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VideoInnovatiana is a leading French Data Annotation Service Provider. We are committed to revolutionizing the way businesses harness the power of labeled data for Artificial Intelligence applications. Our mission is to deliver exceptional data annotation solutions while upholding the highest standards of ethics and responsibility in outsourcing. At Innovatiana, we understand the pivotal role data plays in shaping the future of technology. That's why we have adopted the mantra "Fair Data, Trusted Hands." This slogan encapsulates our unwavering commitment to ethical practices, ensuring that every data annotation project is executed with integrity, transparency, and a deep sense of responsibility. Our team of skilled annotators / Data Labelers experts is dedicated to providing accurate and reliable annotations, tailored to meet the unique needs of our clients. We take pride in our ability to deliver high-quality labeled datasets that fuel advancements in machine learning, computer vision, and other AI-driven technologies. Innovatiana is not just a service provider; we are your strategic partner in navigating the ever-evolving landscape of data annotation. With a focus on building trust and fostering fair practices, we aim to contribute to the ethical development of AI solutions that benefit society as a whole.
Innovatiana has documented an Information Security Charter, with the objective to describe Innovatiana’s information security vision and objectives, and to ensure that development and management of its security policies and practices meet the broader vision and objectives. Objective of Innovatiana’s security approach is to ensure that its employees and clients process data and information in a safe and secure environment where data security is not a concern while fostering and not limiting innovation. To deliver a comprehensive suite of IT and information security governance and operations, Innovatiana relies on ISO/IEC 27001/2:2013 requirements and controls. Innovatiana, as a Service Provider, deals with diverse types of data and businesses. Innovatiana is committed to advise its customers on the regulations they are or may be subject to, and to propose a tailored and compliant delivery approach, depending on the nature of the data Innovatiana is dealing with. List of regulations that Innovatiana customers may be subject to: - Financial Services: future DORA regulation and EBA/EIOPA/ESMA & NCA guidelines on ICT & Security Risk, SWIFT CSP. - Personal Data: GDPR. - Health Data requirements (French HDS, HIPAA, ...). Innovatiana provides a Scalable Workforce and is commited to: - Advise its customers when selecting a Data Labeling tool or environment that is compliant with the regulations they are subject to ; - Secure workstations used by its workforce for accessing such environments (protection of laptops/computers as per good practices and regular training of employees and contractors). Innovatiana defines its risk tolerance as moderate: we accept the risks with our industry (Data Labeling Services) needed to conduct business. We use various controls to mitigate those risks but do not impose controls so strict that business operations would be significantly impeded.
Data preparation for AI Training via labeling thousands of medical videos. Project involved sourcing of Medical Data Labelers while maintaining a competitive blended rate.
Up to 15 Innovatiana's Data Labelers are involved in a Neurosurgery AI project. Objective of the project is to annotate multiple videos with Bounding Boxes / Polygons and to curate data to eliminate noise or irrelevant frames.
Our Data Labelers were involved in the R&D activities of a Smart Cameras company. Work involved annotating Sports Videos (Football, Basketball, Rugby, etc.) to train AI models embedded in cameras.
Labeling of hundreds of thousands of Real Estate Listings for Natural Language Processing (NLP) Models, using UbiAI and Prodigy platforms.
Project involved sourcing and labeling of hundreds of thousands of images in the Fashion and Luxury Sector (including major Frenchbrands) for training counterfeit detection models.
