
Multi-LLM Orchestration
Use Claude, Gemini, and GPT together — intelligent routing sends each task to the best model, with automatic failover and cost optimization built in.
3+
LLM Providers
High
Availability via Failover
Up to 60%
Cost Reduction
Best
Model Per Task
Locked into one AI provider is a liability
Single-vendor AI means you're stuck with one model's strengths and weaknesses. When that model degrades, hallucinates, or increases pricing, you have no fallback.
Multi-LLM gives you options. The right model for the right task, automatic failover when providers have issues, and the leverage to negotiate pricing because you're never locked in.

Three models, one orchestration layer
Each model has distinct strengths. We route tasks to the model that handles them best — so you get better results at lower cost.
Claude (Anthropic)
Best for
Long-form analysis, complex reasoning, document understanding, safety-critical tasks.
Used for
Meeting summaries, proposal drafting, compliance reviews.
Gemini (Google)
Best for
Data analysis, structured extraction, multi-modal understanding, search-grounded responses.
Used for
CRM data analysis, market research, competitive intelligence.
GPT (OpenAI)
Best for
Creative content, conversational AI, code generation, broad general knowledge.
Used for
Email drafting, chatbots, content generation.
Everything you need to run multiple models in production
From intelligent routing to compliance logging, the orchestration layer handles the complexity so your team doesn't have to.
Intelligent Routing
Each task is automatically sent to the best model based on type, complexity, and cost. Your team doesn’t need to know which model is working.
Automatic Failover
If one provider goes down, requests automatically route to the next best model. Zero downtime, zero intervention.
Cost Optimization
Simple tasks use cheaper models. Complex tasks use powerful ones. You stop overpaying for AI by matching cost to complexity.
Unified API Layer
One API, multiple models. Your applications don’t care which model responds — they get consistent, structured output every time.
Evaluation & Testing
We continuously benchmark models against your specific use cases to ensure you’re using the best option as models improve.
Compliance & Logging
Every request and response is logged with model, latency, cost, and quality metrics. Full audit trail for regulated industries.
How we implement multi-LLM orchestration
From inventory to optimization, we build the routing layer that makes multiple models work as one.
AI Inventory
We catalog your current AI usage and planned use cases. What models are you using? What tasks do they handle?
Architecture Design
We design the routing layer, failover strategy, and cost model. You approve the approach before we build.
Implementation
We build the orchestration layer, integrate with your systems, and validate with real traffic.
Optimize & Scale
We monitor model performance, adjust routing rules, and add new models as the landscape evolves.

Challenge
Company was routing all AI tasks through GPT-4, paying premium pricing for tasks that didn’t need premium capability. No fallback when OpenAI had outages.
Solution
Implemented multi-LLM orchestration: simple classification tasks routed to Haiku, analysis to Claude Sonnet, creative content to GPT-4. Added Gemini as failover for all routes.
Result
AI costs dropped 58% without quality loss. System maintained full uptime during two major provider outages. Response latency improved 34% by using faster models for simple tasks.
Common questions about multi-LLM
Everything you need to know about running multiple AI models in production.
Talk to Us About Multi-LLMThe “best” model depends on the task. Claude excels at reasoning and safety. GPT excels at creative content. Gemini excels at structured data. Using one model for everything means you’re paying premium prices for tasks that don’t need premium capability, and you’re getting worse results for tasks that don’t match that model’s strengths.
Pair multi-LLM with these services
AI Agents
Pair multi-LLM orchestration with autonomous agents that work inside HubSpot to automate complex tasks.
Learn moreRAG & Knowledge
Ground your multi-LLM setup with retrieval-augmented generation for answers based on your actual data.
Learn moreAI Automation
Combine intelligent model routing with workflow automation for end-to-end AI-powered operations.
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