The opportunity is unclear
How large the concept’s market opportunity is has no quantitative basis, so projects get greenlit on experience.
AI Concept Testing
Let AI stress-test new-product concepts so decisions are not guesswork
AI Concept Testing is DeepZero’s new-product validation AI agent product, built on DeepAgent 4.0 Pro. It makes a strategic read of the new-product category, scores opportunities quantitatively, and uses Concept testing plus AI consumers to collect feedback fast and feed it back into concept optimization — sharply shortening the test cycle and giving brands a more complete basis for new-product decisions.
You only bet on a concept after you have tested it
Tests take too long
A round of concept testing often takes weeks. By the time results arrive, the market window has closed.
Feedback does not loop back
Testing leaves you with a report, and consumer feedback is hard to feed back into concept optimization quickly.
From concept to decision, AI runs validation as a closed loop
Not outsourcing a test and waiting for a report, but a continuously running validation job from AI Concept Testing: judge the category, quantify the opportunity, test the concept, collect feedback. Validation findings keep accumulating as the basis for new-product decisions, so every concept change has evidence behind it.
Category judgment
Make a strategic read of the new-product category, spell out market size and competitive dynamics, and pick the right battlefield first.
AI Category Judgment
Opportunity scoring
Score the new-product opportunity quantitatively. Whether a concept is worth doing is a number first, a debate second.
AI Opportunity Scoring
Concept testing
Collect feedback fast through Concept testing and AI-consumer validation, and cut the test cycle sharply.
AI Concept Testing
Feedback optimization
Consumer feedback loops back immediately to optimize the concept. What to change and how is evidence-based.
AI Feedback Optimization
Decision loop-back
Validation findings become a complete basis for new-product decisions, and keep accumulating as the brand’s concept-validation assets.
AI Decision Support
Every validation adds up, so the next new-product decision is more confident.
One AI Concept Testing product, four core capabilities
AI Concept Testing brings four core capabilities together, upgrading new-product validation from waiting for a report to testing and iterating in parallel.
AI Category Judgment
Make a strategic read of market size and competitive dynamics for the new-product category. Pick the right battlefield, then move.
AI Opportunity Scoring
Score new-product opportunities quantitatively, so project discussions start from numbers, not gut feel.
AI Concept Validation
Concept testing and AI-consumer validation run in parallel to collect real feedback fast.
AI Feedback Optimization
Consumer feedback feeds concept optimization immediately. You set the iteration pace.
Let AI validate your next new-product concept now
See how AI turns category judgment, opportunity scoring, and consumer validation into the everyday of new-product decisions.
