Alternatives to iMotions

NoldusHub, the new all-in-one platform for research on human behavior, is a brand-new platform. This software suite will streamline research across multiple modes, providing high-quality information and insights into human behaviour. Multimodal research is essential to understanding a person's motivations and emotional state! Combining multiple types of measurements is difficult, especially if you are using several acquisition tools which need to be calibrated. NoldusHub® was developed to address this exact need. NoldusHub simplifies multimodal research, from setting up, connecting all devices to recording and visualizing the results in a clear manner. The entire process, from start-to-finish, is organized into a single platform. This saves you time, effort, and frustration.

Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety. Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.

Transform outdated ad testing methods by harnessing genuine engagement in real-world scenarios. We capture attention and emotions instantly, adapting to the rapid pace of online interactions. Our offerings include comprehensive science, innovative tools, and a robust platform designed to swiftly establish, assess, and react to human behaviors efficiently and affordably. By delving deep into both the subconscious and conscious aspects that drive behavior, we enhance our ability to predict, make informed decisions, and foster meaningful interactions. Our dedicated team, composed of experts in science, technology, and design, is driven by a passion for empowering everyday devices to observe and analyze how individuals navigate their lives. Utilizing a consent-based platform, we ensure that these devices can securely gather insights on the emotional, memory, and cognitive factors influencing human behavior during digital interactions. Over the course of seven years, we've amassed 2.5 billion data points across 89 countries and collaborated with 40 businesses, leading to the development of a unique solution that continuously monitors and interprets the impact of our digital experiences on human behavior, ultimately refining our understanding and approach. This continuous refinement positions us to better address the evolving needs and responses of individuals in a digital landscape.

Eye tracking serves as a distinctive method in behavioral research that measures eye movements and positions, effectively revealing what consumers focus on or ignore. Our remote eye tracking tests significantly reduce costs and time while allowing us to perform studies across more than 40 countries worldwide. To truly comprehend the behaviors of global consumers, it's essential to innovate beyond traditional long surveys and focus groups. Remote behavioral testing not only accelerates the process but is also cost-efficient, allowing for extensive testing on a worldwide scale. By employing various methods, we ensure maximum predictability in our findings. We specialize in creating advanced shopping and digital environments to adapt to evolving consumer needs. As we look ahead, the shopping landscape is poised for a transformative social revolution. The rise of social media, due to its accessibility, has become critical for brands in their operations. However, in this highly competitive digital space, enhancing a brand’s social presence poses significant challenges, particularly in cutting through the noise and ensuring that advertisements lead to actual conversions. This evolution in consumer interaction underscores the necessity for brands to continuously adapt their strategies.

Explore and confirm the perceptions, thoughts, and feelings of consumers that operate beyond their conscious awareness on both desktop and mobile platforms. Utilizing online webcam eye tracking enables the identification of focal points of consumer attention. Additionally, online emotion assessment captures the emotional reactions of consumers as they engage with digital products. Implicit online testing reveals the underlying attitudes and beliefs that may not be readily accessible to conscious thought. Our innovative product, UXReality, serves as a comprehensive alternative to traditional usability labs by providing a virtual research experience. This tool facilitates UX research for both desktop and mobile devices remotely. Users can benefit from high-quality session recordings, providing an unprecedented view into the user's perspective. The solution integrates AI-driven webcam eye tracking, emotion analytics, and feedback surveys, ensuring a thorough understanding of user experience. This approach not only enhances the research quality but also streamlines the usability testing process significantly.

At Eyeris, we are motivated by a commitment to excellence and inspired by individuals from all walks of life, including the dedicated night-shift worker, the nurturing parent, and the ambitious entrepreneur. Our technology is designed with every driver in mind, aiming to ensure a safer and more improved driving experience for everyone. In-cabin cameras serve as the primary sensors for monitoring both drivers and passengers, while Eyeris AI Software intelligently analyzes the complete interior environment captured by these cameras. This system enhances the capability to gather data from various sensor types, ensuring high accuracy through redundant information. Ongoing advancements in hardware are enabling us to run sophisticated AI software more efficiently and at greater speeds. Our state-of-the-art vision-based neural networks deliver a comprehensive array of insights. By utilizing cutting-edge image sensors, our pre-trained vision AI models are equipped to comprehend the full in-cabin environment across a diverse spectrum of lighting conditions. As we continue to innovate, we strive to set new standards in safety and comfort for all road users.

