Union.ai achieves 9.8x ROI according to analysts.

A study by theCUBE Research quantifies the financial and operational impact of Union.ai for AI/ML teams. 

The results are based on 489 survey responses, three customer interviews, and a fully documented financial model.

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What the report covers

  • How much engineering time AI/ML teams lose annually to infrastructure maintenance, and what it's worth in dollars
  • Why practitioners and managers perceive the same problem differently, and what that costs organizations
  • A line-item 3-year financial model built from real survey data, with sensitivity analysis under adverse assumptions
  • How Union.ai customers compare to the industry median across deployment speed, satisfaction, and operational cost
  • Total cost of ownership: Union.ai vs. DIY vs. alternative managed platforms

Customer outcomes

  • Wherobots cut time-to-market for new features in half
  • Pachama achieved a 10× increase in iteration speed
  • HederaDx avoided a six-figure infrastructure hire

All three share the operational details behind those results.

About the research

Conducted independently by Paul Nashawaty, Principal Analyst at theCUBE Research / SiliconANGLE Media. 

All assumptions are documented and conservative by design.