The Lumea Platform

Enterprise-grade infrastructure for building, scaling, and monitoring agentic AI workflows

Intelligent Routing for Scalable, Efficient Agentic AI

Scaling agentic AI systems requires handling millions of runs efficiently. Our intelligent routing—a core platform component—makes this possible by dynamically routing tasks to the optimal LLM service or tool based on current load, latency, cost, and success rate.

Rate limits from LLM providers create severe bottlenecks in high-volume AI operations. Our solution addresses this by intelligently distributing requests across multiple providers and endpoints, helping avoid rate limits and ensure seamless execution even under high concurrency.

Internal benchmarks show this approach improves throughput by 10-20x compared to single-provider solutions, especially during peak loads. For enterprises with thousands of daily workflows, this translates to faster execution, lower costs, and resilience during traffic spikes.

Whether accessing APIs, reasoning loops, or generating responses, every agent action is optimized for performance and availability in real-time—without manual configuration. This reduces operational overhead, enabling teams to scale AI applications confidently from prototype to production.

Intelligent Routing Outcomes

Cost Intelligence for Enterprise Scale

When running agentic workflows at scale, even small cost differences of pennies per call can quickly accumulate into significant expenses. Our platform provides granular cost intelligence that helps teams optimize spending without sacrificing performance.

Track and analyze costs across your entire AI operation—from individual agent calls to aggregated workflow costs. Drill down by model type, provider, task category, or custom business dimensions to identify optimization opportunities and enforce cost governance.

Our intelligent routing automatically factors in cost efficiency, dynamically selecting providers based on real-time pricing and your performance requirements. As the cost landscape evolves—with new models, pricing changes, and competitive offerings—our system continuously adapts to maintain optimal price-performance ratios.

Enterprise customers report 30-40% cost savings after implementation, while maintaining or improving response quality and latency. Set cost-based policies, receive alerts for anomalies, and transform AI cost management from reactive to strategic.

Cost Management Dashboard
Fault Tolerance Workflows

Intelligent Fault Tolerance

In complex agentic workflows, failures are inevitable—external services go down, APIs change, rate limits are hit. Traditional systems force complete workflow restarts, wasting compute resources and dramatically increasing costs.

Our platform employs sophisticated checkpointing and caching mechanisms that allow workflows to resume from precisely where they failed, rather than restarting from scratch. This smart recovery approach preserves all previous computation and only repeats the minimal necessary steps.

For enterprise customers running thousands of complex workflows daily, this fault tolerance translates to 85% fewer reruns and significant cost savings. Operations teams no longer need to babysit workflows or implement complex retry logic—the platform handles recovery automatically.

Beyond just handling failures, the system learns from them. Automatic analysis of failure patterns helps identify problematic services or configurations, continuously improving reliability over time and making agentic workflows production-ready even in demanding enterprise environments.

Cost vs Evaluation Score Chart

Balancing Cost Efficiency and Quality

While reducing costs is important, maintaining high-quality outputs is critical. Our platform continuously monitors the relationship between cost reduction and performance quality through sophisticated evaluation frameworks.

As less expensive models are selected by the cost-based routing system, we automatically run evaluations to ensure performance standards are maintained. This gives you confidence that cost optimizations won't compromise the quality of your AI workflows.

The platform constantly evaluates new models entering the market, assessing their performance-to-cost ratio and automatically incorporating promising options into your routing pool. This ensures you're always leveraging the most efficient models for each specific task.

Set minimum quality thresholds and let the system optimize within those constraints—achieving the perfect balance between cost efficiency and performance quality. Monitor these metrics through intuitive dashboards that make complex trade-offs easy to understand and manage.

Platform Capabilities

Comprehensive tools for the entire agentic AI lifecycle

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Development Tools

Comprehensive SDK and APIs for building agentic workflows with your choice of language models, tools, and integrations

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Orchestration

Scale agent workflows with parallel execution, smart caching, and fault tolerance built-in

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Monitoring

Real-time visibility into agent performance, cost, and reliability with advanced analytics