Smart Eye AI-X Reviews

Workable is recognized as the leading platform in recruitment and human resources management across the globe. We provide internal recruiters, hiring teams, and HR professionals with numerous resources to find highly qualified candidates, enhancing collaboration throughout the process of identifying, recruiting, onboarding, and managing exceptional talent. Companies utilizing Workable benefit from quicker transitions from job requisition to offer letters, thanks to our suite of automated and AI-enhanced tools that simplify candidate sourcing, improve decision-making, streamline the hiring process, and enhance employee management practices. Since its inception in 2012, Workable has significantly impacted the hiring processes of more than 27,000 organizations, assisting in the recruitment of 1.5 million candidates. Our international team of over 250 professionals operates from various locations including Greece, Australia, the United States, and the United Kingdom, catering to a wide range of clients, among them notable businesses like Starling Bank, JOEY Restaurants, and RyanAir. As we continue to innovate, our goal remains to empower organizations worldwide to build better teams efficiently and effectively.

RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.

The Gaze Intelligence Team possesses a wealth of knowledge in eye tracking, especially within scientific contexts and among industry experts. Their experience includes notable consulting engagements with SMI Sensomotoric Instruments, a prominent player in the eye tracking arena. Among their offerings, Pupil Invisible is recognized as the most advanced eye tracking glasses currently on the market, featuring cutting-edge Artificial Intelligence that allows for immediate insights without requiring any adjustments or calibrations, thereby operating effortlessly in diverse environments. This product is celebrated as the top-tier VR technology, boasting human-eye resolution, an integrated 100Hz Binocular Eye Tracker, Ultraleap hand tracking capabilities, and broad compatibility with various applications, including those available on SteamVR. In addition, EyeVido sets itself apart as a unique and cost-effective cloud platform specifically designed for efficient testing of web and mobile applications. Moreover, LiveTrack Lightning presents the first budget-friendly 500Hz eye tracking solution aimed at laboratory and research applications, significantly enhancing the resources available to researchers and professionals alike. The introduction of such innovative technologies is revolutionizing the landscape of eye tracking, making it more accessible and effective across multiple sectors. As a result, these advancements are expected to foster greater collaboration and exploration in the field.