Cherre, Powered by Snowflake, will enable joint customers to unify real asset data, deploy trusted AI workflows, and scale portfolio intelligence across the enterprise.

Together, Cherre and Snowflake eliminate the traditional divide between operational real estate systems and enterprise data infrastructure, enabling organizations to unlock new levels of performance, transparency, and AI-driven decision-making across their entire portfolio.

The market’s anxiety about AI and commercial real estate is, in a way, asking the wrong question.

We’re kicking off the 1H26 leg of our 2026 World Tour with a handful of U.S. stops, and we’re showing up with intention. Think private meeting spaces, standout booth experiences, VIP moments, and the kind of conversations you actually remember after the conference ends.
If you’re attending any of these events, we’d love to connect.

91% of mid-market companies have adopted generative AI, yet 92% encountered challenges during rollout. A small group of teams are quietly solving the foundation problem to pull ahead.

Multifamily has entered a defining moment. AI is no longer an experiment – it is becoming operational. During NMHC’s OPTECH 2025, leaders didn’t discuss hypothetical use cases; they showcased live deployments, automation wins, and the next wave of agentic innovation taking shape across leasing, operations, compliance, and portfolio performance.
But the most important insight was also the simplest: Multifamily AI will only scale on a strong data foundation.

Whether through direct integration, managed software instances, or intelligent extraction tools, adopting a modern data strategy is the only way to move from managing by hindsight to leading by foresight.

I’ve lived on both sides of the software relationship, and and here’s the thing: most clients aren’t fully aware of the potential they have to influence outcomes and maximize the value they receive.

While data scientists and engineers effectively describe AI’s technical capabilities, the message often gets lost on the very people who want it most: the end users who will interact with it daily. As someone who bridges the gap between engineers and the business – and isn’t afraid to make a near-term prediction – here is an example of what a routine exchange between an AI Agent and an Asset Manager could look like in the very near future.

The Cherre Data Mart – a creative installation unveiling this month in Las Vegas at OPTECH – transforms the abstract world of data management into something everyone understands: a grocery store.