Disclosure: This guide is published by ProptechOS, which appears on the list. We used the same criteria for every platform, including our own, and we note where competitors are the stronger fit.
Almost every building technology vendor now says it uses AI. Far fewer let AI take action. An agentic building platform is different from a dashboard with a chatbot on top. Its agents read live building data, decide what to do, and then write back to operational systems, such as changing setpoints, raising work orders, or triaging alarms. All of this happens inside permissions and audit trails that a human operator controls.
This guide covers European-headquartered platforms that fit that definition, or are moving toward it. It is aimed at property owners, asset managers, and facility teams operating under EU rules.
How we evaluated the platforms
AI in building operations can be sorted into three levels of capability: conversational (answers questions), analytical (recommends actions), and operational (executes and verifies actions). We rated each platform against five criteria, adapted from our vendor-neutral checklist for evaluating agentic AI platforms:
- Write-back and autonomy. Can agents act on building systems, or only recommend actions?
- Scope. Does the platform cover a single domain, such as HVAC, or work across systems like BMS, FM, energy, and tenant data?
- Open data model. Is building data structured in an open, portable standard such as RealEstateCore, or locked into a proprietary schema?
- Governance. Does it offer per-agent permissions, human-in-the-loop controls, and audit logs? These matter more now that frameworks like the EU AI Act are pushing platforms toward deeper explainability and audit features.
- Fit with existing buildings. Can it run on top of the BMS you already have, without a rip-and-replace? See what makes a building agent-ready.
Quick comparison
| Platform | HQ | Primary scope | Agentic maturity | Best for |
|---|---|---|---|---|
| ProptechOS | Sweden | Cross-system operations layer | Operational | Vendor-neutral portfolios that want agents across all systems |
| Siemens Building X | Germany | Full building suite | Operational (HVAC) + agents | Estates already on Siemens infrastructure |
| aedifion | Germany | Technical building operations | Analytical → operational | DACH portfolios with heavy compliance requirements |
| Myrspoven | Sweden | HVAC optimization | Operational (single domain) | Autonomous HVAC savings on an existing BMS |
| Schneider Electric EcoStruxure | France | Energy, power, and buildings | Analytical, expanding | Electrically intensive sites and energy management |
| Kiona | Norway | Heating and energy optimization | Operational (single domain) | Nordic heating-dominated portfolios |
Maturity ratings are our editorial assessment based on public product information as of September 2026.
1. ProptechOS (Sweden)
ProptechOS is a building operating system built as an execution layer, not a reporting tool. It connects to your existing BMS and building systems, structures everything on the open RealEstateCore ontology, and hosts a growing workforce of AI agents for energy optimization, alarm triage, fault-to-work-order automation, onboarding, and reporting, all governed by per-agent permissions, graduated autonomy, and full audit logs.
The open data model is its main differentiator. Data is harmonized using open standards like RealEstateCore and exposed through the Model Context Protocol (MCP), so agents from other vendors can work with the same building context. Because building data lives in a published standard rather than a proprietary format, applications on top of the platform can be swapped without rebuilding the data layer.
- Proof points: Eufemia, a KLP property in Oslo, cut energy use by 31%, equivalent to 292,000 kWh per year. Vasakronan used the Optimize application to cut energy use by 36%.
- Entry point: A free plan connects up to 10 IoT devices from one building, is fully featured, and has no time limit.
- Consider alternatives if: you want one vendor to supply both field hardware and software. ProptechOS sits above your existing systems and does not replace them.
2. Siemens Building X (Germany)
Among the large incumbents, Siemens has published the most detail about its AI roadmap. Industry analyst Memoori describes Building X, its four named generative AI agents, the Comfort AI closed-loop system, and the five-stage maturity roadmap as the most technically complete AI-in-buildings stack among the major incumbents.
Comfort AI is the most mature autonomous component. Its ML model predicts optimal zone setpoints every 15 minutes using live room temperature, valve positions, solar radiation, outdoor weather, and occupancy data. Siemens is also extending the platform through partners. In January 2026, BizzTech announced a partnership to integrate its HALØ agentic orchestration system natively with Building X. Under that integration, agents can propose or execute actions such as tuning setpoints or sequencing work orders, with human-in-the-loop governance and full audit trails.
- Proof point: Across 56 offices on five floors, NWT used Comfort AI to automate HVAC operations and achieved an average 6.4% monthly energy cost saving.
- Consider alternatives if: your portfolio mixes many BMS vendors and you want an agent layer that no single equipment manufacturer controls.
3. aedifion (Germany)
aedifion is a Cologne-based PropTech focused on optimizing technical building operations. It offers a modular cloud platform that collects real-time operational data from buildings, analyses it with AI, and autonomously controls building systems. Its AI Assistant adds a conversational layer that delivers answers with sources, reference data points, diagrams, and next steps.
