Deepsona : Predict real market reactions with synthetic audiences

Hey everyone, Monte here. We built this because research and marketing teams are still making decisions using methods and tools that haven't caught up with the age of AI: surveys, questionnaires, focus groups and mostly "we think this should work". Every time we spoke with marketers and product teams, the story was the same: they find out what works only after they've already spent the budget. We thought the order was wrong. What if you could have data on what works before you spend, not after? What if you could know which segments to target first, even before running your first real ad campaign? That's why we created Deepsona - a way to test ads, emails, pricing and even product MVP ideas on lifelike synthetic audiences before launch. No surveys, no paid traffic, no waiting weeks for data. You run a simulation and immediately see how different audiences react. We knew that getting the AI persona profile right, with high-fidelity accuracy, would be the key. Until now, most existing solutions in the synthetic audience simulation space were role-based chatbots producing a single output with no statistical significance and we knew that approach wouldn't work. That's why we built a fully agentic workflow where six orchestrated autonomous agents handle exposure, debate, scoring, QA, insight extraction and feedback, as well as making sure every AI persona is unique from psychological traits, category familiarity to price sensitivity, age, location or profession, no two are exactly alike. Also Deepsona is the first platform that lets you run behavioural simulations at 1M+ persona scale, far beyond the small chatbot style samples current tools generate. We're moving fast and shipping new features every week. If you'd like to join our case study partnership program, reach out to us. Deepsona is live today at deepsona.ai - happy to answer any questions!