REKalibrate sits above your operational stack — one profile per person, one truth per customer, comparable across buildings, tenants and time.
Start with a free engagement diagnostic — we audit your funnel end to end and show you what today's stack can't see.
Every owner is asking the same things. Most answer them from anecdote, instinct and whichever report was pulled most recently — because the data to do better was never in one place.
Not because the data isn't there. Because it sits in seven systems that each saw a slice of the day, and reaching it is a data-engineering job your team was never hired to do.
Access, booking, WiFi, parking and events each hold one slice. Without resolution, you're counting swipes, not customers.
Engagement measured through a tenant app tops out at the download rate. Everyone who never installed it reads as absent, not unmeasured.
A portfolio-level number tells you nothing about the tenant quietly going dark a year before the renewal conversation.
Every vendor ships a dashboard for its own independent view of the world. Read side by side they disagree, and reconciling them becomes somebody's second job.
Site teams already have a full plate. Asking them to also collect, validate and analyze data across every building system isn't a stretch assignment — it's a different profession. So the work gets done thinly, or it doesn't get done at all.
Piping five sources into one warehouse gets you a bigger pile. Knowing which signals predict a renewal, and which are noise, takes domain expertise — not a data pipeline.
Ingest from anything you already run, standardize it into one model — profiles, metrics and definitions included — and benchmark any asset against its peers.
Documented APIs, vendor connectors, direct database reads, scheduled imports — and the spreadsheet someone emails on the first of the month. No system is too old to be useful.
150+ metrics, each with a single definition, and one profile per person rolled up to the organization paying the rent. That's what makes a number comparable across buildings and time.
Every number gets a peer set — blinded local and national comparisons, with the subject always held out of its own benchmark.
Every new source you connect makes the existing ones worth more. Add a system and it lands in the same model — opening questions the data couldn't answer the day before.
Insights arrive where the work happens — the app for your teams, the API for your stack, an MCP server for AI assistants, or a custom report for the board. Same model, same definitions, whichever door you come through.
Every tenant organization gets a net engagement score — the share of their people who are engaged, minus the share who have gone quiet. Scored now, observed, and recalibrated each quarter against what actually happened at renewal.
The point isn't the number. It's the twelve months of warning it buys you before anyone sits down to negotiate.
“The average hid who was at risk. Two tenants we'd written off had been engaged all along — invisible to booking data.”
Data Foundations is the core. Everything else reads from it — the numbers agree no matter which product you're looking at. Start with one product and expand as needed.
Track engagement honestly, so experience programming and operations are shaped by evidence rather than anecdote.
Measure how leased space is really used, match each customer to the right footprint, and predict what they'll need next.
A digital system of record for the garage — turning access, passes and transient demand into optimized parking revenue.
A branded captive portal that ties every session to a person and their organization — measuring amenity, room and event use without an app.
Bespoke models and analysis built on your foundation — for the questions no standard dashboard was ever going to answer.
Software we build for the gap in your stack — event check-in, dynamic tour apps for leasing teams, secure connectors for legacy on-premise systems.
A standardized model is the hard prerequisite for useful AI. Ours is exposed three ways — the app for your teams, the API for your stack, and an MCP server so agents can query your portfolio in plain language, with the same definitions and the same permissions.
Which means you aren't limited to the questions we anticipated. Ask something nobody built a dashboard for and the answer comes from governed, resolved data rather than a guess.
We'll run a free diagnostic on your existing engagement data and show you, specifically, what's missing and what it's costing.