Smart Eye AI-X Description
The AI-X represents the latest advancement in Smart Eye’s lineup of compact and high-performance eye trackers, specifically engineered for eye tracking research related to screens measuring up to 24 inches in marketing, UX, and media contexts. Drawing from our extensive experience in the automotive sector, we understand the critical need for effective solutions that are also budget-friendly. This insight, combined with two decades of expertise in eye tracking technology, has culminated in the creation of the AI-X, which excels as a high-performance eye tracker, making it ideal for large-scale studies involving numerous participants. Its compact design enables researchers to easily relocate their studies beyond traditional lab environments, transforming any space into a mobile research lab simply by connecting the AI-X to a laptop. Furthermore, the AI-X’s versatile construction facilitates seamless transitions between various projects, screens, and applications, ensuring that users can adapt quickly to changing research needs. This adaptability is key for researchers looking to maximize their efficiency and effectiveness in gathering valuable data.
Smart Eye AI-X Alternatives
Workable
Workable stands as the world's foremost recruitment and human resources management platform. We equip internal recruiters, hiring teams, and HR experts with a plethora of avenues to discover highly qualified candidates, facilitating seamless collaboration in the quest to identify, recruit, onboard, and oversee top-tier talent. Businesses that employ Workable experience accelerated transitions from requisition to offer letter thanks to our array of automated and AI-driven tools that streamline candidate sourcing, simplify decision-making, optimize the hiring workflow, and elevate employee management.
Established in 2012, Workable has made substantial contributions to the hiring efforts of over 27,000 companies, aiding in the selection of 1.5 million candidates. Our global team of over 250 professionals spans locations in Greece, Australia, the United States, and the United Kingdom, serving a diverse clientele, including esteemed organizations like Starling Bank, JOEY Restaurants, RyanAir, among others.
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Eyezag
Eye tracking is a prevalent qualitative research technique utilized in market research, predominantly by larger firms that often operate their own dedicated laboratories. As a result, studies employing this method tend to be both costly and time-intensive, typically limited to a select number of projects and participants. In the context of analyzing user interactions on websites and interfaces, researchers gather visual data alongside mouse movement recordings. Due to the need for specialized and expensive equipment, participants generally must be present in a laboratory environment. Consequently, the high financial burden associated with eye tracking has led to its infrequent use in the UI/UX field, making researchers seek alternative methods that are more accessible and cost-effective. This lack of commonality in eye tracking usage underscores the challenges faced in integrating advanced research techniques into broader design practices.
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GazeInsight
Our innovative technology transforms an ordinary webcam into a highly accurate eye-tracking device. Leveraging advancements in machine learning and computer vision, we precisely monitor eye movements, enabling you to extend your research beyond conventional lab settings and engage a vast number of participants. With our online platform, remote usability research becomes seamless, facilitating UX studies on both desktop and mobile devices. You will gain access to detailed session recordings, allowing you to experience user interactions firsthand. This tool enables you to track consumer attention and evaluate the effectiveness of your brand perception and marketing strategies. GazeRecorder is versatile enough to accommodate any content type, including banners, videos, and live web pages. You can recruit testers from around the world, as they simply require a computer equipped with a webcam. Immediate access to results empowers you to make timely decisions. By inviting participants to conduct tests on their own devices in the comfort of their homes, you ensure they remain in their natural environment, leading to more authentic feedback. This approach not only enhances the quality of data collected but also broadens the scope of your research initiatives.
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Integrations
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Company Details
Company:
Smart Eye
Year Founded:
1999
Website:
smarteye.se/ai-x/
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
Customer Support
Business Hours
Online Support
Smart Eye AI-X Features and Options
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