Dragoneye GTM brain

Dragoneye gives developers zero-shot vision models to extract structured information from video and images.

category

Video computer vision APIs

market profile

  • text: Developers can add custom video understanding without building a labeled training set.
  • text: Applications include sponsor exposure, traffic surveys and road inventories, spanning product features and operations.

personas

  • title: Software engineer building video features
    pains:
    • Needs object and attribute data in an application without a dedicated computer vision team.
    • Labeling examples and training a model delays a product experiment.
  • title: Operations or analytics lead
    pains:
    • Manual review of long recordings makes exposure and traffic reports slow.
    • Needs structured records rather than another video archive.

icp

  • text: Software teams embedding image or video analysis into products, especially small teams without specialist ML capacity.
  • text: Organizations processing recurring video such as sponsorship, transportation or road inspection footage; volume buyers may need custom terms.

message pillars

  • text: Turn video into usable structured data.
  • text: Avoid the upfront training-data burden.
  • text: Go from idea to a usable model quickly.

objections

  • objection: Will it work on our unusual footage?
    response: Test representative video in the playground and evaluate extraction accuracy before committing to volume.
  • objection: Will video processing costs scale predictably?
    response: Estimate minutes and frame rate using published usage rates; discuss volume pricing for large workloads.

competitors

  • name: Encord
    why: Computer vision data and model development platform competing for teams building visual AI.
  • name: AI Verse
    why: Listed as a competitor in computer vision data and model development.

influencers

  • name: Alex Liao
    url: https://dragoneye.ai/author/alex-liao/
    why: Founder writing technical product and integration posts.

keywords

  • video object detection API
  • zero shot computer vision
  • video analytics API
  • custom vision model without training
  • sponsor logo detection
  • traffic video analysis

voice

  • Direct and developer-oriented
  • Practical, with concrete examples
  • Focused on speed and simplicity

signals

  • text: A product team is adding object or activity detection to a video workflow.
  • text: A team is processing enough footage to need volume discounts or custom tuning.

stack

  • Python SDK
  • Node SDK
  • MCP server

pricing

model: usage
starting price: $0.046 per minute of video at 5 FPS; $10 signup credits

motion

hybrid

channels

  • SEO
  • developer documentation
  • LinkedIn
  • playground

confidence

high

Founders

  • name: Alex Liao
    title: Founder/CEO
    role: CEO
    bio: Building computer vision so every app can see the world. ex-Jane Street, ex-Facebook, UPenn Physics and CS

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