Case study · Marketing Content
Technical content at scale, accuracy intact
DeepX needed to turn complex computer vision research into marketing content. Without dumbing it down. Without pulling engineers off R&D.
The client
DeepX builds AI-driven computer vision for high-stakes industrial environments - safety compliance, quality control, operational efficiency. Rugged hardware, advanced analytics, real-time alerts.
The challenge
Where it broke.
Cutting-edge R&D. Brilliant engineers. But marketing content? Engineers were spending more time writing than building. When they did write, technical accuracy was perfect but marketing impact was low.
What it cost
- Organic traffic plateaued at industry average
- Lead gen 25% below benchmarks
- 45% of research unused for marketing
- Sales lacking industry-specific materials
- R&D productivity declining as engineers wrote content
- Engineers writing marketingTechnical experts spending hours on content instead of R&D. Output capacity limited.
- Industry disconnectGeneric technical content. Different verticals need different pain points addressed.
- Accuracy vs. accessibilityFear of oversimplifying. Fear of technical errors. Both paralyzing.
- Scattered research45% of technical documentation sitting unused. Valuable insights locked away.
- Voice inconsistencyDifferent writers, different quality. Technical depth varied wildly.
The build
What we shipped.
6 integrated AI agents. Technical documentation → marketing content. Accurate, cited, on-brand. Engineers back to engineering.
Results
What changed.
Feedback
“Consistent, credible content that represents our expertise. Prospects arrive at sales calls understanding our technical sophistication.”
Next step
Want this in your company?
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