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Internet & Software

We simplify preparation and
data labelling in
technology

Artificial intelligence is used almost systematically by new Web start-ups or historical Tech players. It is used for a multitude of tasks such as product recommendation, price analysis, chatbots or customer relationship management... The need for data labelling is never far away.

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You work in Tech (Internet, software,...)

We have sourced and labelled hundreds of thousands of images and texts (transaction annotation) for Tech players (Start-ups, Scale-up, etc.). This data can be used to design chatbots or recommend products: there are a multitude of use cases!

Optimizing the pricing strategy

AI can be used to analyze price and sales data on the Internet, to determine the best pricing strategies to maximize profits.

Product recommendation

AI-powered recommendation systems can use user purchase and browsing history data to recommend relevant products. AI can also use sales and marketing data to determine trends and opportunities for optimization.

Online support

Hybrid systems using chatbots and outsourced support can be used to answer customer questions about products, prices, and delivery times, as well as to aid in purchasing decision-making.

Why choose Innovatiana?

Data outsourcing with meaning and impact

We believe in ethical outsourcing in the service of artificial intelligence—far from the impersonal crowdsourcing of our competitors. Our commitment: actively investing in the training and continuous development of our Data Labelers & AI Trainers, ensuring lasting expertise and a dedicated team focused on the success of your projects.

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Ethical outsourcing

We build our teams directly in Madagascar, providing them with rigorous training in best practices for data processing and annotation for artificial intelligence. We ensure fair compensation, excellent working conditions, and real opportunities for professional growth

Inclusive model

We champion an inclusive model, firmly believing that human diversity is essential to the quality of data for AI. Madagascar—considered one of the most culturally, linguistically, and biologically diverse islands in the world—offers a unique foundation for creating rich, representative, and reality-grounded datasets

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Hands-on management

Each project entrusted to us is overseen by a Manager specialized in AI dataset creation—your dedicated point of contact. They coordinate a team of Data Labelers assigned specifically to your objectives and ensure clear, realistic timelines

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Competitive pricing

We offer simple and transparent pricing, designed to adapt to your actual needs. You only pay for what you use—task-based, with no subscriptions or hidden fees—featuring custom volumes and formats, all at the best quality-to-price ratio

Those building the AI of tomorrow trust us

In a sector where opaque practices and precarious conditions are too often the norm, Innovatiana is an exception. This company has been able to build an ethical and human approach to data labeling, by valuing annotators as fully-fledged experts in the AI development cycle. At Innovatiana, data labelers are not simple invisible implementers! Innovatiana offers a responsible and sustainable approach.

Karen Smiley

AI Ethicist

Innovatiana helps us a lot in reviewing our data sets in order to train our machine learning algorithms. The team is dedicated, reliable and always looking for solutions. I also appreciate the local dimension of the model, which allows me to communicate with people who understand my needs and my constraints. I highly recommend Innovatiana!

Henri Rion

Co-Founder, Renewind

Innovatiana helps us to carry out data labeling tasks for our classification and text recognition models, which requires a careful review of thousands of real estate ads in French. The work provided is of high quality and the team is stable over time. The deadlines are clear as is the level of communication. I will not hesitate to entrust Innovatiana with other similar tasks (Computer Vision, NLP,...).

Tim Keynes

Chief Technology Officer, Fluximmo

Several Data Labelers from the Innovatiana team are integrated full time into my team of surgeons and Data Scientists. I appreciate the technicality of the Innovatiana team, which provides me with a team of medical students to help me prepare quality data, required to train my AI models.

Dan D.

Data Scientist and Neurosurgeon, Children's National

Innovatiana is part of the 4th promotion of our impact accelerator. Its model is based on outsourcing with a positive impact with a service center (or Labeling Studio) located in Majunga, Madagascar. Innovatiana focuses on the creation of local jobs in areas that are poorly served or poorly served and on transparency/valorization of working conditions!

Louise Block

Accelerator Program Coordinator, Singa

Innovatiana is deeply committed to ethical AI. The company ensures that its annotators work in fair and respectful conditions, in a healthy and caring environment. Innovatiana applies fair working practices for Data Labelers, and this is reflected in terms of quality!

Sumit Singh

Product Manager, Labellerr

In a context where the ethics of AI is becoming a central issue, Innovatiana shows that it is possible to combine technological performance and human responsibility. Their approach is fully in line with a logic of ethics by design, with in particular a valuation of the people behind the annotation.

Klein Blue Team

Klein Blue, platform for innovation and CSR strategies

Working with Innovatiana has been a great experience. Their team was both reactive, rigorous and very involved in our project to annotate and categorize industrial environments. The quality of the deliverables was there, with real attention paid to the consistency of the labels and to compliance with our business requirements.

Kasper Lauridsen

AI & Data Consultant, Solteq Utility Consulting

Innovatiana embodies exactly what we want to promote in the data annotation ecosystem: an expert, rigorous and resolutely ethical approach. Their ability to train and supervise highly qualified annotators, while ensuring fair and transparent working conditions, makes them a model of their kind.

Bill Heffelfinger

CVAT, CEO (2023-2024)

Use cases in the industry

We have sourced and labeled thousands of images (“Bounding Box”, “Polygon”, “Keypoints”), using our own labeling environment (Label Studio instance or CVAT) or the environment of our customers. The data contributed to the training of AI models.

We moderated and validated thousands of product images (packaging and their combinations) and associated them with their unique references (bar code). The data was used to train a model that analyzes online prices in real time.

Several customers use our Data Labelers on a weekly or monthly basis for specific tasks of collecting data or validating the results of Artificial Intelligence. We guarantee them that the same team remains mobilized for the duration of the service.

Fuel your AI models with high-quality, expertly crafted training data!

👉 Ask us for a quote