Alternatives to Imentiv AI

Transform Your QA with the Speech Analytics Experts: CallFinder’s speech analytics software automates outdated, manual QA processes to save time and provide immediate insights so you can make data-driven decisions. Spend your valuable time coaching agents on what matters most to you and your customers.

Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.

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.

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.

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.

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.

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.

The IBM Watson® Tone Analyzer employs linguistic analysis techniques to identify emotional and language tones present in written text. This tool is capable of assessing tone at both the document and sentence levels, allowing users to gain insights into how their written messages are interpreted. By utilizing this service, individuals and businesses can enhance their communication effectiveness, tailoring their tone to better connect with their audience. Companies can leverage this analysis to gauge the tone of their customers' messages, enabling them to respond appropriately and foster improved interactions. In this tutorial, you will discover how to utilize IBM Cloud Functions along with cognitive and data services to create a serverless back end for a mobile app. You can also analyze emotions and tones expressed in online content, such as tweets or reviews, predicting emotional states like happiness, sadness, or confidence. Additionally, equipping your chatbot with the ability to recognize customer tones will allow you to devise dialogue strategies that can adapt conversations to better meet customer needs, ultimately enhancing the overall user experience. Understanding emotional nuances in communication is crucial for building stronger relationships with clients.

Watson Natural Language Understanding is a cloud-native solution that leverages deep learning techniques to derive metadata from text, including entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Delve into the topics within your data through text analysis, which enables the extraction of keywords, concepts, categories, and more. The service supports the analysis of unstructured data across over thirteen different languages. With ready-to-use machine learning models for text mining, it delivers a remarkable level of accuracy for your content. You can implement Watson Natural Language Understanding either behind your firewall or on any cloud platform of your choice. Customize Watson to grasp the specific language of your business and pull tailored insights using Watson Knowledge Studio. Your data ownership is preserved, as we prioritize the security and confidentiality of your information, ensuring that IBM will neither collect nor store your data. By employing our sophisticated natural language processing (NLP) tools, developers are equipped to process and uncover valuable insights from their unstructured data, ultimately enhancing decision-making capabilities. This innovative approach not only streamlines data analysis but also empowers organizations to harness the full potential of their information assets.

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.

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.

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.

PolygrAI is a groundbreaking platform that delivers immediate insights regarding emotional states and the likelihood of deception. With our user-friendly desktop application, conducting a polygraph examination is simpler than ever—just click start, select your video source, and observe the results. Our interface empowers users to look beyond mere words, revealing deeper subconscious insights. The key metric, which is both detailed and easy to understand, helps you grasp the overall emotional landscape during the examination. Emotions are organized into prioritized categories, including primary, secondary, and tertiary feelings detected throughout the process. When selecting a subject, the application automatically disregards others visible in the video feed for accuracy. Additionally, our desktop application offers numerous other features aimed at facilitating more effective and efficient assessments. Users can opt for default screen capturing that works seamlessly with any application or connect via a USB camera for enhanced functionality. This combination of features ensures that every examination is not only informative but also straightforward.

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.

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.

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.

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.

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.

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.

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.

Bring your concepts to life through engaging, heartfelt, and authentic video advertisements. Our customizable scripts serve as the essential building blocks for compelling ads that captivate audiences. Select from an extensive collection of hundreds of eye-catching AI performers, each crafted to enhance your message. Our advanced AI technology is adept at interpreting emotional nuances and narrative structures, guaranteeing that every video effectively communicates its purpose while striking a chord with viewers emotionally. The AI hosts featured in these videos are engineered to present a believable and appealing presence. Additionally, our platform supports multiple languages, enabling effortless translation and the creation of video ads in diverse tongues with just a few simple steps, making it more accessible for global outreach. This innovative approach ensures that your advertising efforts resonate across different cultures and audiences, maximizing impact.

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.

The customer experience management platform facilitates the scaling of customer-centric practices throughout your entire organization, enabling brands to actively listen, learn from, and delight their clientele. By empowering more than 10,000 frontline employees across prominent businesses, it enhances global customer interactions across four continents. Our extensive experience in the customer experience field has led to the successful implementation of feedback initiatives for various sectors, including marketing, customer experience, digital solutions, and group operations. Furthermore, we leverage our diverse expertise to assist partners in connecting data across departments, yielding new comprehensive insights that drive meaningful outcomes. The Resonate CX Platform offers a thorough customer experience management solution that is designed to handle both complexity and scale. Notably, its analytical features stand out for their ability to visualize customer information, encompassing both structured and unstructured data, such as ratings and comments, all within a singular integrated platform. This cohesive approach allows organizations to gain a more nuanced understanding of their customer interactions.

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.