Cinematronic’s Biosignal Platform offers an all-in-one solution for researchers, UX professionals, and neuromarketing teams, combining eye tracking and physiological signal integration such as GSR and PPG. This powerful platform simplifies the process of collecting and analyzing complex biosignal data, with synchronized multi-sensor recording and real-time visualization. Built-in survey tools and AI-assisted interpretation make it easier to understand user behavior and responses during studies. From usability testing to marketing evaluation and academic research, the platform helps users study attention, arousal, and response dynamics without the need for coding expertise. With an intuitive interface, setting up and running tests is fast and simple, allowing users to focus on insights rather than technicalities. A 30-day free trial allows new users to experience the platform firsthand.

For obtaining precise and dependable information regarding facial expressions, FaceReader stands out as a highly effective automated system that can assist you significantly. It provides clear insights into how various stimuli influence emotions. The software is user-friendly, allowing you to save both time and resources efficiently. Additionally, it facilitates seamless integration with eye-tracking and physiological data. Numerous researchers have adopted automated facial expression analysis software to deliver a more objective evaluation of emotions. FaceReader is characterized by its speed, flexibility, objectivity, accuracy, and ease of use, enabling immediate analysis of data from live feeds, videos, or still images, thereby conserving precious time. Furthermore, it offers the capability to record audio alongside video, allowing researchers to capture the spoken interactions of individuals, such as during human-computer engagements or while observing different stimuli. As the premier automated system for identifying a range of specific traits in facial images, FaceReader effectively recognizes the six fundamental or universal expressions, making it an essential tool in emotion research. This broad functionality ensures that researchers can derive comprehensive insights into emotional responses with minimal effort.

Sticky by Tobii Pro is an innovative self-service online tool that merges survey questions with webcam-based eye tracking and emotion analysis, simplifying complex quantitative research. This efficient approach allows for time and cost-effective integration of eye tracking into studies, enabling the testing of extensive consumer panels as they interact with specific shelves, packaging, advertisements, or websites from their personal devices. Compared to traditional in-person research methods, Sticky by Tobii Pro offers large-scale quantitative eye tracking and emotion analytics at a significantly reduced cost. By utilizing the participant's webcam, market researchers can obtain insightful visual and emotional data regarding the effectiveness and appeal of both existing and new designs, particularly in areas like packaging and advertising. The platform seamlessly connects with online survey platforms and panel providers on a global scale, facilitating a distributed data collection process with swift turnaround times. This unique combination of features ensures that researchers can comprehensively understand consumer behavior and preferences with remarkable ease.

Pro Lab is an advanced eye tracking software tailored for executing experimental research using Tobii Pro hardware. This versatile platform assists researchers throughout the complete research process, accommodating both straightforward and intricate experiments. When combined with Tobii Pro hardware, Pro Lab forms a comprehensive solution aimed at exploring human behavior. It features an intuitive visual interface and specialized software tools that effectively support researchers at every stage of an eye tracking experiment—ranging from test design and data collection to detailed analysis. By promoting sound experimental practices, Pro Lab enables newcomers to easily embark on their eye tracking journey while also providing substantial flexibility to accommodate evolving research objectives. Furthermore, Pro Lab is specifically crafted to work seamlessly with our screen-based and wearable eye trackers, ensuring optimal and efficient processing of data streams for researchers seeking high-quality insights. This synergy enhances the overall research experience, making it more robust and insightful.

Accurate data is essential for effective decision-making, yet surveys often go unanswered. Solutions like RFID and Bluetooth (BLE) can be complicated and expensive. In contrast, each smart camera effortlessly evaluates numerous faces, generating metrics that include impressions, demographic details such as age and gender, and positive emotional responses over time. Setting up one of these cameras can be completed in less than 12 minutes, and users can conveniently access a live dashboard from any location at any time. By analyzing hundreds of faces, you can measure emotional well-being over time with an accuracy exceeding 95%. This allows you to gather crucial insights regarding which demographic groups are most and least engaged. You can conduct A/B tests to assess the effectiveness of various marketing strategies and content, providing clarity on what resonates with your audience and why. This technology equips you with invaluable data and insights that can enhance your sales, marketing, and research endeavors. It also enables automatic tracking of total impressions (non-unique) while measuring average dwell time, which helps in understanding consumer behavior better. By utilizing ethical facial analysis, organizations can reveal distinctive insights about their audience that were previously difficult to obtain.

