AI-supported Post-Processing of raw GNSS (RTK, PPK, PPP). Tight sensor fusion with inertial sensors (IMU), odometry, and optical sensors.

Hardware-independent: Supporting sensors of all grades and manufacturers

Powerful batch-processing engine designed for large amounts of data. Reprocess thousands of data sets with one click!

Fast and secure: Our powerful computing cluster is hosted in Germany under EU laws.

Serving many industries: infrastructure mapping, geophysical surveying, airborne photogrammetry, automotive R&D, and others.

OS independent: can be operated from any device (Windows, Mac, Linux, Android, iOS, ...)

Step 1: Get in touch: Tell us about your positioning application and set-up, and upload some test data using our Cloud Upload Tool.

Step 2: We will create your individual Positioning Pipeline, process your test data and share the results with you for free.

Step 3: Purchase an AlgoNav Positioning Cloud Plan. Your Positioning Cloud account will be created.

Start processing!

Batch Processing: Once your Positioning Pipelines are in place, you will benefit from our very powerful batch engine: Process thousands of data sets with a single click!

Efficiency Boost: Your processing jobs will be executed in our computing cluster on many CPU cores in parallel. Process 1,000 and more hours of data within one minute!

API-based integration: Pro and Enterprise customers can integrate the AlgoNav Positioning Cloud remotely into their local processing pipelines using API calls. You can fully automatedly add data sets and create new processing jobs.

Unlimited Re-processing: : Our plans include unlimited re-processing of your data sets for free. Each data set is only credited once.

Step 1: Reading your original log files: Many file formats are generically supported, including RINEX, Novatel SPAN, JPS, CSV, and many more. If your sensor's log file format is not yet supported, we will add this functionality. We avoid intermediate file formats, keeping things simple and efficient

Step 2: Pre-Processing Steps are being executed, confirming the plausibility of all input files, and of the data set as a whole. Required external files are being identified and downloaded automatically, like GNSS reference station data or atmospheric models.

Step 3: Processing your data set using a pre-defined job template, including all of your custom parameters settings.

Step 4: Generation and provision of output files: Several formats are generically supported for outputting your point and trajectory results, including customizable CSV and binary files, KML, and others. You can choose from a large set of possible output columns, e.g. the estimated position uncertainty, the number of satellites used, the ambiguity fixing status, and many more.

GNSS receiver log file formats of all brands are supported, as long as a full file format documentation is available. This is (mostly) the case for Novatel, Javad, Trimble, ublox, and many more. High log data rates (100 Hz and more) are supported.

Inertial Measurements Units (IMUs) of all brands and grades are supported. If a log file format is not already supported by our software, documentation may be required on how to access the raw accelerometer and gyroscope measurements.

Auxiliary Sensors of various types can be integrated into your positioning pipeline, like odometers, optical sensors for visual odometry, barometers, magnetometers, and others.

Our unique positioning cloud architecture in conjunction with the Positioning Pipelines as explained above, we can implement virtually any customer-specific modules.

Examples: Specific strategies used in the positioning algorithms; specific pre-processing/pre-evaluation of sensor data; special output formats, plausibility checking and QCing of the positioning results.

Customer Modules are confidential (under NDA, if requested) and cannot be accessed by other customers.