Find the right tools for your research

ProductPinion is a cutting-edge consumer insights platform designed to help eCommerce sellers boost their sales. Our platform allows sellers to conduct shopper interviews, revealing key buying objections and opportunities for listing and product improvements. We specialize in creating marketplace simulated environments, such as Amazon search simulations, where all variables are controlled, from badges to climate pledge friendly labels. Additionally, our platform enables testers to view any URL and provide valuable feedback. This means sellers can gather insights on their own marketplace listings, search results, or even competitor listings, uncovering information that is typically out of reach. With ProductPinion, small businesses can now make data-driven decisions like Fortune 500 companies, without the hefty price tag.

WholeSum is a technology company focused on transforming qualitative and unstructured data into structured, statistically robust intelligence for organisations operating in complex, high-trust environments. The platform is designed to address a longstanding gap in analytics: while quantitative data is easily aggregated and modelled, qualitative evidence (such as free-text notes, interviews, and feedback) remains under-utilised - despite often containing the earliest and most meaningful signals. WholeSum’s approach combines statistical inference, comparative judgement, and modern language models within a proprietary analytical framework to ensure outputs are uncertainty-aware, auditable, and reproducible. WholeSum is built to operate as infrastructure within existing systems or for use via our self-serve app, giving organisations the same confidence in qualitative evidence that they already have in quantitative data. Our mission is to enable richer insight, faster learning, and better decisions over time. WholeSum is designed to integrate with enterprise governance and compliance requirements.

Perceptional is an AI-moderated user interview platform that allows product teams to deploy an engaging, context-aware chatbot to conduct qualitative user interviews. Perceptional bridges the gap between in-depth (but time-consuming) user interviews and scalable (but shallow) online surveys, allowing teams to more efficiently gather and process qualitative data. As responses are collected, Perceptional uses AI to synthesize them into key findings, summaries, themes, and much more. Our customers have experienced 10x faster product research projects compared to 1-on-1 interviews and 4x more insights compared to traditional online surveys. And most importantly, Perceptional is designed to supplement, not replace, user interviews.

Useberry is a one-stop solution for quick remote testing and rich, actionable insights that enable teams to make informed, user-centered decisions. Offering a variety of unmoderated research methods, including usability testing, surveys, 5-second tests, card sorting, tree testing, A/B testing, and many more, Useberry enables teams to gather actionable insights from real users. The platform seamlessly integrates with popular design tools, like Figma and ProtoPie, enabling efficient testing of prototypes and websites. Useberry’s easy-to-use platform helps teams make smart decisions to improve user experiences in their digital products.

Checkbox supports thousands of companies to run easily run surveys, capture insights and automate improvements. With one of the most flexible survey software platforms in the world, we support teams ranging from market research agencies with advanced logic to massive enterprise organizations with millions of responses.

m-Path empowers researchers to capture human experience as it unfolds in real time. Whether you're conducting ecological momentary assessment (EMA), experience sampling (ESM), daily diary research, or other forms of intensive longitudinal data collection, m-Path provides everything you need in one flexible platform. Easily integrate passive mobile and wearable sensing, context-aware triggering, or deliver ecological momentary interventions (EMIs) and just-in-time adaptive interventions (JITAIs), all without writing a single line of code. Our intuitive study builder dashboard lets you mix and match powerful features to design the perfect protocol for your research question. Collect data seamlessly across iOS and Android devices and gain deeper insight into people’s real-world behavior and experiences.

Privacy-first Experience Management suite. Turn customer insights into irresistible experiences. XM software built on the fastest growing open source survey software platform worldwide. Formbricks packs an open source form builder as well as AI-powered analysis capacity - all on premise! Self-host Formbricks Open Source Survey Software within minutes with Docker.

Voiceform makes it incredibly easy to gather rich multilingual voice data for your research studies. Used by thousands of researchers at educational institutions, non-profits, small business, and enterprise. Voiceform makes it possible to collect qualitative insights and the depth of an interview with the scale of a survey.

Gorilla is the all-in-one platform for Surveys, Reaction Time Tasks, Games, Shops and Multiplayer studies. So you collect high-quality data from large, diverse samples. Fast. Perfect for Experimental Psychologists and Behavioural Scientists.

Datasaur is the most advanced AI platform for NLP and private LLM development. Our NLP solution dramatically improves accuracy and accelerates AI projects. LLM Labs empowers you to optimize quality, inference speed, and cost for large and small language model projects, with access to over 200 models including GPT-4, Claude 3.5 Sonnet, Gemini 1.5, Llama 3.1, and Mistral.

Mabyduck makes it easy to create and run studies that evaluate the quality of AI-generated content, including audio, images, video, and interactive experiences. The platform handles data hosting, rater pre-screening, study monitoring, and real-time results visualization—so you can focus on improving your AI models.

Dallinger allows crowd sourced experiments to be abstracted into single function calls that can be inserted into higher-order algorithms. It fully automates the process of recruiting participants, obtaining informed consent, arranging participants into a network, running the experiment, coordinating communication, recording and managing the data, and paying the participants.