Utilize our smartphone-based eye tracking technology to analyze how users allocate their focus while engaging with your digital products, promotional materials, or overall brand. Gain insights into user behavior by examining video recordings, heatmaps, click patterns, test durations, and task completions, which highlight the features that capture attention and hold significance. Participants can conveniently join your study using their smartphones within their everyday settings, ensuring a natural interaction experience. Acquire dependable data and conduct remote studies with assured accuracy, allowing you to save up to 80% of the time and 70% of the total costs compared to traditional in-lab testing, without compromising on quality. Instantly review and dissect the findings on Oculid’s platform, where you can analyze and contrast results across different participants and tasks, creating visual representations based on chosen metrics like taps and fixations. Witness the outcomes as soon as each participant finishes and submits their results, enabling you to make timely and informed decisions regarding your digital offerings. This innovative approach not only enhances the efficiency of your research but also empowers you to understand user engagement on a deeper level.

Incorporate facial recognition technology into your applications for an enhanced and secure user experience without the need for specialized machine learning knowledge. The system offers features such as face detection that identifies faces and their characteristics within images; individual identification that allows for matching against a private database of up to one million users; emotion recognition that assesses various facial expressions such as happiness, sadness, and fear; as well as the ability to recognize and cluster similar faces in photographs. You can identify faces based on a variety of attributes and integrate this functionality into your applications with just a single API call. The technology can operate seamlessly either in the cloud or on edge devices within containers. With a focus on enterprise-level security and privacy, it ensures the protection of both your data and the trained models. This platform enables the detection, identification, and analysis of faces in both images and video content, providing a robust foundation for a multitude of applications. Additionally, it supports the detection of multiple human faces along with their associated attributes in a single instance.

A technology-focused platform designed for consumer insights teams enables the mapping of insights across various media, digital, and shopper interactions, facilitating the creation of emotionally resonant customer experiences while optimizing the customer journey to enhance conversion rates. Additionally, it provides valuable insights into emotion, attention, engagement, and visibility. For UX teams, it offers a usability testing and analytics platform that evaluates attention, engagement, and emotional responses throughout user journeys, allowing for the testing of prototypes, mockups, websites, applications, and chatbots. This platform helps in pinpointing crucial UI elements that attract customer attention, ensuring the delivery of emotionally optimized user experiences that drive higher conversion rates. Furthermore, it leverages Emotion Insights to craft exceptional customer experiences, utilizing Facial Coding APIs to assess emotional responses at scale through single face emotion recognition, in-the-wild multi-face emotion recognition, and recorded video emotion analysis. The platform is capable of testing stimuli across diverse modes and channels such as videos, print advertisements, planograms, package designs, websites, applications, and chatbots, ensuring comprehensive insights into consumer behavior and emotional engagement. This multifaceted approach empowers brands to refine their strategies and create impactful interactions with their audience.

Affectiva, a leader in Emotion AI technology, is now part of the Smart Eye group, continuing to revolutionize how machines understand human emotions and cognitive states. Founded by Dr. Rana el Kaliouby and Dr. Rosalind Picard, Affectiva’s technology is applied in industries like media analytics and automotive, where it helps companies understand audience engagement and improve vehicle safety systems. The company's AI uses machine learning and computer vision to detect nuanced emotions and interactions, offering deep insights into human behavior. Affectiva has received numerous accolades, including recognition in the CB Insights AI 100 and Forbes AI 50, and continues to innovate in the field of ethical AI development.

AI-Mediated Conversations (AI-MC) is an automated phone routing solution that uses emotion AI, voice data, and voice data to match customers to the most qualified agent to handle their specific call. This match is based upon profile data and our superior algorithms, which are the result of years of research and experience with NLP and behavioral signal processing. Whatever the goal, there is always an enabler that would allow both parties to achieve the desired result. This contributing factor is often a simple, naturally occurring human process: the development of an affinity or rapport between people. It doesn't matter what type of business communication is used (sales calls, support, collection), there will always be interaction between real people, where the affinity is rarely the same between two people. There are certain traits and behaviors that make us more compatible with others than we are with others. To increase sales or collections, you can guide the conversation dynamic. Meanwhile, our Oliver API is the engine that empowers AI-MC and all other integrations(Genesys, Uniiphore,..) that need to incorporate Emotion AI capabilities.

