Dialogus GTM brain

Dialogus provides voice agents that handle customer calls and execute workflows for enterprise contact operations.

category

Enterprise voice AI agents

market profile

  • text: Phone-heavy enterprises must handle orders, service requests and collections while preserving records and controlling outcomes.
  • text: The enterprise voice-agent field includes both contact-center specialists and developer-oriented voice infrastructure platforms.

personas

  • title: Contact center operations director
    pains:
    • Call queues and peak volumes outstrip available capacity.
    • Needs to track resolution quality rather than only completed calls.
  • title: Collections operations manager
    pains:
    • Agents must negotiate within policy and record promises accurately.
    • Campaign results require reconciliation and follow-up.
  • title: Restaurant group operations leader
    pains:
    • Rush-hour calls can turn into missed orders.
    • Phone orders must be entered accurately into the POS.

icp

  • text: Enterprise businesses with high call volumes, including telecommunications, banking and multi-location restaurant groups.
  • text: Organizations whose voice workflows require integration with transaction systems, policy controls and evidence for review; headcount is unspecified.

message pillars

  • text: Resolve the full customer interaction instead of simply answering.
  • text: Connect calls to operational actions and auditable outcomes.
  • text: Improve agents from measured outcomes.
  • text: Unify reporting and quality across the call operation.

objections

  • objection: Will it resolve a call or only converse?
    response: The company describes agents that act in customer systems, including placing POS orders; pilot against real transaction outcomes.
  • objection: How are sensitive calls governed?
    response: Dialogus states SOC 2 Type II attestation and in-progress ISO 27001 certification; request current evidence and examine data controls.
  • objection: How can we review or improve poor calls?
    response: The operations product describes audio, transcripts and replayable call forensics; agree on review and escalation requirements.

competitors

  • name: PolyAI
    why: Enterprise customer-service voice agents compete for call-center automation.
  • name: Bland AI
    why: Voice AI platform supports enterprise customer calls.
  • name: Retell AI
    why: Voice agent infrastructure can automate customer support calls.

keywords

  • enterprise voice AI
  • AI call center agents
  • restaurant phone order automation
  • AI collections calls
  • contact center automation
  • voice agent quality monitoring
  • AI customer service phone

voice

  • confident and operational
  • outcome-focused
  • control-conscious

signals

  • text: A carrier or collections operation handles large call campaigns and wants better capacity and recorded outcomes.
  • text: A multi-location restaurant group misses calls during peak ordering periods.
  • text: A service leader is replacing IVR queues or integrating customer support with transactional systems.

pricing

model: unknown

motion

sales_led

channels

  • website
  • LinkedIn
  • Y Combinator directory

confidence

medium

Founders

  • name: Juberth Rodriguez
    title: Founder/CEO
    role: CEO
    bio: Co-founder @ Dialogus
  • name: Hans Ibarra
    title: Founder/CEO
    role: CEO
    bio: Co-founder @ Dialogus | Ex-Google @ Antigravity, Gmail and Youtube
  • name: Rodrigo Terán
    title: Founder/CTO
    role: CTO
    bio: Co-founder @ Dialogus | Ex-Google, Meta | Math & Physics Olympiad

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