Ajelix

Crew is an AI-driven recruitment and global HR platform aimed at optimizing the hiring process by linking employers with the top 1% of global talent, especially in engineering. This platform facilitates the search for qualified professionals by utilizing AI to evaluate a vast number of candidates, ensuring compliance, and managing payments and benefits. Employers can swiftly bring on board full-time or part-time engineers and data scientists with the necessary skills, providing a valuable solution for companies looking to cut down on the time and resources usually devoted to hiring while securing high-quality applicants. Crew's services are particularly advantageous for businesses aiming to grow their teams with specialized talent, irrespective of geographical limits.

Uiino is a story mapping tool that streamlines the creation and management of user story maps by enabling designers to construct these maps in plain text, either manually or with the assistance of an AI-powered Storymapper. This novel method removes the clutter of physical sticky notes and the challenges of traditional digital tools by offering a user-friendly, text-based system with clear tags for easy comprehension, built-in version control for monitoring changes, and an emphasis on collaboration. Designers and product teams might favor Uiino for its simplicity, which helps in visualizing the user journey and shaping a clear product roadmap without the distractions of complex software.

Kolena is an all-encompassing AI quality platform that provides automated testing, evaluation, and enhancement tools for machine learning models. It serves ML engineers, data scientists, and AI developers across a range of fields. Users may opt for Kolena due to its effectiveness in automating ML testing, comprehensive model evaluation features, and ability to enhance model quality and interpretability. The platform's adaptability in supporting varied AI tasks and data types, as well as its promise of saving time and boosting performance, makes it a compelling choice for organizations aiming to improve their AI development processes and remain competitive in the swiftly changing AI environment.