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.

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.

From engaging social media advertisements to instances of abandoned shopping carts, it is crucial to grasp what users encounter, how they navigate, and the decisions they make, allowing you to enhance the overall user experience prior to launching. By obtaining practical insights, you can remove uncertainties and assist creative teams in crafting designs that reliably yield high conversion rates. This approach serves as a diagnostic instrument to pinpoint underperforming pages and identify areas for enhancement in the digital customer journey, ultimately increasing conversions. You can acquire immediate, objective feedback through advanced heat maps that reveal user attention on video ads, animations, and motion designs, facilitating design optimization and performance enhancement before release. Additionally, understanding which design elements serve as distractions or conflict with one another is essential for refining designs and boosting conversion rates. This comprehensive analysis not only improves user engagement but also fosters a more effective digital marketing strategy overall.

The Gaze Intelligence Team boasts extensive expertise in eye tracking, particularly in scientific settings and with industry professionals. Their background includes significant consulting work with SMI Sensomotoric Instruments, a leading name in the eye tracking field. Pupil Invisible stands out as the most sophisticated eye tracking glasses available today, incorporating advanced Artificial Intelligence that eliminates the need for adjustments or calibrations, providing immediate insights and functioning seamlessly in any environment. This device is regarded as the premier VR equipment, offering human-eye resolution, an integrated 100Hz Binocular Eye Tracker, Ultraleap hand tracking, and compatibility with a wide range of applications, including those on SteamVR. Additionally, EyeVido serves as a one-of-a-kind, affordable cloud platform designed for efficient web and mobile application testing. Furthermore, LiveTrack Lightning introduces the first cost-effective 500Hz eye tracking solution tailored for laboratory and research purposes, enhancing the capabilities of researchers and professionals alike. This innovative technology is paving the way for more accessible and effective eye tracking solutions in various domains.

By employing both mobile (real world) and static (screen based) eye tracking methods, we deliver precise and comprehensive insights into customer interactions with products, revealing their focus areas and levels of cognitive engagement, which leads to actionable recommendations. While traditional research methodologies often depend on self-reported data that may only highlight what individuals believe they observed, eye tracking offers a reliable means to uncover what genuinely captures their attention. This technology enables a clearer understanding of visual engagement as opposed to relying on subjective accounts of viewing experiences. Static eye tracking, sometimes referred to as fixed eye tracking, is a system designed to trace a respondent's eye movements while they are positioned in front of a computer screen or a life-sized projected image, providing valuable data on visual attention patterns. Ultimately, this approach allows businesses to tailor their products and marketing strategies based on real behaviors rather than assumed perceptions.

Gazepoint offers budget-friendly options for eye tracking, neuromarketing, and biometric research. The advancements in eye tracking and biometric analysis are transforming numerous sectors, including healthcare and advertising, and now you can access these technologies without breaking the bank. Take a look at our range of eye-tracking hardware and software solutions, and place your order today to begin your journey. The information conveyed by the human gaze is invaluable; the way we look at things and the movements of our eyes provide critical insights into our interests, preferences, and challenges. Eye-tracking technology empowers you to collect, interpret, and apply this valuable data. Continue reading for more insights, and seize the opportunity to leverage this innovative technology with an affordable eye tracking package from Gazepoint, ensuring you stay at the forefront of your field. Don't miss out on the chance to enhance your research capabilities with our state-of-the-art tools.

Emozo's DIY SaaS Research & Feedback Collection platform provides behavioral and emotional insights that will help you make the right decisions about all digital content. Emozo's platform allows you to go beyond traditional customer data analytics to gain insight into customers' hearts and minds in order to understand the effectiveness of all digital content. Emozo can be used to measure the effectiveness of advertising, applications, streaming media content and the like on any channel, web, mobile, social, or TV. Emozo's innovative method of combining unconscious (attention, emotion) and stated responses (survey) responses makes it easy to quickly understand the effectiveness of any digital content. Emozo uses AI to enable qualitative research on a scale that is fast and easy on customers' devices. Emozo supports iterative design and development processes and offers fully secured data protection for both you and your customers.

