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AI is transforming the automotive industry, from autonomous driving to in-vehicle assistance! We annotate your data accurately to train AI models that are robust, safe, and adapted to the challenges of smart mobility.

Are you in the automotive sector?

We have sourced and labelled hundreds of thousands of images in the automotive industry, especially for autonomous driving. The data was used to train models for object detection, trajectory tracking, semantic segmentation, and behavior prediction in complex road environments.

Autonomous driving and road safety

AI actively contributes to the development of autonomous vehicles by making it possible to analyze the driving environment in real time through the detection and interpretation of objects, pedestrians and road signs. High-quality data labeling is crucial for training these systems to anticipate complex situations on the road and improve safety.

Predictive maintenance

Thanks to AI, it is now possible to predict vehicle maintenance needs before a failure occurs. By analyzing data collected from embedded sensors, predictive models make it possible to optimize maintenance and reduce operational costs for businesses and individuals.

Customizing the user experience

Artificial intelligence is helping car manufacturers better understand consumer preferences. By analyzing user behaviors, brands can offer personalized experiences, ranging from embedded functionalities to optimizing interactions with after-sales services.

Why choose Innovatiana?

Outsourcing that makes sense and has impact

We demand anethical outsourcing modelfor artificial intelligence. We refuse the crowdsourcing proposed by most of our competitors. We invest in the training and development of our Malagasy employees to guarantee upskilling and continuity of the teams working on our customers' Use Cases.

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Ethical outsourcing

We refuse the so-called"crowdsourcing" practices: we create stable and valued jobs to offer you Outsourcing that has meaning and impact as well as transparency about the origin of the Data used for AI.

An inclusive model

We recruit our own team in Madagascar and train them in Data Processing and Labeling techniques for AI. We offer them a fair salary, good working conditions and career development opportunities.

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A proximity management

All the tasks entrusted to us are steered by an English-speaking and French-speaking Manager: your privileged contact. He mobilizes a team of Data Labelers to meet your objectives, and proposes a realistic deadline.

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Competitive rates

We offer flexible conditions, for a pricing adapted to your stakes and to your means. We charge by the job (example: "label 50,000 images with bounding boxes"): no subscription, no set-up fees.

Our customers trust us

We processed and annotated technical manuals, diagnostic sheets and maintenance histories in order to extract key information: symptoms, parts concerned, recommended operations. This data is used to automate diagnostics, to feed virtual agents, or to create repair assistance systems.

We moderated and categorized thousands of videos shared on YouTube, TikTok, or via dashcams, in order to identify cases of risky driving, frequent incidents, or specific behaviors (sudden braking, line crossing). These annotations make it possible to feed behavioral analysis or driving training models.

We annotated hundreds of thousands of embedded images to train models for object detection, semantic segmentation, and trajectory tracking. The elements identified include vehicles, pedestrians, road markings, signs, lights, etc. This data is essential for the development of robust and safe ADAS systems.

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Fuel your AI models with High Quality Training Data!