Utilize your cameras to analyze individuals, groups, vehicles, and various other items in real time. Accurately assess the presence of people, crowds, and vehicles anonymously as data is captured. Our cutting-edge technology allows you to collect valuable metrics from your IP or security cameras seamlessly. Compatible with numerous camera types and operating systems globally, our solution is designed for versatility. Whether you are traveling, at your workplace, or anywhere else, your AdDashboard is accessible at all times. Monitor the key metrics that matter to your business and easily share insights with your clients. By adhering to the highest standards of privacy and reliability, we have established ourselves as the most dependable measurement company in the industry. We recognize the importance of intuitively accessing and integrating our real-time data, which is why we have streamlined the process for you. Our advanced computer vision infrastructure is tailored to meet all of our clients' requirements, consistently delivering top-notch performance no matter the implementation. This commitment to excellence ensures that you can focus on what really matters: driving your business forward.

The world's most popular tool for human behavior research. The iMotions software can be used for all types of lab research. iMotions can be used to perform any type of lab research, including behavioral science, usability testing, observation, and studying human factors. Complete stimuli presentation (images/videos, websites, apps, games, mobile/apps, VR). All types of sensors can be integrated and synchronized (eye tracking, Facial Expression Analysis. Electrophormal activity aka GSR. EEG, ECG. EMG. Access API to import/export data from other sources. Built-in survey tool to add questions to the data set. Live and post markers are available for behavioral coding and annotations. To visualize data, complete study editing and analysis with embedded R-scripting. Replay and recordings of scene and respondent. You can create a study design with a point-and-click.

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.

In various GVC applications, the initial phase involves recognizing emotions: the user vocalizes for several seconds, and the GVC Emotion Recognition algorithm evaluates numerous acoustic characteristics of their voice to derive an understanding of their emotional condition. The outcomes from our emotion recognition system can then be utilized by other algorithms to select suitable responses for the user. At GVC, our main focus is on types of feedback that enhance the user's performance and overall quality of life. This includes analyzing signals from the user's voice, heart, lungs, and other bodily organs. The GVC concept has been put into practice in a range of demonstration applications. These applications utilize a collection of proprietary algorithms that assess various aspects of the user's speech, including the GVC Emotion Recognition and GVC Voice Disorder Detection algorithms, ultimately aiming to create a more responsive and supportive user experience. By integrating advanced technology, we strive to foster a deeper connection between the user's emotional state and the feedback provided.

User behavior is significantly influenced by visual attention. By utilizing UXReality solutions, you can pinpoint exactly where users focus their gaze while interacting with your app or website, uncovering the reasons behind their unexpected behaviors and how they engage with content. The emotional aspect of design plays a crucial role in distinguishing successful products from others that are equally good. Does your design manage to trigger emotions in users? With UXReality, you have the capability to assess how users interpret your design. This platform provides insights into user reactions tied to specific points in their journey or particular interface elements, enabling you to craft designs that truly resonate on an emotional level. Moreover, UXReality makes the process accessible, requiring no special skills. By harnessing the power of advanced AI alongside the user's device selfie camera, we can capture user actions such as scrolling and tapping, along with their gaze and emotional responses reflected in facial expressions. This comprehensive understanding of user interactions not only enhances your design strategy but also leads to more engaging user experiences overall.

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.

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.

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.

Dubbah stands out as a premier AI-enhanced dubbing service specifically designed for short-form media. Utilizing state-of-the-art technology, our platform expertly translates your videos into various languages while maintaining the integrity of the original voice and background music, ensuring they are both accessible and captivating to a global audience. As the demand for localized content continues to rise, our AI dubbing solution provides a quick, effective, and budget-friendly way to connect with viewers worldwide. This is particularly vital in the realm of short-form content, where rapid delivery is essential; our AI-driven dubbing guarantees reliable quality without delays. Dubbah harnesses advanced deep learning algorithms to capture the subtleties and emotions of the source material, ensuring that the resulting voiceovers reflect the original tone and sentiment accurately. Consequently, viewers receive a genuine experience that resonates with them, fostering a deeper connection with the content. In this way, Dubbah not only enhances the reach of your videos but also enriches the overall viewing experience.

Face⁺⁺ enables the detection and localization of human faces in images, providing high-accuracy bounding boxes for each identified face. Additionally, it offers the functionality to save metadata associated with each detected face for future reference. The system can assess the probability that two faces represent the same individual, delivering a confidence score along with thresholds for evaluating their similarity. By utilizing the Face⁺⁺ Detect API, users can identify faces in images and receive bounding boxes and tokens for each detected face, which can then be used with other APIs for additional processing. Furthermore, the Detect API can return facial landmarks and attributes for the five largest detected faces. All APIs are available at no cost, and users have the flexibility to transition to a paid service based on their business needs, utilizing options such as Pay As You Go or a QPS solution. Various SDK licensing options are offered for different devices, making integration straightforward. With Face⁺⁺, developers can seamlessly incorporate cutting-edge deep learning-based image recognition technologies into their applications through user-friendly and robust APIs and SDKs, enhancing their software capabilities significantly.

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.