Lumen merges advanced eye tracking technology with the largest attention panels available globally, alongside innovative advertising technology capabilities. By transforming your phone or computer's webcam into a sophisticated eye tracking sensor, Lumen efficiently gathers passive eye tracking data for media valuation and creative assessments at an impressive scale and speed. Their predictive models leverage cutting-edge machine learning techniques to assess attention to advertisements based on their visibility features. Recently, Lumen's groundbreaking methods in eye tracking garnered significant acclaim, being recognized as a favorite at a conference hosted by the esteemed Institute of Electrical and Electronics Engineers. As an attention technology firm, Lumen specializes in utilizing eye tracking to assist brands in measuring, acquiring, and enhancing the attention their marketing efforts receive, thereby maximizing their impact in the competitive advertising landscape. By integrating these technologies, Lumen not only improves ad effectiveness but also empowers brands to make data-driven decisions.

Our platform is designed alongside groundbreaking scientific advancements that uncover how individuals perceive and articulate over 30 unique emotions. The ability to comprehend and convey emotions effectively is essential for the advancement of voice assistants, health technologies, social media platforms, and numerous other fields. It is vital that AI applications are rooted in collaborative, thorough, and inclusive scientific practices. Treating human emotions as mere tools for AI's objectives must be avoided, ensuring that the advantages of AI are accessible to individuals from a variety of backgrounds. Those impacted by AI should possess sufficient information to make informed choices regarding its implementation. Furthermore, the deployment of AI must occur only with the explicit and informed consent of those it influences, fostering a greater sense of trust and ethical responsibility in its use. Ultimately, prioritizing emotional intelligence in AI development will enrich user experiences and enhance interpersonal connections.

Utilizing language as a lens, one can uncover various personality traits and motivations. Receptiviti aligns these traits with the Big Five personality model, encompassing 35 distinct personality measures. By assessing elements like authenticity, influence, and social connection, it becomes possible to gain insight into how individuals navigate social environments. Additionally, this analysis reveals the underlying drivers of behavior, whether they stem from aspirations for success and self-fulfillment, a desire for power, the pursuit of rewards, aversion to risks, or tendencies toward risk-taking. Furthermore, it can identify harmful or aggressive language that conveys bias, hate, or violence against specific demographic groups. The capability to ascertain the authorship of written content makes this tool particularly valuable in fields such as literary analysis, cybersecurity, forensic investigations, and the scrutiny of social media interactions, thereby enhancing our understanding of communication in various contexts. In a world increasingly shaped by digital interactions, the implications of these insights are both profound and far-reaching.

Enhance your customer interactions by integrating face recognition through our cloud API, or opt to host Kairos on your own servers for maximum control over data, security, and privacy, allowing you to create safer and more accessible experiences starting today. As a pioneering face recognition AI company committed to ethical practices, we ensure our technology resonates with the diversity of global communities. Utilizing advanced computer vision and deep learning techniques, we can identify faces across various mediums, including videos, photographs, and real-life scenarios. Our innovative API platform streamlines the process for developers and businesses, making it easier to incorporate human identity recognition into their applications. Kairos stands at the forefront of providing ethical face recognition technology to developers and organizations around the world. By leveraging our API, developers and businesses can seamlessly embed face recognition capabilities into their software offerings, facilitating the discovery of human faces in images. Additionally, our system can categorize detected individuals into age groups—child, young adult, adult, or senior—and determine their gender as either female or male, thus enhancing the depth of analysis available to users.

Vokaturi software exemplifies cutting-edge technology in recognizing emotions through vocal cues. Crafted and continually refined by Paul Boersma, a professor at the University of Amsterdam and the chief creator of the renowned speech analysis tool Praat, its algorithms are at the forefront of this field. This innovative software can accurately assess whether a speaker is feeling happy, sad, fearful, angry, or neutral based solely on their voice. The open-source variant of Vokaturi provides impressive accuracy in distinguishing these five emotions, even when encountering a speaker for the first time. In contrast, the "plus" version offers performance that rivals that of an experienced human listener. Developers have the option to seamlessly integrate Vokaturi into their applications, making it a versatile tool for various uses. Licensing options are flexible, allowing users to select either a free open-source license or a paid one for enhanced features. Overall, Vokaturi presents an accessible yet powerful solution for emotion recognition in voice applications.