It is growing quickly across Europe. aedifion now manages 582 commercial properties covering around 9.6 million square meters in Germany and ten other countries. Its strength is regulatory fit. Customers report that the TÜV-certified solution helps them meet requirements for energy-efficient building operations under § 71a of the German Buildings Energy Act (GEG).
- Consider alternatives if: you need agents that work across FM, lease, and tenant systems, not just technical building equipment.
4. Myrspoven (Sweden)
Myrspoven covers a single domain, HVAC, and does it with genuine autonomy. The company argues that a system that only monitors and advises is a dashboard, and that true AI optimization writes setpoints directly to the BMS without manual input. Its myCoreAI engine recalculates and pushes updated setpoints every 15 minutes.
- Proof point: At Gallerian Nyckeln in Sweden, Myrspoven’s AI control reduced electricity consumption by 23 percent.
- Deployment: It integrates directly with the existing BMS, and implementation typically takes a few weeks.
- Consider alternatives if: you need automation beyond HVAC. Myrspoven works well alongside a cross-system platform.
5. Schneider Electric EcoStruxure (France)
Schneider’s newest building platform is EcoStruxure Foresight Operation, which was due to enter beta and become more widely available in the second half of 2026. The company has also announced a multi-year initiative to build an agentic AI ecosystem for sustainability and energy management.
Right now, its AI is strongest on the energy and reporting side. Memoori notes that Schneider’s copilots focus on sustainability and compliance reporting rather than front-of-house building operations, so it is not yet competing at the agentic layer where Siemens and Johnson Controls are staking claims.
- Consider it if: electrical distribution, microgrids, or data center-style power management are central to your portfolio.
6. Kiona (Norway)
Kiona is a Trondheim-based specialist in heating and energy optimization. It was acquired by Carel Industries in 2023. Its Edge AI engine draws on knowledge of how more than 5,500 buildings behave under different conditions, and it proactively adjusts heat distribution. For example, it adds heat ahead of a sudden drop in outdoor temperature and accounts for free solar gain on sunny days.
- Consider alternatives if: you need agentic workflows beyond heating, energy, and peak control.
What about Noda, PassiveLogic, and other non-European platforms?
Several well-known agentic building platforms are not headquartered in Europe, so they fall outside this list. One common mix-up: Noda.ai is a Washington, D.C.-based company that launched what it calls the first agentic AI for 24/7 building operations automation. It is a different company from Sweden’s NODA Intelligent Systems, which specializes in AI-driven energy management for smart heating and cooling systems. Buyers comparing European options should also be aware of US and global vendors such as PassiveLogic, Facilio, Honeywell, and Johnson Controls.
How to choose an agentic building platform
- Match scope to the problem. If energy is your only goal, a single-domain optimizer like Myrspoven or Kiona can deliver results quickly. If you want to automate work across alarms, work orders, reporting, and energy, you need a cross-system layer. Here are 10 building tasks AI agents can automate today.
- Ask what the agent is allowed to write. Ask the vendor which systems their agents can change, under what permissions, and how every action is logged and reversed.
- Check who owns the data model. A proprietary schema ties every future agent to one vendor. An open ontology keeps agents portable across buildings and suppliers.
- Verify EU governance. Confirm where data is hosted, how human oversight works, and what documentation you would need as the deployer under the EU AI Act. Our session on permission policies and guardrails for AI agents covers the controls to look for.
- Combine layers where it makes sense. Many portfolios run a specialist optimizer for HVAC alongside a cross-system operating layer for everything else.
Frequently asked questions
What is an agentic building platform?
It is software where AI agents monitor building data, decide on actions, and execute them in operational systems such as the BMS or work order tools. Actions run within defined permissions and are logged for audit. This separates it from analytics tools that only recommend actions. For the full definition, see what is agentic building operations.
Do I need to replace my BMS to use agentic AI?
Usually not. All the platforms in this guide are designed to run on top of existing building management systems, reading and writing data through standard protocols and APIs. We explain why the two work together in BMS vs agentic AI: why the best buildings use both.
Which is the best agentic building platform in Europe?
It depends on your scope. For vendor-neutral, cross-system agents, ProptechOS is built for that model. For Siemens-heavy estates, Building X is the natural fit. For DACH compliance, consider aedifion. For autonomous HVAC alone, Myrspoven is a strong specialist.
How does the EU AI Act affect agentic building platforms?
The Act requires risk classification, human oversight, and documentation, and places responsibility on the deploying organization. Buyers should expect vendors to provide per-agent permissions, audit logs, and clear records of what each agent is allowed to do.
