Why Accuracy is the Real Insight
In the Commercial Real Estate (CRE) industry, insights are only as good as the data that powers them. While some solutions focus on trendlines and general patterns, Fyma delivers the most accurate data in the market, ensuring every decision is grounded in reality—not guesswork.
What is ‘Accuracy’ in CRE Analytics?
Accuracy means one thing: precision. If 100 people walk into a building, your system should count 100—not 95 or 85. At Fyma, we’re consistently achieving accuracy levels of 97%+.
Most vendors throw around high percentages, but they often reflect best-case conditions. Fyma’s accuracy holds up in real-world, messy, dynamic environments—because that’s where CRE decisions actually happen.
At Fyma, we don’t just talk about accuracy—we prove it. In a UK co-working space study, our technology analyzed two hours of entrance footage during peak traffic hours and achieved 99.78% accuracy, missing just one person out of 455. That’s real-world precision, not just a lab-tested claim.
Why Accuracy is More Important Than Generic Insights
Some platforms sell “insights” as a replacement for precision. But what good are insights if they’re based on incomplete or inaccurate data?
- Inaccurate data leads to inefficient pricing, poor asset performance, and missed revenue.
- Inconsistent systems create stress and uncertainty for CRE teams trying to justify decisions to stakeholders.
With Fyma, you get accuracy first—then insights built on a foundation of reliable, real-time data.
Placing Accurate Data in Context
At Fyma, we consistently hear from our CRE clients that they don’t have the appropriate tools to understand people’s behaviour. Importantly, the value lies in the ability to interpret this behaviour in context. If a commercial real estate operator cannot benchmark their data, they cannot act on it. This can lead to inefficient pricing, poor asset performance, and missed revenue opportunities.
Fyma’s technology is designed to provide reliable, actionable insights, identifying key trends like peak hours, movement flow, and long-term usage patterns—giving CRE owners the insights they need to optimize their spaces. That means, beyond knowing whether 15,000 or 15,500 people entered a building, our clients have the ability to see month-to-month and year-over-year trends, track how space usage changes and what factors drive sales, engagement, or occupancy levels. Consistent accuracy enables trustworthy trends and data-driven decision-making.
Fyma aggregates and compares real-time data across portfolios, asset types, and locations, giving owners unparalleled visibility into market trends and performance gaps – helping to unlock for our clients the power of real estate benchmarking at scale.
How Fyma Delivers Market-Leading Accuracy
- Advanced Machine Learning Models: Continuously trained on diverse real-world datasets.
- Works With Existing Infrastructure: Uses your current CCTV—no expensive new installs.
- Actionable in Real Time: From footfall spikes to occupancy dips, you’ll know instantly.
- Validated Visually: Accuracy is proven, not promised—with visual confirmation always possible.
Real-World Case Study: Runway East Bloomsbury
In a complex co-working space, Fyma achieved 99.78% accuracy in tracking footfall during the busiest times of the day. That’s not a theoretical benchmark—it’s a tested result. We missed one person out of 455. Most competitors wouldn’t even tell you their margin of error.
Don’t Just Trust Data—Validate It
Unlike other methods like infrared sensors or pressure pads:
- Fyma provides video-backed validation so you always know how data was captured.
- We offer stable, high-accuracy results, no matter the location or camera quality.
Why Computer Vision is the Best Approach
There are many ways to measure movement and occupancy—infrared (IR) sensors, motion detectors, pressure pads, and more—but they all have limitations:
- Limited scope – IR sensors can only count entry/exit but miss in-depth movement tracking.
Hardware dependency – Traditional sensors need physical installation, maintenance, and replacement.
No validation – Sensor data is a black box—you have to trust the output without seeing what happened.
This is where computer vision has a significant advantage:
- With traditional sensors, there’s no way to verify whether the detection was correct—you have to trust the numbers they provide.
- Fyma’s computer vision allows for easy validation— we can visually inspect how detection happens and confirm accuracy using real footage in multiple scenarios.
How Fyma’s Computer Vision Solves These Issues:
- Works with existing cameras—no need for new hardware.
- Tracks more than just footfall—space usage, movement patterns, and dwell times.
- Improves over time—with software updates, not expensive hardware replacements.
- Easy to validate—with real video proof instead of just numbers.
Our Accuracy Drives Better CRE Decisions
Yes, trends matter. But only if they’re based on consistent and accurate data. Fyma helps you:
- Benchmark portfolio performance across locations
- Identify peak hours and usage flows
- Optimize tenant mix and space allocation
- Track occupancy and movement in real time
Why Fyma Outperforms the Competition
| Feature | Fyma AI | Manual Counting | Infrared Sensors | Competitor AI Solutions |
| Accuracy | 99.78% (Real World) | 60-80% | 70-90% | Varies (80-95%) |
| Setup Time | Minutes | Days/Weeks | Weeks/Months | Weeks |
| Cost Efficiency | 112x cheaper | Expensive | High Installation & Maintenance | Moderate-High |
| Real-Time Data | Yes | No | No | Some |
| Privacy-First | Yes | Yes | Yes | Varies |
Don’t Settle for Generic Data
You deserve more than vague insights and unreliable trendlines. With Fyma, you get the most accurate data available in CRE analytics—backed by real-world testing and visual validation.
In one real-world case, we missed just one person out of 455. That’s what true accuracy looks like.
Want to see it in action? Book a demo and experience the Fyma difference.