Hamming AI GTM brain

Hamming sells testing, security evaluation and production monitoring for teams deploying voice and chat agents.

category

Voice agent QA and security

market profile

  • text: Voice agents combine models, speech, telephony and tools, so changes can create unpredictable customer-facing failures.
  • text: Regulated deployments must demonstrate continuous testing and traceable evidence of fixes as well as agent quality.

personas

  • title: Voice AI engineering lead
    pains:
    • Manually calling an agent cannot cover accents, interruptions and release regressions at scale
    • Needs actionable recordings and reproducible failures in CI
  • title: Security or compliance leader at a bank or health system
    pains:
    • Agent may disclose sensitive data or violate policy
    • Needs an audit trail and evidence that security fixes hold
  • title: Voice agent product leader
    pains:
    • Agent mistakes reach customers and undermine deployment confidence
    • Needs to monitor production calls and prioritize issues before customers complain

icp

  • text: Banks and health systems deploying customer-facing voice or chat agents in sensitive workflows.
  • text: Voice AI vendors and enterprise support teams shipping frequent agent releases and handling significant call volume.

message pillars

  • text: Cover the agent throughout its release and production lifecycle.
  • text: Turn real failures into repeatable checks.
  • text: Deliver evidence that supports a security review.

objections

  • objection: We already test agents manually.
    response: Compare a simulated test suite across accents and interruptions with the coverage and time of manual calls.
  • objection: Our calls contain sensitive information.
    response: Review the security packet, redaction options and available BAA or deployment controls with security teams.

competitors

  • name: Cekura
    website: https://www.cekura.ai/blogs/hamming-alternative
    why: Voice agent testing and monitoring across deployment stages.
  • name: Coval
    why: Simulation and evaluation for voice and chat agents.
  • name: Roark
    why: Voice agent QA and evaluation platform.

influencers

  • name: Sumanyu Sharma
    url: https://www.linkedin.com/in/sumanyusharma
    why: Founder and CEO discussing voice agent reliability and security.

keywords

  • voice agent testing
  • voice AI evaluation platform
  • voice agent regression testing
  • AI agent red teaming
  • voice agent production monitoring
  • voice AI QA

voice

  • direct and technical
  • security-conscious
  • evidence-led

signals

  • text: A team is launching a voice agent for patient or financial account workflows.
  • text: Agent releases are frequent and manual testing cannot cover regressions or call volume.

stack

  • Vapi
  • Retell
  • ElevenLabs
  • SIP
  • OpenTelemetry
  • Slack
  • PagerDuty

pricing

model: contact_sales

motion

sales_led

channels

  • SEO
  • LinkedIn
  • podcast
  • partners

confidence

high

Founders

  • name: Sumanyu Sharma
    title: Founder/CEO
    role: CEO
    bio: Sumanyu is the founder & CEO at Hamming AI. Hamming AI is a complete QA platform for voice agents from pre-deployment testing to production monitoring. Previously helped Citizen grow its MAU by 4X and helped bootstrap revenue from 0 to millions in ARR in under 6 months. Before that, grew an AI-powered sales program @ Tesla to 100s of millions in revenue/year as a Senior Staff Data Scientist. Published a first-author paper in AI during undergrad. BASc from UWaterloo w/ dean's list.

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