Machine Learning for seamless Inspections helps clients capture, detect & locate work site issues & create instant inspection reports using a project specific app and Visual Machine Learning. We help shorten inspection cycles by 80% turning a tedious manual tasks into a streamlined efficient process.


Why Machine Learning matters

Golf course maintenance is changing rapidly with the emergence of mobile devices, sensors and cost-effective drones and mapping tools. GolfGage will help you take advantage of these technologies to monitor the condition of your course, clubhouse and machinery. GolfGage facilitates sharing & updating work records with your team. In times when water consumption and efficiencies become increasingly relevant it is imperative to identify, track and solve issues as early and with as much information as possible.

What does the Mobile Maintenance App do?

Our Golf Maintenance App allows to record & monitor course relevant issues, assign maintenance tasks to team members and track their work progress. Issues can be recorded with the App while walking the course or through a map based interface using satellite, drone and CAD maps. GolfGage can also read and display IoT sensor data via its API. Your team will update you on their work progress and provide images to keep you in the loop. With GolfGage you always have a complete overview on the current condition of your course.


Is similar to DroneDeploy or Pix4D?

GolfGage imports the maps you generate in DroneDeploy & Pix4D and allows you to use these to display & visualize your course maintenance observations & records. Maps can also be used to identify issues directly, e.g. invasive turf patches and wet areas. You can also apply filters to imported NDVI maps to highlight problem areas. Once you’ve identified an issue on a map you can generate a work order, e.g. spraying fungicide, or request a more thorough ground inspection to add ground images and further details to that work record.

What map formats are compatible with ?

You can import maps to GolfGage or import them directly from selected web applications. This way you can use the software tools you are most familiar with and then upload the outputs to GolfGage. We fully integrate with DroneDeploy allowing you to upload maps straight from their website to GolfGage. GolfGage also accepts GeoTIFF, MBTiles or non-georeferenced PDF and image files (PNG, JPEG, etc.) which can then be georeferenced directly in GolfGage. No worries, we developed a simple georeferencing tool that anyone can use.

Why do we still need to visually inspect a work site?

Golf Clubs, Parks and Resort facilities face hundreds of small issues around their course or property. Tracking these can never be achieved entirely from the air. That is why GolfGage is build around the concept of ground truthing where information gained from aerial maps is supplemented with detailed case records as seen from the ground. GolfGage has designed a Geospatial FieldApp that allows you to track all issues and records related to maintenance in a simply beautiful app. If you already use WhatsApp to share course observations then you’ll love GolfGage!

Do we need to know how to operate a drone?

No, works perfectly without drones and it comes with it’s own google-like set of satellite and street maps by default. Every club usually has some mapping materials such as aerial maps, satellite maps, CAD drawings highlighting different systems installed (irrigation & drainage network). GolfGage will make it easy to add these to your workflow. And if you are using drones to map out and monitor your course you can import these as well to visualize & monitor course observations and compare maps to spot changes over time. Features



Our drag & drop Form Builder allows you to build, distribute and manage customized, lightweight geospatial apps across standard mobile devices. All without the need for specialized hardware, software or training. Replace all your paper forms while keeping your golf course management methodology and expand it with a powerful location data collection tool. Add photos & videos to your records. Link assets using barcodes to records. Collected data can then be visualized in interactive tables and maps.


Start collecting inspection data while on site and record your observations in an efficient streamlined manner. Observations are then synchronized in near real-time with our central database and shared across all your other devices. This ensures that everybody is well informed and up-to-date. Record details and their location are displayed on a dashboard and optionally linked to specific CAD or Drone Map to understand the record’s location context.


Using our API we can help you integrate Machine Learning Models into your workflow. integrates with Visual Machine Learning models served via an API to analyze inspection images an auto-assign the corresponding records to specific departments or categories. This ML enhanced workflow can dramatically decrease post inspection workflow and increase reaction time to reported issues.

Design an ML training workflow to turn your old inspection records into a machine learning model that can then integrate into to enhance your workflow.


You can export your records as CSV, XLS or via API (JSON). This allows you to integrate easily into your system and make use of external applications. You can use on it’s own or as part of a more complex system workflow.


Overlay your observed field records on satellite maps, drone acquired maps or even building plans and technical drawings to understand their geospatial context. includes a full fledged map system that can display orthomosaic, elevation and NDVI maps. This includes building plans as long as they are location referenced. All Maps and records are synched with the Mobile and Web App and can be taken into the field while collecting field records on site.

Screenshots of Mobile & Web App