem to hybrid cloud and edge intelligence, the solution guarantees that AI capabilities can be securely extended to field units, embedded systems, and private data centers as well.

Launch and Availability

The private AI platform will be available today to strategic enterprise and public sector partners in an early access program. General availability will be in Q3 2025, with phased rollouts and quarterly feature additions.

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