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« The collaboration with Ingedata allowed XXII Group to reach a high level of attractivity towards data scientists, since we are now able to provide them with abundant annotated data. These annotations are delivered by Ingedata through our dedicated team of 20 annotators working hand in hand with our team. Considering the very tight market conditions on the data scientists market, this is a considerable business result for us to grow fast. »

William Eldin CEO @XXII Group

Smart Cities welcome the future with innovation that gives results

A “Smart City” is an urban area that relies on information and communication technologies to build economic growth and improve quality of life and administrative structures.

Smart City technologies have the potential to create a whole range of benefits for residents, including dynamic management of resources, better public safety (e.g., with sensors and real-time monitoring), faster deployment of services to residents and “smart” business infrastructure that can be managed remotely.

Our offer

BOUNDING BOXES

CUBOIDS

POINT CLOUD

Bounding Boxes

Bounding Boxes is one of the most common segmentation techniques, as it outlines the shape of an object by defining its X and Y coordinates. They are fast to draw but might include some background that will lower the accuracy with which your model is detected.

bounding-boxes

Cuboids

3D Cuboids are used to add 3D information to 2D images. This segmentation technique is useful to estimate the depth of an object.

Cars_3D_cuboid

Point Cloud

Segmentation of Point Cloud libraries requires custom software and can be made more efficient by using sensor fusion and clustering techniques. But whether they are installed on autonomous cars, drones or satellites, LiDAR instruments open a whole new world to scene understanding in a 3D environment.

point-cloud

BOUNDING BOXES

Bounding Boxes

Bounding Boxes is one of the most common segmentation techniques, as it outlines the shape of an object by defining its X and Y coordinates. They are fast to draw but might include some background that will lower the accuracy with which your model is detected.

CUBOIDS

Cuboids

3D Cuboids are used to add 3D information to 2D images. This segmentation technique is useful to estimate the depth of an object.

POINT CLOUD

Point Cloud

Segmentation of Point Cloud libraries requires custom software and can be made more efficient by using sensor fusion and clustering techniques. But whether they are installed on autonomous cars, drones or satellites, LiDAR instruments open a whole new world to scene understanding in a 3D environment.

They trust us

We offer high-end services with our unique data production methodology and, more importantly, our wonderful team of 500. As a people company, Ingedata thrives on bringing talents from developing countries on the international AI scene.

Our expertise

Developing Smart Cities involves anticipating future transportation networks requirements, foresee smart buildings, etc.

Ingedata’s key differentiator is our ability to extract highly accurate information.

We have the largest photo interpretation team in Africa, with over 100 photo interpreters working on Earth observation projects.

We even work for the French and the US Departments of Defense, which demonstrates our ability to fit into projects with high confidentiality requirements.

By offering a high-precision geospatial imagery service, our team of experts provides accurate information to our clients, which gives them a recognized competitive advantage.

Client stories

Our Case Studies

Learn more about our approach and explore our case studies

The path to success

Why trust us?

With more than 100 projects in the field of ML model training, we are recognized for our remarkable know-how in production management and our guarantee of quality.

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Confidentiality

Externalizing your data can represent a significant risk in terms of loss, deterioration, or theft. At Ingedata, your projects are designed and carried out in-house, from our secure production centers.

Dedicated teams

Ingedata's annotators have degrees ranging from bachelor's to engineer's or doctorate in your field. All our teams work from our production centers and are trained in the specific requirements of preparing data for machine learning.

Specific Datasets

Accelerate the optimization of your algorithm by using data prepared specifically for you. We collect, enrich, and categorize your data to build your own datasets.

Autonomous management

We fit seamlessly into your current production mode, take over any coordination and adapt our team to your specific constraints in terms of data volume and quality.