Project Info
- Address 1401, 21st Street STE R4569, California
Enterprise-LLM: Custom, Secure Large Language Models for Corporate Innovation
Enterprise-LLM is a highly specialized AI solution offering custom-built or meticulously fine-tuned Large Language Models (LLMs) dedicated exclusively to the needs of major corporations. Unlike public LLM services, our solution prioritizes data security, compliance, and domain-specific accuracy. By operating within secure corporate infrastructure or private cloud environments, Enterprise-LLM enables complex tasks such as internal code generation, advanced data summarization, and customized customer service automation, ensuring the power of generative AI is deployed safely and strategically across the organization.
Background
The rise of public-facing LLMs proved the immense potential of generative AI, but it also exposed severe limitations for large enterprises: concerns over data leakage, regulatory compliance (e.g., GDPR, HIPAA), and unpredictable general-purpose model output.
Enterprise-LLM was conceived to resolve this dilemma. We sought to decouple the powerful AI core from the public internet, offering clients the full transformative capabilities of a dedicated LLM—including training on their proprietary data—all while maintaining the strict security and governance standards required for high-stakes business operations.
The Challenges
Deploying and maintaining a dedicated, high-performing LLM within a private corporate environment involves significant technical complexity and cost, especially for a small product team to manage.
Key challenges:
- Cost-Effective Model Fine-Tuning & Maintenance
- Establishing Secure Isolation (Air-Gapped Ops)
- Ensuring Compliance and Auditability
The Solution
Our team leveraged expertise in distributed computing and model quantization to make cutting-edge LLMs feasible and cost-effective for private deployment.
By creating a standardized deployment container and focusing on compliance-ready logging, we built an architecture that is simultaneously powerful, secure, and easily auditable, mitigating the key risks of enterprise AI adoption.
Key solutions:
- Custom Model Fine-Tuning Framework
- Private/Hybrid Cloud Deployment Templates
- Compliance-Ready Logging and Audit Trail