Brands and corporates
Build evidence your management will accept, in the time you actually have.
The best decisions come from the room, not the oracle. We let you build that room — customers who'll actually buy, experts who've seen it before, critics who'll catch what you missed. Yours to keep, reuse, and share.
A cross-disciplinary team of researchers, engineers, and designers building human-aligned agents. Backgrounds in machine learning, HCI, and product design. Want to build or research with us? Reach out at [email protected].
Minds supports different research scenarios, decision stages, and areas of focus—from testing concepts, messages, and products to exploring audiences or extending existing research. Choose the perspective closest to your work to see how the same workspace adapts to different questions, methods, and levels of depth.
Build evidence your management will accept, in the time you actually have.
Test the work before it goes to the client and strengthen every recommendation.
Turn your data and methods into reusable audiences under your own name.
Enter a prompt and optionally add files or other data for context. Include the market, interests, or habits that matter to your research.Enter a prompt and optionally add files or other data for context.
The web is searched for relevant, credible sources to ground the audience. These findings inform the audience characteristics and proposed distributions.The web is searched for relevant, credible sources to ground the audience.
The evidence is translated into demographic, behavioral, and attitudinal distributions. They show how characteristics such as age, interests, and buying habits vary within the audience.The evidence is translated into demographic, behavioral, and attitudinal distributions.
Each Mind is built using the confirmed distributions, collected sources, and relevant public social-media signals. Together, these profiles represent different perspectives within your audience.Each Mind is built using the confirmed distributions, collected sources, and relevant public social-media signals.
You can now run studies, evaluate ideas, and compare concepts. Reuse the same audience for follow-up research and explore how different segments respond.You can now run studies, evaluate ideas, and compare concepts.
Minds was founded in Berlin in 2024 by Alexander Doudkin and Friedrich von Borries. A distributed team of researchers, engineers and designers builds it across research, product, design and infrastructure from Berlin and San Francisco.
Minds is built for teams who need fast audience simulation without lowering the bar for research quality. We invest in validation against reference data, responsible AI practice, and partnerships with research, design, and cultural institutions.
We compare synthetic audience outputs against reference distributions and partner-led benchmarks instead of treating generated answers as self-evident truth.
Our methodology work follows professional research expectations, including ESOMAR-oriented guidance, transparency about limits, and clear boundaries around simulated respondents.
Minds works with research, design, sustainability, and cultural partners to test where simulation helps teams move faster without replacing accountable research practice.
We can finally run qualitative research at scale, without a high-cost survey absorbing the team's capacity for weeks. We ask a question and hear back from the audience in minutes, and the research we already invest in becomes far more valuable.
For us as an agency, this fundamentally changes how we work with our clients. We can test ideas with different target audiences in minutes and gather rapid feedback on implementation approaches. It feels like having a dedicated panel for every client.
The Sinus-Milieus embody decades of research into the ways people live in our society. Together with Minds, we have transformed this knowledge into Milieu-Minds, making it directly usable as synthetic target audiences.
What appealed to us was the strong market research foundation behind the approach. The panels are benchmarked against audience data, which gives us confidence that the responses reflect the perspectives of a defined target group rather than pure guesswork. It offers a structured way to explore audience insights and has the potential to make research at a broader scale more accessible and efficient.
Research shouldn’t live in another tool I have to open. With Minds over MCP, I can bring real audience perspectives directly into the AI workflows I already use every day. It turns research into something I can access and use continuously while I’m working on a project.
I use Minds to optimize the Meta ads I run for my clients and have improved conversion rates by 30%. Since I work with many different types of clients, Minds gives me a fast and easy way to understand each specific audience and create better-performing ads for them.
Before, we had strong ideas for what the Mae experience could be, but validating them meant relying on instinct and fragmented feedback. Now we can stress-test concepts early with both our corporate sponsors and the people who actually use Mae. It gives us the confidence to move faster, align stakeholders, and build experiences we know will resonate.
Short answers about the company, the product and how teams use it.
Minds is a synthetic market research platform. Teams build reusable AI Audiences from their own research and public sources, then run interviews, questionnaires, concept tests and segment comparisons with them in one Study.
Minds was founded in Berlin in 2024 by Alexander Doudkin, its CEO, and Friedrich von Borries. The company is Art of X UG (haftungsbeschränkt) in Berlin, and Minds AI Labs, Inc. serves customers in the United States.
There is a free plan. Starter costs €79 / $79 per month and Pro €199 / $199 per seat per month, and Enterprise is priced on request. The pricing page lists what each plan includes.
No. Starter and Pro plans are subscriptions you can cancel at any time in Subscription settings, and cancellation takes effect at the end of the current billing period. Enterprise terms are agreed individually.
Minds compares synthetic answers with real survey data and publishes how closely the distributions match. Treat the output as directional evidence for a decision, not as a substitute for a representative sample where one is required.
No. Minds does not train models on customer data on any plan, including free and trial accounts. The platform is hosted in the EU, and the AI model providers it uses are named in the public subprocessor list.
Yes. Minds is available as an MCP server for ChatGPT, Claude, Cursor and other MCP clients, and as a REST API. You connect with OAuth or an API key.
Email [email protected] at any time, or use the in-app chat on weekdays from 09:00 to 18:00 Berlin time. On paid plans, critical issues get a first response within 2 hours.
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