Meet Recogizer at EXPO REAL 2026

Recogizer is addressing data-transfer friction, making building data seamlessly accessible, and driving long-term asset value, all through the AI engines an organization uses today. For an asset manager, getting value out of building and real asset data has always meant the same routine: log into a dashboard, pull an export, hand it over to whoever needs it, and then finally the analysis could start.

The challenge is that this process still runs on siloed, manual work, which invites inaccuracies and eats up time. The data was always there; getting it to the right person at the right moment was always the slow part.

AI adoption is accelerating

According to a survey from IQ-EQ, 82% of firms still run asset management operations on manual tools, relying on spreadsheets and legacy systems for data collection, reporting and onboarding, even though 93% of those same firms consider technology a value creation lever that can add value throughout the investment lifecycle.

Another survey from PwC and ULI’s Emerging Trends in Real Estate Europe found that 75% of firms are now applying AI-based solutions, up from 51% a year earlier, and 86% expect to expand AI into asset management specifically within the next 18 months.

A live, structured data layer that plugs directly into that ecosystem is exactly what this next wave of technology adoption is about.

One connection. Any AI system.

That's exactly what the Recogizer Building Intelligence, our own model context protocol (MCP), is built for.

Instead of asking stakeholders on asset management and investment side to integrate yet another dashboard, Building Intelligence makes live technical and energy and HVAC equipment data available directly inside any chosen AI tool that an organization already uses -Claude, Microsoft Copilot, ChatGPT and others.

Building numerous AI integrations across platforms and sources is expensive and slow. Building Intelligence changes that: it is the first common language that lets any AI system plug into an outside data source through a single connection, instead of a custom build every time.

What this means for asset managers

For asset managers and capital management firms, the data difference is visible in hundreds of daily situations. To name a few:

• Investor-Reporting: 
  our AI feed-through allows MCP users to pull current energy figures per property on demand, instead of someone assembling them from an export.
• Transaction due diligence: 
  a potential buyer's AI asks about performance and compliance directly and gets an answer in seconds instead of days.

• Regulatory monitoring: 

  an AI can flag which properties are heading for trouble before it becomes one – whether that be stranding risk against the CRREM pathways or non-conformity with GEG / GModG.

Turn building data into portfolio performance

Every export pulled manually is time you organization is losing. It is time to automate data workflow from building performance and HVAC energy demand into the big picture, driving operational excellence, and unlocking stronger financial performance across portfolios.