Find the right tools for your research

Typeform's Research Flow helps teams design studies, recruit participants, run AI-moderated conversations, and turn responses into decision-ready insights in hours instead of weeks.

Maze began with the belief that product design teams should have easy access to data during the design phase. Since then we have evolved our vision to empower anyone in product and marketing teams to test, learn, and act rapidly. We believe that this is how you build successful user experiences today.

Qualtrics is a single system of record for all experience data, also called X-data™, allowing organizations to manage the four core experiences of business—customer, product, employee and brand experiences—on one platform. Over 8,500 enterprises worldwide, including more than 75 percent of the Fortune 100 and 99 of the top 100 U.S. business schools, rely on Qualtrics.

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

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.

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.

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.

Our mission is to facilitate and promote Open Science with high-quality, minimal-cost tools. Some of the services that we provide include: 1. Free, open source, software (PsychoPy) for generating flexible experiments to study behaviour and neuroscience in the lab (including compatibility with EEG, eyetracking, fMRI and more). 2. Paid-for secure server (Pavlovia.org) to host experiments online for remote data collection. 3. Task creation services. Our team of Scientists can create tasks to fit your brief.

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.

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.

AILYZE is an AI tool for qualitative data collection and analysis. Data Collection - survey and AI voice interviewer • Create online surveys and AI voice interviews • Interviews are conducted in respondents' native languages Data Analysis - content/ thematic/ frequency/ cross-group AI analyses • Upload docx/ pdf/ xlsx/ csv data, such as interview transcripts, survey responses, or open-ended comments • Get content analysis, thematic breakdowns, frequency counts, and cross-group comparisons • Chat with your data • Create charts showing frequency analysis Data Security AILYZE encrypts your data and your data is not used to train any AI models.

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.