Find the right tools for your research

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.

Versive is an AI customer research platform that helps teams conduct and analyze research faster. Companies like Udacity and IDEO use our conversational surveys, usability tests, and AI synthesis to get faster, richer insights.

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.

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.

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.

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.

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.

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.

MUiQ is a remote UX research and analysis tool helping companies to gather deep insights into user behavior and preferences. MUiQ has everything you need for essential UX research, including: • Task-based Usability Studies • Benchmarking • Surveys • Card Sorting • Tree Testing • Click Testing • Think-Aloud Studies • Moderated Interviews • and much more! With real-time reporting, advanced behavioral analytics, and powerful visualizations, MUiQ supports your team in delivering high-quality quantitative and qualitative research to help make informed decisions. Accessible on desktop and mobile, MUiQ is fully customizable and comes with live onboarding, training sessions, and technical support.

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.

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.