Leverage artificial intelligence to challenge conventional business thought processes, delivering precise industry insights with high efficiency and reduced operational costs, thus facilitating the digital transformation of organizations. This approach includes capabilities for knowledge extraction and the creation of knowledge graphs and ontologies through unsupervised learning techniques. By effectively mining and analyzing extensive datasets, alongside utilizing established industry knowledge and natural language processing skills, the traditional reliance on human-driven knowledge engineering can be automated, leading to significant enhancements in the efficiency of constructing knowledge maps while lowering the barriers to their creation. Furthermore, a fully proprietary automatic speech recognition (ASR) and text-to-speech (TTS) model, paired with self-gathered training data and state-of-the-art speech recognition algorithms, along with an industry-leading natural language understanding (NLU) model, fine-tunes performance across various business contexts. This comprehensive training platform is designed to facilitate entirely bespoke training tailored to specific verticals, ensuring that businesses can meet their unique challenges effectively. Such innovations not only streamline processes but also empower enterprises to adapt swiftly to changing market demands.

Komprehend AI offers an extensive range of document classification and NLP APIs designed specifically for software developers. Our advanced NLP models leverage a vast dataset of over a billion documents, achieving top-notch accuracy in various common NLP applications, including sentiment analysis and emotion detection. Explore our free demo today to experience the effectiveness of our Text Analysis API firsthand. It consistently delivers high accuracy in real-world scenarios, extracting valuable insights from open-ended text data. Compatible with a wide range of industries, from finance to healthcare, it also supports private cloud implementations using Docker containers or on-premise deployments, ensuring your data remains secure. By adhering to GDPR compliance guidelines meticulously, we prioritize the protection of your information. Gain insights into the social sentiment surrounding your brand, product, or service by actively monitoring online discussions. Sentiment analysis involves the contextual examination of text to identify and extract subjective insights from the material, thereby enhancing your understanding of audience perceptions. Additionally, our tools allow for seamless integration into existing workflows, making it easier for developers to harness the power of NLP.

Eye-tracking analysis in 8 hours Eye tracking studies used cost thousands of dollars, and required special hardware that was connected to labs. Advanced eye-tracking algorithms allow you to track what people see within 64px (that's the size of a button!)

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.

An advanced immersive analytics platform designed for training managers, designers, and researchers, it allows for the assessment of training effectiveness and employee performance outcomes. By evaluating compliance, organizations can enhance safety measures, minimizing risks of injury and mistakes. The platform gathers insights across various sectors such as consumer packaged goods, architecture, engineering, construction, and retail. It streamlines product development processes, facilitating swift and valuable insights. Users can validate their theories by performing experiments within a virtual reality context, capturing data with scientific precision through eye-tracking, fixations, and biometrics. Furthermore, organizations can derive practical insights from their VR and AR initiatives right now. Our cutting-edge technology revolutionizes consumer research, allowing brands to refine their product strategies and gain a deeper understanding of consumer behavior through a distinctly quantifiable platform. Our enterprise clients are establishing spatial goals to implement training simulations that yield clearer outcomes, thereby decreasing injury rates, enhancing safety protocols, and effectively measuring productivity within their teams. With this robust platform, businesses are empowered to not only meet their training objectives but also drive innovation in their respective industries.

VisualEyes provides a sophisticated simulation of eye-tracking studies and preference assessments, boasting a 93% accuracy in its predictive technology. Attention maps serve as an ideal alternative to traditional five-second tests and eye-tracking studies. Additionally, the clarity score offers an effective substitute for rapid preference evaluations. By quantifying attention in key areas, it facilitates swift A/B testing, making it easier to replace lengthy eye-tracking analyses with attention heatmaps and streamline preference testing through our clarity score. With just a click, VisualEyes simplifies the process of generating valuable user insights, seamlessly integrating with your preferred design tools. Crafting the perfect digital product is a complex endeavor, but by testing designs before each release, you can enhance both your KPIs and your developers’ efficiency. Fewer iterations lead to greater satisfaction from both your team and your users. In today’s attention-driven economy, VisualEyes empowers you to excel by leveraging data to differentiate yourself from the competition. Remember, in the relentless quest for customer engagement, data can be your most powerful ally.

