Find the right tools for your research

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

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.

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

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.

Voicepanel is a conversational survey platform for fast qualitative research. Leveraging cutting-edge AI, Voicepanel can recruit & screen respondents, conduct dynamic conversations, synthesize transcripts, and build personalized reports, all within just minutes. The platform offers text, voice, video, and phone formats and a range of stimuli options including websites, images, videos, and Figma prototypes. Businesses use Voicepanel for customer feedback, creative testing, website feedback, consumer insights research, and other exploratory market research use cases. The platform offers support for 29 different languages, so customers can conduct research across multiple international markets at once. Voicepanel is based in San Francisco, California. The company is backed by Y Combinator and founders of customer-centric companies including Instacart, Dropbox, Gusto, Airtable, Front, and Optimizely.

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.

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.

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.

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.

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.

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.