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[ARTICLE · art-150989] src=runtimewire.com ↗ pub= topic=large-language-models verified=true sentiment=· neutral

Poetiq says its system optimized an LLM router in 12 hours

Poetiq said its Metasystem optimized a custom large language model router in 12 hours, producing configurations it claims beat OpenRouter's Auto Router and TypeSafe's JEV on its own tests. The company said one engineer spent 2.5 weeks on the entire project, from gathering data through final results, with the 12 hours covering only the system's optimization work. The results are company-reported and based on simulated company workloads, so Poetiq's pitch that automated orchestration improves model cost and accuracy without retraining models still depends on whether the gains hold on customers' real query mixes.

by read1 min views1 publishedOct 15, 2026
Poetiq says its system optimized an LLM router in 12 hours
Image: Runtimewire (auto-discovered)

The test used simulated company workloads; Poetiq says its custom routers improved cost and accuracy against OpenRouter and TypeSafe's JEV on its benchmark.

        By [Ryan Merket](https://runtimewire.com/author/ryan-merket)
        · Published 

Primary source: [X](https://x.com/poetiq_ai/status/2110802533577060627)

Why it matters #

Poetiq is pitching automated orchestration as a way to improve model cost and accuracy without retraining models. Its results are company-reported and based on simulated workloads, so the commercial test is whether those gains hold on customers' real query mixes.

Poetiq says its Metasystem optimized a custom large language model router in 12 hours, producing a series of configurations that it says beat OpenRouter's Auto Router and TypeSafe's JEV on its own tests. The company says one engineer spent 2.5 weeks on the entire project, from gathering data through final results; the 12 hours cover the system's optimization work, not the full project.

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