Rival Technologies develops chat, voice and video technology for the mobile-first generation.
Our platform makes it super easy to create mobile agile communities of customers, fans and employees you can engage for insight.
Instead of traditional online surveys, you create chats—conversational surveys that can be deployed through social media, SMS and popular messaging apps.
Our technology rivals traditional sources of data by allowing you to engage your customers in more personal, engaging and fun conversations.
Customer decisions are driven by EMOTION – not reason.
People express emotions using their facial expressions, body language, and tone of voice. They also describe emotions using natural language: in conversations, open-ended survey questions, interviews, social media, and customer phone calls.
Heartbeat AI platform transforms text input from any source (survey open-ends, call centre transcripts, customer feedback, employee comments) into ten primary and sixty secondary emotion categories. Insights are accessible through a user-friendly dashboard in real time. Quantified emotions reveal the “deep why” behind human behaviour, which helps build deeper understanding and empathy leading to better marketing, product development, and customer experience. Heartbeat AI technology is essential for understanding the main drivers of human behaviour with depth & accuracy.
Tastewise provides a software platform and research services to analyse food and beverage trends.
Data from social media posts, restaurant menus and online recipes are constantly analysed using AI.
Machine Learning provides automated trend analysis; Computer Vision is used to decode the content of images; NLP identifies sentiment and and topics from text; and Predictive Analytics identify future food & beverage trends.
A free tier provides limited access to the Tastewise platform.
Skim Technologies provides a software platform and managed services for analysing unstructured web data.
The ‘Skim Engine’ scrapes data from internal sources (email, support tickets, chat) and external sites (forums, blogs, product pages or social media) to create a structured dataset for analysis.
Key features are then extracted from the text to identify products, brands, companies, people and other entities as well as context and sentiment.
Applications include brand tracking, product development, trend identification and complaints tracking.
Data is modelled and presented in an online analytics platform or can be made available via API.
Signals Analytics is a software platform that uses Natural Language Processing to find trends in unstructured data.
Specialising in the food and pharma industries, sources include patents, research papers and clinical trials; retail product launches; influencers and opinion leaders; business news, funding and M&A activity; retail sales data; and consumer content from social channels, review sites and blogs.
Users have online access to analytics, dashboards and report sharing tools. Professional services are also available to help with analysis.
MotivBase is ‘the world’s only AI Anthropologist’: an NLP-based analytics platform for online ethnographic research to identify trends and understand cultural context in consumer conversations online.
It offers a self-service platform, where users can do their own searches and ethnographic analysis; and managed ‘concierge’ services, where a team of PhD anthropologists run custom projects in 3-5 day timescales.
Sympler is a private chat-based platform that uses chat bot technology to draw emotional insights from chat apps like Messenger, Snapchat and Instagram Direct. It includes the option to apply qualitative projective techniques through the use of GIFs, memes, collage-making tools, filters and storytelling.
Scope AI is an NLP based analytics platform that analyses customer feedback from any channel (social, CRM, complaints, surveys, reviews); combines it with user and product data (through Segment, Mixpanel or other API feed); and identifies insights for product development or customer experience improvement.
Aitrak is a platform that analyses images for visual salience without the need to conduct eye tracking studies. It uses a proprietary AI model trained with thousands of retail images viewed by people using traditional eye-tracking technology.
It claims to achieve typical accuracy levels of 95%-97% when compared with traditional eye-tracking studies of the same images.