We are bad at predicting what will capture our attention. Eye-tracking is helpful, but it is expensive and time-consuming. That’s why we created expoze.io. An online attention prediction platform that validates designs in real-time. Built by leading neuro- and data scientists from Alpha.One. We believe creators make better decisions if they can predict what grabs attention.

Upload your digital assets to the Loceye platform for secure cloud storage. You can easily import files from any tool using PNG or JPG formats. With Loceye, you can put your recruitment worries aside, as we will connect your content with actual participants tailored to your specified demographics for your study. Receive your results in under twenty-four hours, complete with a customized report featuring Heat Maps and various visualizations designed to enhance your presentation and validate your design hypotheses. As a biometric eye tracking platform, Loceye empowers your team to create with assurance, optimizing digital assets such as website content, images, emails, and advertisements to maximize both visual and emotional engagement. We invite marketers, agencies, market researchers, web designers, UX specialists, and any professionals involved in media production to obtain actionable, pre-launch insights on how audiences perceive and interact with their materials, ensuring a more effective approach to content creation. Additionally, leveraging our tools will help you refine your strategies based on real user feedback, leading to improved outcomes.

Kornea.AI is a productivity monitoring solution developed by Tech Mahindra that offers a seamless, plug-and-play experience for evaluating employee output on their laptops or desktops without being intrusive, while also ensuring compliance and enhancing data security. When combined with ITSM, WFM, QSM, and CCT systems, it becomes a potent tool that provides essential visibility and insights to facilitate better decision-making. This solution allows employers to gain real-time insights into employee activities and work hours, ultimately fostering greater workforce alignment. Notably, Kornea.AI is designed to utilize minimal system resources, ensuring that the performance and functionality of the devices remain unaffected. Employing a robust encryption method, it operates discreetly in the background, making it impossible for users to disable the process, thereby maintaining transparency. Having successfully passed all necessary security evaluations according to established policies, Kornea.AI employs advanced computer vision alongside automation to identify any anomalies. Furthermore, it connects with the operator's webcam to ensure that only the authorized user has access to the machine, thereby bolstering security and integrity. This innovative solution not only enhances productivity but also safeguards sensitive information effectively.

SmartGaze leverages cutting-edge AI technology to automate the coding of eye-tracking videos captured by wearables, ensuring high accuracy throughout the process. This innovation is particularly beneficial for enhancing package designs and improving findability metrics. By significantly decreasing the turnaround time for eye-tracking projects from several weeks to just a few hours, it drastically reduces the labor involved. Furthermore, it minimizes overall costs by transforming the traditional manual coding workflow associated with analyzing eye-tracking data. With SmartGaze, you can eliminate concerns about data management, coding quality reviews, and meeting project deadlines. Additionally, the platform provides a color-coded heatmap that visualizes the distribution of attention, along with a detailed view of respondents' paths and fixations. By streamlining these processes, SmartGaze empowers teams to focus more on strategic insights rather than getting bogged down in the minutiae of analysis.

MorphCast AI Interactive Video Platform allows creatives to create highly engaging interactive videos in just minutes. Our Facial Emotion AI integrated into the platform allows for the latest interaction options. The video content can also be triggered by viewers facial expressions while they are watching it. MorphCast, a dynamic tool for professionals, is available. It is available for free at Microsoft and Mac App Store. The minutes of views to your videos are all that you pay. The first 2.000 minutes per month are free. MorphCast also provides an analytics dashboard that allows you to evaluate the performance and effectiveness of your interactive videos. You can track how your contents perform, and adjust your audience's experience based on their interaction and emotional response.

We provide an array of ready-to-use components, such as face recognition SDKs, alongside tailored software development services and cloud-based web solutions, mainly concentrating on image and video analysis, as well as the recognition of faces and objects. Our innovative technology finds applications across various sectors, including video and image archiving, online advertising, entertainment initiatives, media production, surveillance, security software, and among software developers catering to both end users and businesses. The Betaface facial recognition suite encompasses a comprehensive set of complex functionalities ranging from basic face detection to advanced face recognition tasks such as identification, verification, and matching in both 1:1 and 1:N formats, in addition to biometric measurements and face analysis. It also includes tracking facial features in video, recognizing age, gender, ethnicity, and emotions, as well as identifying skin, hair, and clothing colors, analyzing hairstyles, and describing the shapes of facial features. Our advanced technology is a crucial asset for various industries, providing them with the tools necessary for effective image and video analysis.

