Find the right tools for your research

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

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.

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

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.

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.

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.

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.

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.

XStereotype is an AI-powered platform that can predict how your content will perform across different races and cultures.

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.

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.