From Model Sprawl to a Centralized Hub

As AI adoption grows, most companies end up with a chaotic mess of disconnected models, inconsistent security, and runaway GPU costs. The Enterprise AI Hub is designed to solve this problem by providing a single, intelligent entry point for all LLM inference traffic.

Built on our AgentOps Framework, the AI Hub is a sophisticated LLM Gateway that allows you to manage your entire model portfolio as a clean, reliable, and efficient service.

Core Capabilities

• Intelligent Routing & Load Balancing: The Hub is “LLM-aware.” It routes requests based on real-time metrics like KV cache warmth and queue size, dramatically improving performance and reducing costs.

• Multi-Model Serving: Seamlessly serve dozens of open-source and fine-tuned models (like Llama3, Qwen3, and Gemma) through a single API endpoint.

• Unified API for Developers: Provide your teams with a standardized, OpenAI-compatible API, regardless of the model being served. This simplifies development and accelerates innovation.

• Centralized Security & Governance: Enforce consistent authentication, rate limiting, and audit logging for all AI traffic across the organization.

• Cost & Performance Observability: Use pre-built Grafana and Langfuse dashboards to monitor GPU utilization, cost-per-query, and token usage, giving you complete control over your AI spend.

The Enterprise AI Hub turns your AI infrastructure from a bottleneck into a strategic asset, enabling you to scale with confidence.