Protex AI GTM brain

Protex AI turns existing industrial cameras and site systems into safety and operational intelligence for EHS and operations teams.

category

Industrial safety and site intelligence

market profile

  • text: Computer vision vendors use existing cameras to identify safety risks before injuries in industrial sites.
  • text: Protex now positions its product across operational flow as well as safety, connecting camera observations to enterprise systems.

personas

  • title: VP of EHS or safety director
    pains:
    • Incident reports miss near misses across shifts and sites.
    • Needs evidence that interventions reduce risky behaviors without monitoring every camera manually.
  • title: Warehouse or plant operations director
    pains:
    • Cannot easily see where vehicle, people and material flows break down.
    • Needs to identify the cause of bottlenecks and assign improvement actions.
  • title: Enterprise IT and privacy leader
    pains:
    • Camera analytics must fit existing infrastructure and privacy requirements.
    • Integrations with site systems must be supportable across facilities.

icp

  • text: Multi-site logistics, warehousing, distribution and manufacturing enterprises with existing CCTV and dedicated safety teams.
  • text: Sites with moving vehicles, people and materials where repeatable risk and process observations can guide interventions.

message pillars

  • text: Use the cameras already installed.
  • text: Surface hazards before they become incidents.
  • text: Explain the operational cause behind observations.

objections

  • objection: Will employees see cameras as surveillance?
    response: Review privacy controls and engage workers before deployment; validate the policy for each site.
  • objection: Do we have to replace cameras and existing systems?
    response: Protex says it connects existing cameras and site systems; assess camera coverage and compatibility in a pilot.
  • objection: Can this prove measurable value?
    response: Use a baseline and track a defined behavior or flow measure; customer case studies provide examples, not guarantees.

competitors

  • name: Intenseye
    why: Direct industrial computer vision safety competitor.
  • name: Voxel AI
    why: Applies video analytics to workplace safety in similar facilities.
  • name: Surveily
    why: Safety risk detection vendor identified in the same market report.

influencers

  • name: Dan Hobbs
    url: https://www.protex.ai/about
    why: Co-founder and CEO shaping company positioning.
  • name: Ciarán O’Mara
    url: https://www.protex.ai/about
    why: Co-founder and product and technology leader.

keywords

  • computer vision workplace safety
  • warehouse safety analytics
  • CCTV near miss detection
  • industrial EHS AI
  • forklift pedestrian safety
  • manufacturing safety monitoring
  • site operational intelligence

voice

  • Practical and outcomes-focused
  • Human-centered safety language
  • Evidence-led enterprise messaging

signals

  • text: A company reports forklift near misses, injury reduction targets, or a multi-site EHS initiative.
  • text: An operator is connecting WMS or manufacturing data and seeks visibility into floor-level bottlenecks.

stack

  • Existing CCTV
  • WMS
  • MES
  • TMS
  • EHS systems

pricing

model: unknown

motion

sales_led

channels

  • LinkedIn
  • case studies
  • webinars
  • industry reports
  • partnerships

confidence

high

Founders

  • name: Dan Hobbs
    title: Founder
    role: Founder
    bio: Hey there! My name is Dan, it's nice to meet you! I am the co founder and CEO of Protex AI. We provide proactive AI vision for workplace safety. I love to network and meet new people so get in touch for a virtual coffee to talk about all things start up!
  • name: Ciarán O'Mara
    title: Founder
    role: Founder
    bio: Connecting the dots. Will look back later. ✌

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