Cognitive Market Research Athenaeum provides market research, data visualization, and industry reports in a single solution.

KAPsurvey is an all-in-one survey data collection, analysis and reporting platform used by government, non-profit, and commercial customers.

Instant Focus is a web and app-based platform used for real-time data collection and analysis during focus groups.

Collabito is online qualitative research software that includes chat-based focus groups, blogs, diaries and bulletin boards. Online focus groups include chat-based rooms with roles for moderators, respondents, clients and observers. A whiteboard module can be used to present video or pictures. Respondent blogs can be used to capture written comments, pictures and video clips. A […]

Gems provides AI-powered analysis of qualitative research interviews with transcription, summarisation, thematic clustering and more.

The Thinking Shed is qualitative research software with diary, feedback and forum features. The diary feature, ‘Close Up’, is a private area in which moderators and participants interact with one another through live chat or sharing images / videos. Tasks can also be schdeuled for specific times or sequences. The feedback feature is for testing […]

iResearch is an online qualitative research software platform for showing participants product concepts, ads and audio-visual stimulus.

Startquestion is an AI survey generator and feedback platform designed to gather insights from customers and employees.

GroupSolver is a ‘qualitative-at-scale’ research platform that uses machine learning to organise and quantify natural language answers into business insights.

Discurv is a market research company providing an automated platform, expert support and multi-source sampling.

Invoke LIVE is a solution for testing video content through ‘qualitative feedback at scale’.

inVibe is a research platform that automates recruitment, data collection, and analysis for quantitative and qualitative research projects with healthcare stakeholders. Sentiment and emotion is measured using NLP algorithms (from transcriptions) and Speech Emotion Recognition (SER) algorithms (from voice recordings).