Everything you need to know.

MediaDatak helps decision-makers understand how audiences will react before anything goes live. We build advanced predictive audiences with realistic beliefs, biases, and emotional triggers. You can test content, campaigns, concepts, visuals, or positioning and see authentic reactions in real time — without recruitment delays, privacy risks, or guesswork.

Our leadership combines world-class AI research with decades of real industry experience. François Pachet led Spotify's Creator Technology Research Lab and Sony Computer Science Lab, pioneering systems that model taste and emotion. Samuel Zniber brings 25+ years running major radio and audio brands across multiple continents. Richard René brings 30+ years in radio, software, and international development.

Brands, media companies, gaming studios, advertisers, content creators, and any organization needing fast, reliable audience insight without traditional research delays or limitations.

Book a discovery call with our team. We'll define your challenges, build your first audience, and run your first simulation together. You'll receive immediately actionable insights for your strategic decisions.

Projects begin by defining the decision you need to make, selecting relevant audience profiles, and reviewing your content or questions. A live real-time working session with a consultant follows, where you use the platform to see instant reactions and test ideas on the spot. Afterward, you receive clear presentations and strategic reports with insights, risks, and recommended next steps.

Reactions surface in real time as content loads or questions begin. This enables same-day decision-making aligned with modern pace — rather than waiting weeks for slow studies or delayed reports.

Yes. The platform shows likely audience reactions before launch — highlighting what engages people, where disconnection occurs, emotional peaks, friction points, and which segments need refinement. This lets you adjust with confidence.

Yes. A Sample Audience Session lets you experience the platform with your real content or questions through a live video session. You'll see how the system works and how quickly it provides decision clarity — before committing to a full study.

Virtually anything your audience will react to: TV spots, radio shows, podcasts, ad campaigns, marketing messages, digital formats, Instagram videos, YouTube concepts, thumbnails, websites, scripts, music genres, playlists, brand partnerships, product concepts, game trailers, visual identity, market positioning, competitive strategies, and more.

You can explore emotional reactions, friction points, blind spots, brand positioning, concepts, pacing, marketing angles, creative risks, trailers, competitive strategy, format changes, market dominance, and loyalty conversion. Questions receive answers from multiple audience profiles with human-like nuance — explaining the emotional reasoning behind their reactions, not just surface-level data.

You work live in real time with our consultants, exploring how audience profiles react to your content and ideas. Deliverables include clear presentations of the strongest reactions and hesitation moments, detailed audience segment profiles, strategic reports translating insights into actionable recommendations, and executive summaries for leadership.

Three main offerings: Strategic Market Study (1,000-person full-market intelligence with 90 days of focus group access), Precision Focus Group (100-person rapid reaction test), and Always-On Audience (real-time daily testing lab).

Our system collects information from thousands of places across the web — news outlets, academic journals, forums, social conversations, entertainment platforms, and public data sets. Each audience profile is enriched with cultural taste, lifestyle, values, entertainment habits, and emotional triggers, cross-referenced with reliable national data and platforms like Spotify, Goodreads, or Letterboxd.

Traditional methods were built for slower environments where group dynamics suppress honest opinions and results arrive too late. Our approach delivers honest reactions without group bias, filters, or delays — enabling real-time decisions instead of guessing under pressure.

Chatbots offer generic, mechanical answers. Our simulations are built from thousands of real data sources reflecting how people in specific markets think and behave. Each profile carries influences, preferences, experiences, and biases — responding naturally and unfiltered, without scripts or group pressure.

ChatGPT is a general-purpose engine producing consensus answers without direct data access or structured sampling. Our proprietary technology relies on specialized models, targeted data collection, cross-validation, and professional protocols delivering representative, salient, and actionable results.

Reliability comes from diverse audience profiles combined with rigorous verification. The system compares, challenges, and verifies every response from multiple angles — preventing echo chambers and ensuring minority opinions survive. Simulations are benchmarked against real-world qualitative studies whenever possible to confirm accuracy.

We build a wide spectrum of audience profiles reflecting real differences in age, culture, values, habits, and life experience. The simulation engine forces opposing viewpoints to confront each other, ensuring dominant opinions don't overshadow quieter or minority perspectives — surfacing every disagreement independently.

Yes. The entire system is fully compliant with GDPR and major global privacy regulations. Our approach was designed from day one to avoid data collection risks — no personal data, no individual tracking, no profiles, no accounts, no identity-based information.

No. Our system is privacy-native. We never use personal profiles, cookies, browsing histories, account logins, or private information. Audience models are built from public, aggregated, and anonymized cultural signals — not from individual people.

We help brands and organizations make confident strategic decisions without waiting weeks for traditional research. This includes testing concepts before launch, spotting early backlash signals, understanding what drives attention and retention, strengthening marketing messages, hearing diverse audience perspectives, and moving from slow retrospective studies to real-time clarity.