SmartRoute AI Orchestrator
Automatically routes user queries to the optimal AI model (GPT, Claude, Gemini, Perplexity)
Trusted by
Built with proven architecture patterns and used in enterprise settings
Success Story
Salesforce saved 50,000 hours in one quarter using Einstein in Slack to automate routine tasks
Integrates with
Problem
Using a single AI model for all query types leads to mismatches: coding tasks suffer, reasoning tasks underperform, and costs rise when overpowered models are used for simple queries.
Solution
SmartRoute classifies each input and routes it to the best model automatically—ensuring each task gets handled by the right AI without manual decision-making.
Result
Higher quality responses, lower latency, and reduced AI usage costs.
Use Cases
SmartRoute AI Orchestrator bridges the gap between one-size-fits-all AI and specialized models. It classifies incoming user queries (e.g. code, reasoning, general, search) and dynamically routes them to GPT, Claude, Gemini or Perplexity—whichever is best suited for that task. It retains conversational memory, optimizes model usage, and simplifies access to multiple LLMs through a unified interface. Perfect for platforms, support systems, or apps wanting the smartest model per query without manual routing. It reduces redundancy, lowers costs, and boosts quality by matching tasks to model strengths. All context is preserved across turns for seamless conversations.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
API Setup
1 dayConnect and verify access to all model APIs — OpenAI, Anthropic, Google Gemini, and Perplexity. Test authentication, rate limits, and secure key storage for each provider.
Classification Logic Design
1 dayDefine query classification logic and routing rules. Map task types to models (e.g., coding → GPT, reasoning → Claude, factual → Perplexity). Validate classification accuracy on sample prompts.
Routing and Testing
1 dayRun test queries through the orchestrator to check routing accuracy, latency, and response quality. Adjust thresholds for better performance and balanced cost efficiency.
Memory and Context Integration
1 dayImplement conversation memory for multi-turn queries. Test consistency across routed models and verify that context is preserved throughout the dialogue
Deployment and Monitoring
1 dayIntegrate SmartRoute with chat or app endpoints. Enable logging, cost tracking, and error alerts. Monitor routing results in production and continuously fine-tune performance.
Support Included
Includes a setup guide, routing templates, sample classifier logic, memory examples, and monitoring checklist for ongoing optimization.
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