SPEKO AUTOMATES VOICE AI MODEL SELECTION

Building production voice agents requires choosing from a dozen credible vendors across three model layers. Speko addresses this selection problem by testing combinations against user-defined constraints and recommending the best stack. The platform benchmarks available STT, LLM, and TTS options publicly and explains its recommendations. Founded by Bek, Speko targets the friction point where most teams evaluate models once and commit to a single stack—missing potential improvements as new models launch monthly. Speko positions itself similarly to OpenRouter, which abstracts LLM selection, but focuses specifically on the full voice AI pipeline. The startup aims to reduce evaluation overhead and help teams optimize for latency, cost, accuracy, or other metrics without ongoing manual testing.