Gain immediate insights into shopper behavior and assess customer satisfaction effectively. Understand the characteristics of your converted customers. Our Face Analysis Technology equips physical retail businesses with real-time, anonymous insights into shopper interactions, allowing for enhanced optimization of customer experiences and daily operations. Explore our curated product suggestions. Develop more intelligent in-store environments that enhance engagement and elevate customer satisfaction. It is essential to foster customer engagement, as an engaged shopper is likely to return. Our software offers you real-time data regarding shoppers' demographics, interests, and behaviors. Identify your converted customers and refine every aspect, from product placements to store layouts, informed by shopper behavior. Are you effectively reaching your intended audience? Our software provides the solutions to uncover these crucial insights. Furthermore, understanding these dynamics can significantly improve overall business performance.

Sybill is a video assistant that can be used to help sales teams feel more connected emotionally. It records the body language and expressions of your buyer during a call to provide insight into who might be a champion and what gets them excited. Sybill gives sellers deep prospect insight, which allows them to move the deal forward. It allows sales leaders and coaches to modify their messaging and decks according to what resonates with prospects and help them coach their teams to be more successful. Sybill will show you the most memorable moments that got your prospects excited so that you can follow up with them on the things that matter most to them. Your prospects will have a pleasant experience if you are always in touch with their needs.

alwaysAI offers a straightforward and adaptable platform for developers to create, train, and deploy computer vision applications across a diverse range of IoT devices. You can choose from an extensive library of deep learning models or upload your custom models as needed. Our versatile and customizable APIs facilitate the rapid implementation of essential computer vision functionalities. You have the capability to quickly prototype, evaluate, and refine your projects using an array of camera-enabled ARM-32, ARM-64, and x86 devices. Recognize objects in images by their labels or classifications, and identify and count them in real-time video streams. Track the same object through multiple frames, or detect faces and entire bodies within a scene for counting or tracking purposes. You can also outline and define boundaries around distinct objects, differentiate essential elements in an image from the background, and assess human poses, fall incidents, and emotional expressions. Utilize our model training toolkit to develop an object detection model aimed at recognizing virtually any object, allowing you to create a model specifically designed for your unique requirements. With these powerful tools at your disposal, you can revolutionize the way you approach computer vision projects.

EmoVu leverages sophisticated artificial intelligence and machine learning to interpret human emotions effectively. The EmoVu platform provides an accurate assessment of how emotionally engaging and effective video content is for specific target audiences. We encourage creators of both short and long-form video content to share their ready-to-test projects with thousands of emotionally responsive viewers through our user-friendly platform. Assess the emotional resonance of your messaging and its connection to your creative work, whether focusing on specific scenes or evaluating the entire video prior to its release. By optimizing emotional engagement, you can prevent budget waste on underperforming content. Utilize the platform immediately post-distribution to monitor early indicators of engagement, social impact, potential for virality, and performance metrics for individual media channels. Enhance the buzz around your content and allocate funds wisely for effective campaign retargeting. Notably, campaigns driven by emotional appeal are shown to yield significantly higher profit increases compared to those based on rational arguments. Engaging with EmoVu not only maximizes your content’s potential but also strategically positions your budget for future success.

EyeRecognize offers a robust suite of APIs for image and video recognition that are easy to integrate into your applications, even if you lack machine learning experience. Our services enable you to recognize objects, individuals, text, scenes, and activities in visual media, while also identifying faces and classifying NSFW content. With our Face Detection and Analysis capabilities, you can locate all faces in images and videos and gather detailed attributes like gender, age, eye characteristics, and emotional expressions. Additionally, our Text Detection feature allows for the extraction of text from various sources, including license plates, street signs, advertisements, and brand logos. We also specialize in detecting NSFW and other potentially inappropriate material in both images and videos. With over four decades of collective experience in developing AI-driven applications, the EyeRecognize team was a pioneer in utilizing machine learning for automating content moderation on social media platforms, setting a standard in the industry. This dedication to innovation ensures that our technology remains at the forefront of image and video analysis.