Net Zero Compare
Onye Dike
Updated by Onye Dike on October 3rd, 2026
pertoIOTA is an IoT-based building energy management platform developed by Berlin-based perto to improve the efficiency of older and medium-sized buildings. It combines connected sensors and equipment with cloud software to monitor, remotely control and automatically optimize heating, ventilation and other building energy systems. Its value lies particularly in retrofits: perto says its standardized integration approach allows the system to be introduced without disruptive infrastructure modifications. The platform targets property owners and facility teams managing commercial buildings and multi-building portfolios. perto reports average energy savings of 22% across its deployments.

Available Energy Management Features

Alerts/Notifications
Asset Performance Monitoring (energy assets)
Cost Tracking
Integration with IoT Sensors
Multi-Site Support
Real-Time Energy Monitoring
Workflow Automation

Missing Energy Management Features

Compliance Reporting
Customizable Dashboards
Data Import/Export
Emissions Factor Database
Energy Attribute Certificates (EACs)
Energy Baseline Calculation
Energy Benchmarking

Pricing

Starting Price
No data available
Options
No data available

Available Since

2016

Deployment Options

  • Web Browser (Cloud - Based)

Good Option For

  • Small Business (11-50 people)
  • Medium Business (51-250 people)
  • Large Business (250+ people)

Deep dive


Core Features

pertoIOTA combines monitoring with direct building control. Data from meters, pumps, temperature sensors and other equipment is sent to the cloud, where the platform provides oversight and uses scheduling, automation and AI to improve building operation. Key capabilities include:

  • Real-Time Energy Monitoring: Connected sensors continuously transmit building and equipment data, allowing facility teams to monitor energy use, temperatures and system performance remotely.

  • Remote Equipment Control: Users can remotely adjust connected building equipment and operating parameters, reducing the need for on-site interventions.

  • AI-Assisted Optimization: pertoIOTA combines artificial intelligence, automated controls and scheduling to adjust building systems and reduce unnecessary energy consumption.

  • Predictive Maintenance: Custom formulas and recurring assessments identify faults and abnormal performance in energy systems, with notifications helping facility teams respond to equipment problems.

  • Portfolio Management: A central dashboard provides visibility across buildings, including savings by property and open equipment notifications, supporting organizations responsible for multiple locations.

  • IoT & Equipment Integration: The system connects sensors, meters, pumps and controllable equipment. perto has also demonstrated integration with equipment including Wilo pumps and Belimo Energy Valves, enabling coordinated optimization of heating components.

Closing Insights

pertoIOTA is developed by perto, a Berlin energy-efficiency company founded in 2016. The platform is particularly focused on existing buildings where outdated controls can result in heating and other systems consuming more energy than necessary. Its combination of retrofit hardware, IoT connectivity and cloud-based control distinguishes it from energy management platforms that primarily analyze utility data.

A major deployment is at Berlin's STATION-Berlin, where pertoIOTA monitors and intelligently controls energy consumption across the event venue. Another implementation combines pertoIOTA with GF Piping Systems technology at properties belonging to Bauverein Halle & Leuna, bringing heating and hot-water system data together for continuous monitoring and optimization.

The platform's retrofit approach may be particularly relevant to owners with older properties that need better operational control without a disruptive replacement of existing infrastructure. Prospective users can request a demonstration and an assessment of potential savings before deciding whether to deploy the system.


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