Engage your audience on a deeper emotional level and enhance your content’s revenue potential with the free emotional reaction tools offered by Reactions Bar. This platform tailors content to align with the emotional states of readers, utilizing sophisticated algorithms to analyze user data which leads to increased engagement and new revenue opportunities for your site. Users can now articulate their feelings and share emotional responses in unprecedented ways. With just a single click, the Feelbacks voting platform elevates interaction, making it seamless for readers to connect with your material. This innovative approach is the simplest method to foster engagement and truly resonate with your audience's emotions. By harnessing these tools, you can create a more immersive experience that encourages loyalty and ongoing interaction.

Our mission is to make it as simple as possible for users to create personal videos that tell stories and elicit emotions. Emotion Sense, our patent-pending artificial intelligence technology that detects emotions, enables users to accomplish this feat in a matter of minutes. Emotion Sense Technology allows users the ability to collaborate with artificial intelligence to ensure that their Video elicits an emotional response. Users provide footage and we give them emotional direction through the choice of music and video style. We then bring the footage to life with a Video that not just compiles the best footage but also captures a mood. Our artificial intelligence engines analyze your video and photos when you upload them to Magisto. Our algorithms take a virtual view of all the video and photos you upload and break down analysis into three levels: visual analysis, audio analysis, and storytelling.

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.

The NtechLab platform is designed to analyze video content, identifying human faces, bodies, actions, vehicles, and license plates with impressive precision. Utilizing advanced AI technology, it achieves exceptional speed and accuracy, setting new standards for recognition capabilities. The FindFace Multi system enhances this by offering multi-object recognition and analytical features, which are particularly beneficial for both public sector applications and various business needs. This technology enables swift and precise identification of faces, human forms, cars, and license plates in real-time video feeds or archived footage. Users can search through databases or archives not only by image samples but also by distinctive characteristics such as age, clothing color, or vehicle type. The dedicated team at NtechLab is continually refining these recognition algorithms to boost their effectiveness and precision further. With FindFace Multi, the process of detecting a face in live video, recognizing it, and finding a corresponding match in a vast database can be accomplished in under a second, making it an invaluable tool for real-time surveillance and analysis. Furthermore, this rapid response capability ensures that users can act promptly on the information gathered, enhancing security and operational efficiency.

Keyla is an innovative platform powered by AI that streamlines the process of creating user-generated content (UGC) videos, making it both quick and straightforward. Rather than investing in influencer partnerships or dedicating time to lengthy filming sessions, businesses and creators can produce high-quality videos in mere minutes by utilizing AI-generated avatars and tailored scripts. The platform boasts a diverse selection of lifelike avatars capable of natural speech, emotional expression, and engaging message delivery. Users have the flexibility to either draft their own scripts or seek AI support to generate the ideal content. Additionally, Keyla accommodates various languages, facilitating the creation of content suitable for a worldwide audience. Targeted at brands, marketers, and content creators, Keyla.AI revolutionizes video production by eliminating the need for costly filming, professional actors, and extensive editing processes. Whether you are a budding startup looking to establish your brand presence or a large corporation aiming to enhance your marketing efforts, Keyla empowers you to produce visually appealing videos efficiently, thereby conserving both time and financial resources while ensuring that your content remains captivating and personalized. With its user-friendly interface and cutting-edge technology, Keyla is transforming the landscape of video creation.

This complimentary tool is designed to evaluate your headline by calculating its Emotional Marketing Value (EMV) score, utilizing a unique analytical method created by Advanced Marketing Institute. Effectively connecting with your audience on a deep emotional level is essential for impactful copywriting, and your headline serves as the most critical element in attracting potential customers. The assessment will focus on the number of EMV words present compared to the total word count of your headline, leading to a definitive EMV score. Furthermore, the analysis will reveal which specific emotion is most influenced by your headline, highlighting the power of certain words that excel in promoting products and services that necessitate thoughtful consideration. Words that evoke strong empathy and genuine sentiments can yield significant and favorable emotional responses from your audience, enhancing the overall impact of your messaging. Understanding these dynamics can help you craft headlines that resonate more effectively with your target market.

- Intuitive and all-encompassing dashboards that display essential metrics from social media platforms. - Detailed audience insights, including demographics such as age, gender, geographic location, sources of engagement, and growth trends. - In-depth analysis of hashtag effectiveness and performance. - Examination of content characteristics, focusing on various text styles and emotional impact. - Insights regarding optimal posting times, days, and preferred content formats for maximum engagement. - Comparative analysis reports along with benchmarking against industry standards. - A text analysis component that evaluates tone, emotional depth, complexity, and predicts performance scores for your written content. - An AI-driven content planning tool that tailors strategies based on past performance and audience preferences. - Recommendations for relevant hashtags to enhance visibility. - A straightforward, unlimited post scheduling tool equipped with labels for better content management. - Real-time social listening capabilities to track mentions and tags across platforms. - Detection of sentiment, categorizing it as positive, negative, or neutral, along with identifying over thirty distinct emotions. - Intensity detection features that assist in prioritizing responses based on potential reputational risks. - Insights into mention trends, including coverage, dynamics, and prevalent topics. - Timely alerts to keep you informed of significant changes and interactions within your social media landscape. - This comprehensive toolset ensures a thorough understanding of your social media health and effectiveness.

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.