Amin'ny alalan'ny fanindriana ny "Accept", manaiky ny hotehirizina ao amin'ny fitaovanao ianao mba hanatsarana ny dian'ny tranonkala, hanadihady ny fampiasana azy ary handray anjara amin'ny ezaka ara-barotra ataonay. Jereo ny politikan'ny tsiambaratelontsika raha mila fanazavana fanampiny.

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.

Nahoana no misafidy ny Innovatiana?

Ny fifohazinona izay misy dikany ary misy fiantraikany.

Mitaky modely outsourcing etika ho an'ny faharanitan-tsaina artifisialy izahay. Mandà ny famoriam-bahoaka atolotry ny ankamaroan'ny mpifaninanay izahay. Mampiasa vola amin'ny fanofanana sy fampivelarana ny mpiasa malagasy izahay mba hiantohana ny fanatsarana sy ny fitohizan'ny ekipa miasa amin'ny raharaha fampiasa amin'ny mpanjifanay.

Sary mamaritra ny etika

Fitsipi-pitondrantena

Lavinay ilay antsoina hoe fomba fanao "fandraisana an-gazety": mamorona asa azo antoka sy manan-danja izahay mba hanomezana anao ny dikany sy ny fiantraikany ary koa ny mangarahara amin'ny fiavian'ny angon-drakitra ampiasaina ho an'ny AI.

Modely iraisana

Mandray ny ekipanay eto Madagasikara izahay ary manofana azy ireo amin'ny fikarakarana angon-drakitra sy ny fametrahana anarana ho an'ny AI. Ny karama dia sahaza tsara amin’izay asa ho atao ary manampy sy mampitombo fihofafana ho an’ireo ekipanay

Kisaina mpihantina

Fitantanana eo an-toerana

Ny asa rehetra nankinina taminay dia tantanan'ny mpitantana miteny Anglisy sy Frantsay: ny interlocutor manana tombontsoa manokana. Izy io dia manetsika ekipana Labelers data mba hahatratrarana ny tanjonao ary manolotra fe-potoana azo antoka.

Kisaran'ny tahan'ny fifaninanana

Tahan'ny fifaninanana

Manolotra fepetra azo isafidianana izahay, ho an'ny fanomezana ny vidin'ny fanambyreo sy ny fanananareo. Miampanga ny asa izahay (ohatra: "mametraka sary 50.000 miaraka amin'ny baoritra misy baoritra"): tsy misy famandrihana, tsy misy saran'ny kaomisiôna.

Matoky anay ny mpanjifanay

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.

Andramo izao: Hiverina any aminao izahay ao anatin'ny 24 ora!

Jereo ireo modely AI anao miaraka amin’ny angon-drakitra miaraka amin’ny fiofanana avo lenta!