Speko GTM brain

Speko provides voice AI model routing and a voice-agent platform for developers and teams building multilingual calling applications.

category

Voice AI model routing and agents

market profile

  • text: Voice agents combine speech recognition, language models and speech synthesis, and the best model can differ by language and objective.
  • text: Speko offers a hosted routing API, a customer-side gateway and a separate hosted agent and telephony platform.
  • text: The market includes full voice agent platforms as well as individual model providers and open runtimes.

personas

  • title: Voice AI engineer
    pains:
    • Benchmarking and integrating separate STT, LLM and TTS vendors is ongoing work
    • A single vendor may perform unevenly across languages
  • title: Engineering leader at a voice agent startup
    pains:
    • Voice quality, latency and cost change as providers release models
    • Provider outages or switches create operational and engineering risk
  • title: Customer operations or product leader
    pains:
    • Phone agents need testing against difficult callers and monitoring after launch
    • Running multilingual inbound services requires reliable telephony and escalation

icp

  • text: Voice AI software teams building production phone agents or embedding speech in applications, especially those serving multiple languages.
  • text: Technical teams using LiveKit or Pipecat that want routing while retaining control of the conversation runtime.
  • text: Higher-volume enterprises with committed usage and custom operating requirements can evaluate the enterprise tier.

message pillars

  • text: Unify multiple speech models behind one integration.
  • text: Select models based on language-specific performance.
  • text: Support the full lifecycle of voice agents.

objections

  • objection: Why not use one speech vendor directly?
    response: Compare the published language benchmarks and test whether routing improves your own calls enough to justify another layer.
  • objection: We need to control credentials and runtime.
    response: The customer-side Gateway is described as keeping provider credentials in the customer process and working alongside LiveKit or Pipecat.
  • objection: What will calls actually cost?
    response: Model routing has a provider-rate markup; the bundled infrastructure rate and telephony charges are separate pricing paths and should be modeled per use case.

competitors

  • name: Vapi
    why: Voice agent platform competing for developers building phone agents.
  • name: Retell AI
    why: Voice agent platform with overlapping build and telephony use cases.
  • name: Bland AI
    why: Voice calling agent provider listed in Speko's own comparison navigation.

influencers

  • name: Bek Abdikamalov
    url: https://www.ycombinator.com/companies/speko/jobs/UqVS4xf-founding-head-of-growth
    why: Founder and CEO with previous production voice AI experience.

keywords

  • voice AI model router
  • speech to text model benchmark
  • multilingual voice agent API
  • voice AI latency comparison
  • voice agent platform pricing
  • TTS routing API
  • Vapi alternative

voice

  • technical and measurement-led
  • direct
  • developer-oriented

signals

  • text: A voice agent team is expanding into languages where its incumbent speech model underperforms.
  • text: An engineering team is evaluating LiveKit or Pipecat and comparing STT and TTS providers.
  • text: Call volume is growing enough that latency, model pricing and failover have become material.

stack

  • LiveKit
  • Pipecat
  • SIP

hiring

  • Founding Head of Growth

pricing

model: usage
starting price: Router: provider rate plus 5%; bundled infrastructure: $0.09 per minute, with telephony potentially extra

motion

hybrid

channels

  • developer documentation
  • SEO benchmarks
  • LinkedIn
  • X
  • Discord
  • sales demos

confidence

high

Founders

  • name: Beknazar Abdikamalov
    title: Founder/CEO
    role: CEO
    bio: Founder and CEO of Speko (YC S26). Previously co-founder and CTO of Hupo (voice AI; $14M raised; backed by DST Global and Meta), where he spent four years shipping production voice AI for fortune 500s in 10+ languages. Earlier a software engineer at Amazon; MS in CS from UNIST, Korea.

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