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Health & Pharmaceutical Industry

We're simplifying data preparation and labeling in Health & Pharma

In medicine, artificial intelligence and its applications make it possible to improve the quality of care. The medicine of the future includes AI applications for monitoring patients, assisted operations or even personalized treatments thanks to the cross-checking of big data. These health AIs therefore need a large quantity of data labelled beforehand.

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You are a doctor, researcher or Data Scientist working in Health & Pharma

We have sourced and labelled hundreds of thousands of images and videos for AI applications in the health sector. The data was used to train models to predict the course of a disease or to facilitate diagnostic and therapeutic decision support.

AI pathology detection applications

Deep Learning applications exist in image processing, for example to identify possible melanomas in skin photos or to detect diabetic retinopathies on retinal images. Their development requires large training samples: 50,000 images, in the case of melanomas and 128,000 in the case of retinopathies, were necessary to train an algorithm to identify the signs of pathologies (source: Inserm).

Medical surgery video processing

We participated in the annotation of images or videos of medical operations — to train AI models for the detection of pathologies. Our Data Labelers working on these use cases have good knowledge of anatomy (former medical students retrained in computer science or bioinformatics students, for example) and have the necessary experience to respond to complex requests.

Text recognition for companion robots

You have no doubt heard about assistance robots for the elderly or frail. This service AI aims to imitate living things and to interact with humans. As with ChatGPT, its construction involves large text annotations (text recognition), such as Natural Language Processing (NLP), to train models that will be used to simulate these interactions.

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 use the most powerful tools on the market to annotate hours-long videos in order to extract valuable information. These tools allow us to monitor the activity of our Data Labelers in real time!

We help startups and innovative companies develop artificial intelligence products and models that automate a first level of analysis and provide “diagnostic assistance” to practitioners!

Many of our Data Labelers are specialized - in medicine and health, they have excellent knowledge of anatomy that allows them to handle the most complex labelling tasks.

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

👉 Ask us for a quote