Reduce energy costs in your water-cooled chiller plant.

AI optimization for commercial and industrial cooling. Coordinate chillers, pumps, and cooling towers through your existing BMS.

For operating water-cooled plants with a BMS and an active energy-saving goal.

Published pharmaceutical plant case

Average plant efficiency

0.74→0.65kW/ton
Baseline operationkW/ton
Baseline operation — Jun 1 – Jul 7 · 27 daily records0.90.5

Jun 1 – Jul 7 · 27 daily records

AI controlkW/ton
AI control — Sep 1 – Oct 7 · 37 daily records0.90.5

Sep 1 – Oct 7 · 37 daily records

Measured daily records · separate operating periods

Period averages under different operating conditions. This comparison is not weather- or load-normalized and does not guarantee savings at another site.

Read the data and methodology

A focused fit for your plant.

Start with the system you operate and the energy problem you want to solve.

01

Water-cooled equipment

An operating commercial or industrial chiller plant with cooling towers and water-side pumps.

02

Existing BMS

Plant operating data and a path to approved control points. We review compatibility with your team.

03

A clear savings objective

Lower electricity use, improve plant kW/ton, or address rising cooling costs at a real site.

This service focuses on operating plants. Residential cooling, PC liquid cooling, and equipment-only purchases are outside this scope.

Optimize the whole plant.

Chillers, pumps, and towers affect each other. ClimaMind coordinates their operating targets around load, weather, and site constraints.

Local safeties, equipment limits, and operator authority stay with the existing controls.

ClimaMind optimization
Your existing BMS
  • Chillers
  • Water-side pumps
  • Cooling towers

A practical path to verified results.

  1. 01

    Review your plant

    Share the system type, BMS, available trends, and the energy problem. Together, we identify what can be evaluated.

  2. 02

    Agree the operating boundaries

    Define approved control points, equipment limits, operator override, and the measurement plan before control changes.

  3. 03

    Evaluate performance

    Compare plant energy use against agreed baselines and operating conditions, alongside comfort and reliability.

Tell us about your cooling plant.

Share your system and savings goal. We’ll review the fit and follow up about the right next conversation.

No trend files needed to start. Capacity and annual electricity spend are optional.

Explore the measured case ↗

All fields required unless marked optional.

We’ll use these details to respond to your project enquiry.

Before we talk.

Can we use our existing BMS and older chillers?

Potentially. Suitability depends on available telemetry, accessible control points, equipment condition, and operating constraints. A point-map and controls review comes first.

What data will you need?

Start with your equipment configuration, BMS details, and savings objective. A technical review can then identify trends such as plant power, cooling load, temperatures, equipment states, and control setpoints.

How will savings be measured?

Agree the measurement boundary, baseline, and adjustments for load, weather, and operating schedule. Track electricity use and plant kW/ton alongside comfort and reliability. Published case results are context, not a forecast for your site.

Who stays in control?

Your site team retains operator authority. Approved bounds, native safeties, manual override, and fallback behavior must be agreed and verified for the deployment.