Shaffra’s Market Expansion with a Private-Secure LLM 

Deployed a secure, scalable Llama 3.2 AI system, overcoming compliance challenges and enabling cost-efficient expansion into high-compliance government and enterprise markets.​

Shaffra, a pioneer in AI-driven workforce solutions and metaverse innovation, partnered with Kmeleon to expand into government and enterprise markets. To meet stringent compliance and security requirements, they transitioned from OpenAI to a private, scalable LLM deployed on Google Cloud’s secure infrastructure. This shift enabled Shaffra to enhance data sovereignty, reduce costs, and position itself as a leader in high-compliance AI solutions.

RESULTS

30% Less operational cost​

Deployed in under a month​

Sub-100ms response time​

Challenges:

Shaffra encountered several challenges in its pursuit of a high-compliance market expansion. Ensuring adherence to government and corporate regulations was non-negotiable, as was achieving optimal performance while safeguarding sensitive data. Their reliance on OpenAI’s infrastructure limited their control over AI processes and exposed potential vulnerabilities. 

The migration to a private LLM was critical. Choosing the ideal model and architecture that would balance scalability, security, and performance required precise decision-making. At the same time, ensuring continuity of operations during the transition was essential. With tight timeframes and escalating operational costs, Shaffra needed a comprehensive, efficient solution to address these obstacles while maintaining business momentum. 

  • Architecture Selection: Identifying the best infrastructure and LLM model. 

  • Data Privacy: Ensuring compliance with government and corporate regulations. 

  • Seamless Transition: Replacing OpenAI with a private LLM without disrupting operations. 

  • Cost and Performance: Balancing performance improvements with budget constraints. 

Our Strategic Approach 

Kmeleon worked closely with Shaffra to design and deploy Llama 3.2 70B on Google Cloud’s secure infrastructure, ensuring full compliance with strict data privacy and sovereignty regulations. To facilitate a seamless transition from OpenAI, Kmeleon developed a custom middleware layer that replicated key assistant functionalities while introducing enhanced capabilities. This allowed Shaffra to maintain existing workflows while benefiting from a more secure and scalable AI system.

The new AI ecosystem was built for enterprise-grade performance, incorporating advanced encryption, role-based access controls, and detailed audit trails to safeguard sensitive data. Designed for high-volume efficiency, it supports thousands of concurrent users with response times under 100 milliseconds. Through close collaboration, Kmeleon ensured the solution met Shaffra’s operational needs, enabling them to scale confidently in high-compliance markets.

  • Custom LLM Deployment 

  • Middleware Development 

  • Enterprise-Grade Scalability 

Results and Impact

The deployment of Llama 3.2 70B restructure Shaffra’s operations. Within just four weeks, the private LLM was operational, providing Shaffra with an enterprise-ready AI system designed to meet the exacting standards of government and corporate clients. The new system enhanced performance, delivering lightning-fast responses with zero downtime. Shaffra’s enhanced AI capabilities positioned them as a trusted provider for high-compliance markets, unlocking new growth opportunities. 

  • Rapid Deployment: The private LLM was deployed in under a month. 

  • Performance Gains: Achieved sub-100ms response times with zero downtime. 

  • Strategic Positioning: Enabled Shaffra to confidently serve high-compliance markets. 

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