We make Data Preparation and Labeling easy in the Healthcare sector
In medicine, Artificial Intelligence and its applications can improve the quality of care. The medicine of the future includes AI applications for patient monitoring, assisted operations or even personalized treatments thanks to the cross-referencing of voluminous Data. These healthcare AIs therefore need a large amount of Labeled Data upstream.
.png)
Are you a Physician, Researcher or Data Scientist working in the field of Health?
We have sourced and labeled hundreds of thousands of images and videos for AI applications in the Healthcare field. The Data has been used to train models to predict the evolution of a disease or to facilitate diagnostic and therapeutic decision support.
AI applications for Pathology Detection
Deep Learning applications exist in Image Processing, for example to identify possible melanomas on skin photos or to detect diabetic retinopathies on retinal images. Their development requires large learning samples: 50,000 images, in the case of melanoma and 128,000 in the case of retinopathy, were necessary to train an algorithm to identify the signs of pathologies (source: Inserm).
Processing of Medical Operations videos
We have been involved in annotating images or videos of medical operations - to train AI models for pathology detection. Our Data Labelers working on these use cases have a good knowledge of anatomy (former medical students converted to Computer Science or Bioinformatics students, for example) and have the experience to answer complex requests.
Text Recognition for Companion Robots
You've probably heard of assistance robots for the elderly or frail. This service AI aims to imitate the living and interact with humans. As for ChatGPT, its construction involves extensive text annotations (text recognition), such as Natural Language Processing (NLP), to train models that will be used to simulate these interactions.
Why choose Innovatiana?
Outsourcing that makes sense and has impact
We claim an ethical outsourcing model. We refuse the crowdsourcing proposed by most of our competitors. We invest in the development of our Malagasy employees to guarantee upskilling and continuity of the teams working on our clients' Use Cases
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.
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.
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 help startups and innovative companies to 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 specialists in the field of Medicine and Healthcare and have excellent knowledge of anatomy, which enables them to handle the most complex labeling tasks.
We use the most powerful tools on the market to annotate several hours of video to extract valuable information. These tools allow us to follow the activity of our Data Labelers in real time!
Fuel your AI models with High Quality Training Data!
