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.

Conduct research or train the next generation of AI. With data sets and tasks completed in just 2 hours by our vetted participant pool.

At Crowd, we're passionate about understanding the language of your users. This platform is more than just a research tool; it's the bridge to building meaningful connections between businesses and their customers. With Crowd's amazing features, understanding your users becomes an exciting adventure rather than a daunting task.

Motives is an AI-powered qualitative research platform that automates interviews, analysis, and reporting for marketing, creative, and insights teams. It delivers deep consumer insights in days, not weeks, combining qualitative depth with AI-driven speed and scalability. Built for consumer-focused brands, Motives helps teams validate ideas, test creative, and understand audiences quickly and cost-effectively.

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.

Outset harnesses AI to conduct up to 1000 simultaneous, multilingual conversations, simulating a researcher to elicit rich insights. The AI moderator is tailored to probe deeply and respond to participants' feedback. Following the interviews, Outset's AI engine synthesizes the data, summarizing insights, extracting verbatims, identifying themes, and quantifying findings, making research more efficient and comprehensive

Build accurate language models with human and AI feedback. The feedback loops you need to fine-tune, validate, and maintain enterprise LLMs.

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.

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.

Gain actionable insights with the Conjointly all-in-one survey research platform, access to millions of real human respondents, support from experienced researchers, and easy-to-use advanced tools such as conjoint analysis, text analytics, video surveys, and concept testing.

About Survicate Survicate is a customer feedback platform and online survey software for product, UX, market research, and CX teams.Build questionnaires from ready-made survey templates, run website surveys, in-app microsurveys, email surveys, mobile surveys, and link surveys, and analyze every response with AI in one feedback analysis hub. Native integrations with HubSpot, Amplitude, Slack, and other tools route insights straight into your workflows, so teams don't just collect feedback, they act on it.

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.