Why Newsec Chose Ento

How do you digitize energy management across hundreds of large commercial properties without spending a year rebuilding databases and mapping meters? The solution is adopting an AI energy management platform that adapts to existing data structures. For Newsec, one of the largest property asset managers in the Nordics, the answer was partnering with Ento to implement a system that fits their data, not the other way around.

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Scaling AI Energy Management Across 300+ Commercial Properties

Newsec’s energy team acts as the operational backbone for some of the most demanding institutional investors in the market, including Urban Partners, Dades, and Sampension. The portfolios involved in this rollout included more than 300 commercial properties, ranging from century-old historical landmarks to highly modernized urban developments.

To manage this effectively and achieve true commercial real estate energy optimization, the team needed a system capable of handling massive scale and automating manual workflows.

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“Over the past year, we have replaced several digital platforms, and now the time has come for energy management. Ento has a unique product that automates several workflows in our team, which ultimately enables us to offer our customers a better and more competitive product.”

Sine Kallestrup Sørensen, Team Leader ESG & Energy Management at Newsec

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The Challenge: Adapting to Newsec’s Existing Data Structure

One of the biggest technical challenges in a PropTech data integration of this scale is the underlying data infrastructure. Across the portfolio, consumption data comes from more than 50 utility providers, each with its own data format, billing structure, and level of API access. In Denmark, district heating is heavily decentralized, making data access highly fragmented from municipality to municipality.

Furthermore, Newsec wasn't starting from scratch. The organization already held a massive amount of historic consumption data, carefully structured in a complex ontology linking hundreds of individual meters to specific sites, tenants, and investment portfolios.

Traditionally, moving to a new PropTech software platform would mean dismantling that data structure and spending up to a year rebuilding it. For an operation of this size, that simply wasn't realistic.

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From Signing to Deployment in 14 Days

In just two weeks, Newsec successfully deployed Ento’s AI-based software to monitor consumption across the entire portfolio. The software integrated seamlessly into Newsec's daily operations. Rather than building custom IT pipelines from scratch, Ento leverages established integrations and partnerships with local utilities.

Through standardized SFTP and API connections, data from all these different electricity, water, and district heating suppliers now flows directly into the platform automatically. This provides the energy management team with continuous, hourly data granularity—all integrated within 14 days without the need for new hardware. Now, the AI continuously monitors these high-resolution consumption patterns, automatically flagging buildings that are not operating as expected.

Instead of manually searching for anomalies across different building types in complex spreadsheets, Ento provides the team with clear guidance on exactly which properties need technical attention. Furthermore, the platform automatically tracks the actual return on investment (ROI) following operational changes, feeding verifiable data directly into ESG reporting workflows for Newsec’s institutional clients.

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Best Practices for Digitizing Commercial Real Estate Portfolios

Newsec’s experience proves that you do not need years to digitize energy management for a massive commercial real estate portfolio—if you have the right data foundation.

Instead of forcing Newsec to restructure their setup, normalize district heating data manually, or invest in expensive new sub-meters, Ento integrated directly into their existing data foundation. By connecting to the existing meter infrastructure and adapting to Newsec's historic data ontology, the transition was lightning-fast.

At the same time, the success of the 14-day rollout highlights the importance of having a skilled and motivated internal team. You can only transition that fast if your team is curious, willing to change their existing systems, and ready to help navigate the switch. It's exactly that kind of mindset that ultimately leads to real energy savings in the buildings.

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Key Takeaways:

- Speed: Deployed AI energy management software across 300+ properties in just 14 days

- Integration: Consolidated data from 50+ utility providers without rebuilding existing databases

- Efficiency: Automated the identification of energy waste and anomalies using hourly data granularity

- Compliance: Streamlined automated ESG reporting with verifiable, portfolio-wide ROI tracking