The daily newspaper that slashes OpEx costs
Every morning, Coolgradient delivers insights no human could detect—optimizations that cut PUE, prevent downtime, and save millions.
Let’s get started
Use existing data to cut PUE by up to 40%
Coolgradient uses Perceptive AI to track, analyze, and improve your existing infrastructure. No hardware changes required.
- No new hardware
- No risky retrofits
- Smarter performance
Your facility generates millions of signals
Temperature fluctuations, fan speeds, power draws, humidity shifts. You’ve got more than enough data to optimize your operations.
We translate signals into incredibly powerful insights
Find the patterns that matter. Instead of dashboards full of overwhelming data, you get actionable recommendations with huge impact.
Every recommendation is verifiable
No black boxes here. Each insight comes with projected impact and an implementation plan. And it's easy to track and confirm results.
You’re always in charge
Our AI uncovers opportunities, but you decide which recommendations to implement and how fast to optimize. Your team stays in control.
The evolution of data facility optimization
- Double-digit PUE reductions
- Over 42% in energy savings
- Extends equipment life
- Actionable insights within 6 weeks
The 6-week timeline to actionable insights
Week 1 Connect to understand your facility’s potential
No new sensors. No new hardware. Just connect Coolgradient to what you already have. In six weeks, you’ll see your true PUE and the exact path to improve it, with transparent data and zero risk to uptime.
Week 2 - 5 Our AI learns your facility’s unique patterns
Our AI models learn your facility’s unique patterns and calibrate themselves. During this period, no optimization insights are delivered; the system is building a deep understanding of your environment.
Week 6 You start receiving daily recommendations
Every insight shows you exactly what to adjust as well as a clear projection of what you'll gain. From there, you can send recommendations straight to your service management or BMS systems. And it's easy to track and verify the impacts of each change across every site, asset, and metric.
Here’s how we’re different
![]() |
![]() |
||
|---|---|---|---|
| Implementation | 6 weeks, no new sensors or CapEx | Months, requires sensor hardware installation and CapEx investment | Months, no new hardware but extensive integration required |
| Transparency | Absolute transparency with full data logs and verifiable predictions | AI black box with limited insights | AI black box—deep RL models with no visibility into decision process |
| Control | Human decides everything with help from machine learning insights | AI recommends, human implements, but limited transparency on reasoning | AI makes autonomous decisions with minimal human oversight |




