auticon Netherlands B.V. and AI Annotatielab B.V. are proud to announce auticon’s strategic acquisition of AI Annotatielab. This move marks a significant expansion of auticon’s expertise in data annotation and supervised machine learning while strengthening its position as a leading social enterprise in IT.
AI Annotatielab, known for its innovative approach in data annotation and its strong social mission,
brings its accumulated expertise, customer base and market position under the wings of auticon. Both companies share a deep commitment to combining technological solutions and social impact, which makes this partnership special.
Ruud Hageman, CEO of auticon Netherlands, said:
“This acquisition provides a unique opportunity to further strengthen our mission of neuro-inclusion and grow our AI services. By integrating the expertise of AI Annotation Lab, we can not only expand our technological capabilities but also increase our social impact.”
AI Annotation Lab has played a leading role in socially responsible data annotation. The company offers a work-study programme for benefit-eligible residents in the Gooi- en Vecht region with a distance to the labour market. The vast majority of its participants fall within the spectrum of neurodiversity. Although auticon will not continue the reintegration activities of AI Annotation Lab will not continue, the social impact will be maintained and quality and continuity will be guaranteed. In addition, both parties aim to provide a number of participants of AI Annotation Lab to create permanent jobs at auticon. Both companies are registered in the Register Sociale Ondernemingen.
Muriël Serrurier Schepper, director of AI Annotation Lab, emphasises:
“The partnership with auticon is a positive step for us. As part of auticon Netherlands, which is part of a global social enterprise in IT, we can continue our mission on a larger scale and thus make even more impact in the world of AI and beyond.”
In an era where AI is becoming increasingly important, data plays a crucial role. Unstructured data are transformed by human annotations into information understandable to machines, allowing AI models to be trained. The challenge here is that labelling data is time-consuming and that it must be done accurately so that high-quality datasets are created. Also, there are limitations in terms of privacy-sensitive data and outsourcing annotation abroad. Both AI Annotation Lab and auticon respond to this and thus serve leading companies, governments and semi-public organisations
