Optimize the models, context and workflows behind your AI agents with Haystack Enterprise Platform. Reduce unnecessary token usage, gain visibility into costs, and maintain the performance your applications need.
A single request can trigger multiple model calls, unnecessary retrieval and repeated processing. Multiply that across thousands of users and AI costs quickly become difficult to predict or control.
The good news? Much of this can be optimized through how your AI systems are built.
Route simpler requests to more cost-efficient models. Save powerful, expensive models for the work that actually needs them.
Give agents only the context they need, using Haystack's retrieval, ranking and filtering capabilities to cut out irrelevant information.
Track costs across models, agents and services. Use detailed traces to understand which steps are driving consumption and where to improve efficiency.
Switch between models and providers without rebuilding your AI applications. Take advantage of better-performing or lower-cost alternatives as they emerge.
Haystack Enterprise Platform brings together the tools to build, deploy and monitor AI agents, so teams can understand their costs and improve how their systems run.
Built on open-source Haystack, Haystack Enterprise Platform gives you control over your models, data, tools and infrastructure, and the freedom to change them as your needs evolve.
Transparent, extensible orchestration built on open source.
Run in public cloud, sovereign cloud, or your own infrastructure, including air-gapped environments.
Choose models and providers that deliver the best balance of cost and quality, without vendor lock-in.