Agentic AI for asset and portfolio management

You can’t manage what you can’t compare

Your mandate is portfolio-wide: protect and grow the value of every asset. The systems underneath make that almost impossible.

Every building runs a different building management system (BMS), meters differently, and reports differently, so there’s no clean way to benchmark one against another or roll performance up to a portfolio view. Operating inefficiency quietly drags NOI in buildings you can’t see clearly enough to fix. And an asset with no coherent digital layer is harder to future-proof and less ready for the day you refinance or sell. Meanwhile single-vendor stacks lock you in and cap what any given building can become.

Certifications such as LEED, BREEAM, DGNB, and ISO 50001, green financing terms, and stranded-asset risk all depend on performance data you can verify. Some owners still spend hundreds of thousands of kronor a year on manual occupancy walks, just to know how their space is used.

The information that would let you manage the portfolio as one already exists inside these buildings. It’s just trapped — unreadable across vendors and impossible to compare.

 

From one building’s records to portfolio value

A BMS is a system of record for a single building. It logs what that building did, in its own language. What it can’t do is make every building comparable, roll performance up to the portfolio, or actively lift the operating numbers that drive asset value.

That’s the gap ProptechOS closes. We use the open RealEstateCore standard to normalise data from any BMS or Internet of Things (IoT) source across every building into one common language, then run AI agents on top of it. The result is a portfolio you can actually see — and agents that work continuously to improve the performance underneath the valuation.

Your BMS reports on one building. ProptechOS lifts the whole portfolio.

 

Put an agent on the performance that drives value

The agents do the collecting, cleaning, and comparing that used to take your analysts days, so your time goes to the decisions.

Portfolio benchmarking puts every building on the same normalised layer, so you can compare energy, comfort, and operational performance building-to-building, rank your estate, and see exactly where value is leaking.

Operating-performance agents work continuously across the portfolio to cut waste, reduce reactive maintenance, and optimise energy — the operating improvements that flow straight through to NOI.

Better operations make a more valuable, more transactable asset: a building running on an open, standardised digital layer is easier to future-proof and cleaner to hand to a buyer or lender than one trapped in a proprietary black box.

Verified data for certification and green financing. Quality-assured operating data makes it easier to document performance for LEED, BREEAM, DGNB, and ISO 50001, and to qualify for green loans, where Nordic lenders offer better terms to buildings that can prove their numbers.

And because it all runs on one open standard you own, you’re never locked into a single vendor’s roadmap — your data stays portable and your assets stay yours.

 

No rip and replace. It works on top of your existing BMS.

You don’t replace anything. ProptechOS connects to the BMS and IoT systems already running in every building across your portfolio — whatever the vendor — and normalises them onto the open RealEstateCore ontology. That common layer is what turns a collection of disconnected buildings into a portfolio you can manage as one.

It works in three steps. First, connect: we integrate the existing BMS and IoT sources in every building, any vendor. Then normalise: everything is mapped to one open standard, so every asset speaks the same language and becomes comparable. Then act: AI agents go to work lifting operating performance across the estate — under the guardrails you set.

Open standard. You own your data. No vendor lock-in.

What changes for the portfolio

NOI improves as operating performance rises building by building, and you can finally see where it’s rising and where it isn’t. Underperforming assets stop hiding, because everything is benchmarked on the same layer. Capital decisions get sharper when you can compare like with like across the whole estate. And every building becomes a more future-proofed, transaction-ready asset.

Proof from Sweden’s largest commercial portfolio

Vasakronan, Sweden’s largest commercial property owner with 168 properties and 2.4 million m², runs portfolio optimisation on ProptechOS. Before, operators read sensor data building by building, and the energy team spent hours cleaning and harmonising exports from separate systems before any analysis could start. On ProptechOS the data arrives already normalised, so the whole portfolio can be checked in minutes and every optimisation tracked for impact.

At Kista Science Tower, that cut subscribed district cooling power by 36%, worth around SEK 200,000 a year in operating cost. Rolled out across most of Vasakronan’s Stockholm properties, the target is a 10% reduction in subscribed heating and cooling power, around SEK 6 million a year.

36% lower subscribed district cooling power, Kista Science Tower

SEK 200k annual operating-cost saving, one building

SEK 6M annual saving targeted across the Stockholm portfolio

“We are thrilled to follow this as we scale this application up in the rest of the portfolio.” Nicklas Walldan, CTO, Vasakronan

Read the Vasakronan case study: https://proptechos.com/case-studies/proptechos-optimize-application-contributes-to-vasakronans-energy-optimization/