Control Seat GTM brain

category

market profile

• text: Industrial maintenance teams must spot emerging machine failures before downtime disrupts production.
• text: The offering combines sensors and existing plant data with deployment assistance, competing in machine health monitoring.

personas

• title: Plant maintenance manager
  pains:

  • Unexpected equipment stops create emergency repair work and lost production.
  • Technicians need actionable checks, not unexplained alarms.
• title: Plant manager
  pains:

  • Downtime and scrap make the economic case for monitoring hard to ignore.
  • A site-wide rollout needs a credible pilot and measurable ROI.
• title: Controls or reliability engineer
  pains:

  • Machine data sits across PLCs, historians and unconnected equipment.
  • Operating changes can be mistaken for equipment deterioration.

icp

• text: Manufacturers and other industrial operators with rotating assets such as motors, pumps and compressors.
• text: Plants with existing controls or uninstrumented machines that can begin on a few critical assets before expanding.

message pillars

• text: Find equipment problems before they interrupt production.
• text: Use existing plant data or add sensors to bridge coverage gaps.
• text: Get practical support to identify and check likely problems.

objections

• objection: We cannot risk replacing our controls.
  response: Monitoring can use sensors on existing machines, without replacing controls.
• objection: We need to prove ROI before a broad deployment.
  response: Start with a few critical machines and evaluate results before expansion.
• objection: Integration with plant systems will delay the project.
  response: Existing PLC and SCADA connections are optional; wireless sensors connect through a gateway.

competitors

• name: Augury
  website: https://augury.com
  why: Machine health and predictive maintenance platform for industrial equipment.
• name: SymphonyAI
  website: https://symphonyai.com
  why: Industrial AI and predictive intelligence overlaps with plant monitoring.

keywords

• predictive maintenance sensors
• industrial machine health monitoring
• pump vibration monitoring
• factory downtime reduction
• SCADA predictive maintenance
• condition monitoring software

voice

• Practical and plant-floor focused
• Direct and evidence oriented
• Collaborative, with deployment support

signals

• text: A plant has repeated unplanned stops or costly emergency repairs.
• text: A reliability team wants to monitor critical rotating equipment with limited existing instrumentation.

stack

• PLCs
• SCADA
• historians
• APIs

pricing

motion

channels

• SEO
• LinkedIn

confidence

Founders

• name: Warren Shepard
  title: Founder/CEO
  role: CEO
  bio: Building a modern SCADA system to control and monitor factory hardware and replace legacy systems. Previously at Dartmouth ('26), SpaceX (Starlink), and Microsoft (security).
• name: Jack Grodnick
  title: Founder/CTO
  role: CTO
  bio: Building Control Seat, the AI-native controls and monitoring stack for industry. We help industrial teams connect plant systems, understand what changed, catch problems earlier, and run operations with fewer surprises. On leave from Dartmouth. Previously at Tesla, SpaceX, and Amazon.