Your Portfolio Data, Ready for Any AI
Your Portfolio Data, Ready for Any AI
At MIPIM 2026, BuildingMinds is taking a significant step toward making real estate data truly conversational. Here’s what’s changing — and why the foundation we’ve built makes it possible.
The real estate industry runs on data it can rarely use. Energy consumption scattered across legacy systems. Utility invoices stuck with property managers. Portfolio insights buried in spreadsheets that take weeks to compile. Ask a straightforward question — “Which buildings in our portfolio have the worst stranding risk?” — and the answer requires a small army of analysts to produce.
That’s the problem BuildingMinds was built to solve. We connect directly to meters, collect utility invoices, work with tenants and facility managers to gather what’s missing, and normalise all of it into one clean, auditable data layer. That foundation — reliable, structured, institutional-grade data — is what makes everything that comes next possible.
At MIPIM 2026 in Cannes, we’re taking the next step. We’re opening that data layer to AI.
“The future of real estate analytics isn’t another platform. It’s your data, made accessible, with AI doing the heavy lifting.” — Marek Sacha, CEO, BuildingMinds
What We’re Launching
Two new capabilities are being introduced at MIPIM. The first is a native AI Chat interface built directly into BuildingMinds — a conversational layer that allows users to ask questions about their portfolio in plain language and receive data-driven answers. No dashboards to click through. No exports to wrangle. Just a question, and an answer grounded in your own portfolio data.
The second is a full MCP (Model Context Protocol) server. MCP is an open standard that allows external AI agents — Claude, ChatGPT, Microsoft Copilot, or your firm’s own internal tools — to query your BuildingMinds data directly. This means that whatever AI toolkit your organisation already uses, it can now be connected to your portfolio data through BuildingMinds.
The vision is straightforward: you connect your portfolio to BuildingMinds once. From there, your data is accessible to the AI tools you choose, now and as those tools evolve. You’re not locked into a single AI interface — you’re building on a data foundation that works with all of them.
Why This Matters for Real Estate Funds
One of the most persistent challenges in institutional real estate has been the distance between raw portfolio data and the decisions that need to be made from it. Fund managers don’t fund carbon reduction as an abstract goal — they fund investments with clear financial logic. Asset managers need to prioritise capital allocation across hundreds of buildings. ESG teams need to translate operational data into the language of regulators and investors.
The data to answer these questions already exists inside BuildingMinds. What changes with AI is how quickly and easily that data can be turned into insight — and crucially, how accessible that insight becomes to everyone who needs it, not just those with the technical skills to extract it.
That shift — from data that sits in a platform to data that responds to questions — is what we’re beginning to unlock at MIPIM.
“Clients don’t fund carbon reduction. They fund investments with clear returns. AI makes it possible to give them the financial case — in a conversation, grounded in their own data.” — Jakub Golan, Chief Product Officer, BuildingMinds
Security Built for Institutional Real Estate
Opening portfolio data to AI raises legitimate questions about security, control, and auditability. Those questions deserve direct answers.
The BuildingMinds AI architecture is built around a simple principle: no client data leaves the BuildingMinds environment. Every query is processed within our infrastructure. AI reads only what it needs, only when asked — there is no bulk data extraction and no persistent AI access to client records. Every interaction is logged, traceable, and reportable for compliance purposes.
The platform is EU-hosted, GDPR-compliant, ISO 27001 and SOC 2 certified. For institutional real estate, where data governance is non-negotiable, that’s the baseline — and it’s one we’ve built into the architecture from the ground up.
The Context: Why Now
The pressure on real estate portfolios is compounding from multiple directions. CSRD, SFDR, and tightening EPC regulations are raising the bar on what adequate ESG performance looks like. Investor appetite for green-certified assets continues to grow across European markets. And the cost of inaction — brown discounts, stranding risk, regulatory penalties — is becoming increasingly measurable and increasingly priced in by the market.
The challenge for most funds hasn’t been willingness to act. It’s been the ability to move from data to decision quickly enough, and with enough confidence, to act effectively. Better access to portfolio data — through the AI tools that are already becoming part of how investment teams work — is a meaningful part of the answer.
What Comes Next
The MIPIM 2026 launch is the beginning of a longer journey. We’re introducing these capabilities now because the data foundation is ready — and because the AI tools that can use it have matured to the point where real value is achievable.
We’ll be expanding the scope of what the AI layer can do throughout 2026, informed by what our clients find most useful in practice. We’re not promising a finished product — we’re introducing a platform direction that we’re committed to building with our clients over time.
That approach reflects something we believe about enterprise software in general: the most valuable capabilities aren’t the ones announced at conferences, but the ones that become quietly indispensable in the day-to-day work of the people who use them.
Come see it at MIPIM 2026
We’ll be demonstrating the AI Chat and MCP server at MIPIM in Cannes. If you’d like to meet the team or see the platform in action, visit buildingminds.com or reach out at connect@buildingminds.com.
