Ecosystem Core
Multi-Model AI Orchestration
Route queries dynamically across Claude, GPT, and open LLMs.
Operational Purpose
Ensure your AI features are performant and cost-effective. We design dynamic routing engines that forward tasks to specific LLMs—routing deep reasoning tasks to Claude, fast operations to GPT-4o, and secure local queries to LLaMA. We apply consensus filters to compare outputs, reducing hallucinations.
Key Deliverables
- Dynamic routing systems that evaluate model costs vs accuracy
- Consensus filtering comparing answers from multiple LLM providers
- Fallback logic to route queries during api provider outages
- Tokens-to-cost monitoring logs and usage statistics dashboard