Find the right tools for your research

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.

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.

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.

Dialogue is an AI-native customer research platform that helps companies truly understand their customers. We make it possible to source participants, run hundreds or thousands of live, adaptive interviews at scale, and synthesize insights in real time. Our mission is simple: make listening effortless—so whether you’re a researcher, marketer, designer, or engineer, you can make smarter decisions faster. Real insights. Real people. Research for everyone.

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.

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

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

⁠Neurist is an AI-forward platform for end-to-end market research, orchestrating the full research lifecycle through frontier language models, conversational AI and real-time synthesis into a unified intelligence system. Built for the era of compound AI, Neurist replaces fragmented, labor-intensive research workflows with a continuously learning intelligence layer that transforms conversational data into structured, decision-ready knowledge - empowering teams to run high-fidelity research at scale, extract deep customer intelligence from unstructured feedback, and compress the cycle from raw signal to strategic clarity. By democratizing access to enterprise-grade qualitative research, Neurist enables organizations to build a living corpus of customer intelligence that compounds in value across every study and conversation.

Glaut's AI-moderated interviews engage respondents in realistic conversations that adapt to their responses and probe deeper to uncover more details behind their thoughts. We give you the power to interview thousands of respondents simultaneously, across multiple languages, with minimal effort. And we don’t stop there! Glaut super-power is about transcribing the data, extracting themes, key verbatims and insights to produce an actionable report that effectively answers to your research objectives, in a fraction of time compared to the current market practice.

Whyser is a research platform that conducts AI-moderated user interviews on your behalf—so you can uncover qualitative insights at scale in hours instead of weeks. Make qualitative research happen when it otherwise wouldn’t. Whyser can also complement your quantitative research by unlocking the qualitative “why” behind participant behavior. Together, they create a powerful mixed-methods research workflow.