What Burki is (and why teams use it)
Burki is a voice AI platform for real phone calls: it connects programmable telephony to streaming speech recognition, large language models, and text-to-speech, then gives you a dashboard and APIs to operate assistants at production volume. You are not buying a single bundled model—you are getting orchestration, observability, and provider choice so your stack can evolve as models, carriers, and pricing change.
Most teams adopt Burki when they have outgrown one-off Twilio plus OpenAI scripts, or when they need lower latency, clearer unit economics, and the ability to swap STT, LLM, or TTS per assistant or campaign. Burki runs the media pipeline, session state, tools, webhooks, recordings, and transcripts so your product work stays focused on prompts, workflows, and customer outcomes—not low-level audio plumbing.
Pricing is designed to stay legible at scale: a transparent platform fee per minute plus pass-through provider costs, with optional bring-your-own API keys when you want direct relationships with carriers and model vendors. There are no bulk minute commitments on the platform tier described on the pricing page, which makes it practical to pilot on live traffic and expand region by region.
Whether you are automating reception, outbound sales, appointment handling, or replacing a legacy IVR, Burki is built to ship: connect numbers, configure providers, test in the dashboard, then tighten latency and cost using analytics and transcripts from real conversations.