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Kaizen

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Software Status:Active

About Kaizen

Kaizen Energy is a building performance software from CopperTree Analytics that helps users achieve sustainability goals and reduce operational costs. It combines commissioning, data integration, and energy management to support effective energy performance. With capable energy baselining features, Kaizen Energy allows users to organize analytics and gain interactive perspectives on their building's energy use. The platform provides insights that aid in making data-driven decisions to improve sustainability efforts and operational efficiency. Key capabilities: commissioning data integration energy management sustainability building performance Best for: building managers and facility operators that need to improve energy efficiency and meet sustainability targets.

Kaizen Details

Vendor
CopperTree Analytics
Year Launched
2012
Location
5455 152nd Street – Suite 301 Surrey, BC V3S 5A5
Deployment
cloud
Training Options
videos, live online
Countries Served
All Countries
Languages
English
Users
energy managers, facility managers, sustainability professionals, property portfolio operators, building owners
Industries Served
Energy Management, Facility Management
Tags
energy management, building analytics, EMIS, EIS, fault detection, diagnostics, metering, baselining, portfolio‐level analytics, sustainability, optimization, SaaS

Kaizen's In-App Market Place

Does Kaizen have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), CAD (CA$), AUD (AU$), JPY (¥), CNY (¥), INR (₹), MXN (Mex$)

Pros & Cons

  • Offers panorama-scale visibility across building portfolios enabling facility teams to target energy savings with precision.
  • Strong baselining practices including weather normalization foster accurate comparisons and realistic improvement goals.
  • Real-time and virtual metering tools allow granular tracking by equipment, load type, or floor for insight.
  • Fault Detection & Diagnostics and Automated System Optimization modules reduce energy waste and operational inefficiencies.
  • Cloud-based SaaS model facilitates scalability, remote access, and reduces local IT infrastructure burdens.
  • May involve significant data integration overhead and setup time for buildings without modern metering infrastructure.
  • Requires reliable continuous data streams; data gaps or poor sensor quality degrade analytic accuracy.
  • Limited documentation or case studies for non-North American regulatory compliance or context in some markets.
  • Steep learning curve for facility teams unfamiliar with energy analytics or interpreting diagnostic outputs.

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