Talk to your market before your market exists.

AI-native consumer intelligence platform for synthetic research, audience simulation and instant customer insights.

Traditional market research is often slow, expensive and difficult to scale. Our platform helps companies validate products, campaigns, pricing and positioning using AI-generated personas and synthetic respondents.

Instead of waiting weeks for recruitment and survey results, teams can receive structured insights, emotional reactions and audience simulations in hours.

We help brands, startups and product teams understand how customers may react before products are launched or campaigns go live.

Built for modern product, marketing and innovation teams.

Our workflows are designed for companies that need faster decision-making, rapid iteration and scalable customer intelligence.

The platform supports both consumer and B2B research scenarios, allowing teams to validate ideas, messaging and business strategies before investing significant resources into launch and distribution.

Industries

  • Consumer Brands
  • FMCG
  • Retail
  • SaaS
  • E-commerce
  • Agencies
  • B2B Companies

Fast

From 2 minutes to 24 hours

Insight delivery time.

Cheaper

From 10 USDT.

Cheaper than traditional research (trial study is free).

AI-native

Audience simulation workflows

Scalable

Synthetic consumer intelligence

From several hundred to several hundred thousand analyzed personas.

AI-powered consumer intelligence.

Concept Testing

Test product ideas, packaging concepts, positioning, and value propositions before launch.

Our platform models audiences, segments them into clusters, and collects reactions across different customer segments, helping teams understand emotional responses, purchase intent, and potential objections early in the process.

Synthetic Respondents

Create scalable synthetic audiences modeled on behavioral, demographic, and psychographic patterns.

This allows companies to instantly explore reactions across multiple audience segments and improve concepts faster than with traditional research workflows.

We create synthetic respondents based on real people and real-world discussions related to the research topic.

Ad & Creative Testing

Evaluate advertising campaigns, visuals, landing pages, and creative concepts before launch.

The platform identifies emotional reactions, trust signals, confusion points, and purchase drivers across different audience segments.

In addition, you can immediately launch a small-scale test campaign for your product on Twitter/X targeting selected audience segments. We provide a curated list of Twitter/X accounts representing each audience cluster. This allows you to validate your hypothesis with a relatively small advertising budget.

Social Research

Analyze audience attitudes toward various social issues and initiatives, and identify the most likely objections and concerns across different social groups.

This helps make your social projects more understandable and relatable to the audience, increasing participation and engagement from the widest possible range of people.

From idea to insight in hours.

How a request moves through graph intelligence, clustering and synthetic research.

1 User request 2 Seed account retrieval 3 Social Graph 4 Per-account Twitter data collection 5 User clustering 6 Synthetic respondents (per cluster) 7 Per-cluster survey 8 Aggregate opinion synthesis

Current stage: 1 / 8

User request Illustration — add files under assets/pipeline/ and set image in main.js.

Our methodology combines synthetic respondents, conversational AI and behavioral modeling so teams can validate decisions faster than with traditional recruitment-heavy research — without replacing human judgment where it matters.

Full methodology (PDF)

Use cases

Practical applications teams run before launch — from packaging to enterprise deals.

Concept & product

  • Product validation
  • Packaging testing
  • New category launches
  • Brand positioning
  • Startup idea validation

Qualitative at speed

  • Synthetic focus groups
  • Message testing via discussion
  • Objection discovery
  • Theme and signal summaries

Reach & B2B

  • Multi-segment comparisons
  • Scenario exploration
  • Procurement & CFO perspectives
  • Sales readiness

See AI-native research in action.

Audience Insight Example

Consumers associated the packaging with premium quality and modern aesthetics. However, younger audience segments questioned whether the product benefits justify the proposed pricing.

“The visual identity feels sophisticated and modern, but I would need clearer product differentiation before choosing it over existing alternatives.”

AI Focus Group Example


See what AI-generated consumer intelligence looks like.

Explore synthetic audience simulations, AI focus groups and behavioral insights generated through conversational AI and audience modeling workflows.

Sample dashboard: overall results, audience breakdown, and cluster distributions
Example output: aggregate sentiment, synthetic audience mix, and segment-level views.

Audience Profile

The simulated audience included:

  • Millennials aged 25–40;
  • urban professionals;
  • premium-oriented consumers;
  • sustainability-conscious buyers.

The platform analyzed both emotional and rational responses to product positioning and pricing.

Emotional Associations

Positive Associations

  • premium quality;
  • modern aesthetics;
  • innovation;
  • lifestyle positioning.

Negative Associations

  • price sensitivity;
  • unclear differentiation;
  • limited explanation of product benefits.

Synthetic Audience Discussion

“The branding feels premium and visually appealing, but I would like to better understand why this product costs more than alternatives in the category.”

“I associate the design with higher quality, although the messaging still feels slightly generic.”

Key Insights

  1. Consumers responded positively to the visual identity and premium positioning.
  2. Younger audience segments demonstrated increased sensitivity to pricing and product differentiation.
  3. Purchase intent improved when emotional messaging was combined with practical product benefits.

Recommendations

  1. Strengthen value communication on packaging and landing pages.
  2. Simplify product messaging and reduce conceptual complexity.
  3. Emphasize emotional positioning and lifestyle associations in advertising campaigns.