
ELLY: The Enterprise AI Orchestration Layer
ELLY is a cloud-native AI orchestration layer that simplifies LLM routing, evaluation, and cost management—ensuring enterprises use the right model for the right job.
-
Smart LLM Routing & Selection
-
Automatically classifies prompts and directs them to the optimal model—balancing performance, quality, and cost.
-
-
Advanced Model Evaluation & Real-Time Adaptation
-
Applies rigorous testing beyond public benchmarks to deeply challenge LLMs. ELLY blends these results with public benchmarks, ensuring up-to-date model rankings in a rapidly evolving market.
-
-
Dynamic Cost Optimization
-
Routes simple prompts to low-cost models while sending complex ones to top-tier LLMs, ensuring enterprises pay for premium models only when needed.
-
-
Multi-Vendor Flexibility & Automated Failover
-
Integrates proprietary and open-source models to prevent vendor lock-in. When a model goes offline, ELLY seamlessly redirects requests to the next-best available provider, maintaining uptime and continuity.
-

Where ELLY Fits in Your Business Application Stack
ELLY sits between your business applications and Large Language Models (LLMs), acting as an LLM orchestration layer. Developers store their API keys in ELLY’s secure vault, configure application-specific profiles to balance quality and cost, and integrate a single Alkitech API key—streamlining LLM usage management within their stack.

Market Instability
The rapid evolution of AI models and vendor lock-in risks make it difficult for enterprises to maintain stability and flexibility in their AI deployments.
.png)
Significant Cost Exposure
Risings API costs, unpredictable pricing, and high development overhead create financial uncertainty and scalability challenges for enterprise AI adoption.

Resiliency Gaps to Enterprise Standards
AI models often struggle with reliability under load, leading to inconsistent performance, downtime risks, and failure to meet enterprise SLAs.