Test ideas before you take them to market.
Insight AI helps product, marketing, and strategy teams test concepts, messaging, and audiences in days, not months.
48 hrs
to launch a guided study
25+
monthly studies on Growth
150%
NRR potential with agent workflows
Live study
Concept resonance screening
Insight cluster
Buyers respond strongest when value framing pairs time-to-signal with executive confidence and governance.
Decision pulse
Go forward
72%
Needs iteration
19%
Pause
9%
Built for insight teams that need rigor and speed
Traditional research is too slow for fast-moving teams.
Insight AI cuts the gap between a market question and a clear next move, so teams can test more ideas before they commit budget.
Slow procurement
Research requests often wait on scoping, vendor alignment, recruiting, and scheduling before teams see any signal.
Low iteration velocity
By the time results arrive, the question has moved on and teams cannot explore adjacent options or alternatives.
Thin decision transfer
Outputs land as static decks instead of living systems that strategy, product, and marketing can build on together.
One platform for synthetic audiences, guided studies, and clear recommendations.
Build the study, run the test, review the signal, and share the decision from one operating surface.
Synthetic personas
Innovation lead
High urgency, wants signal before budget approval
Brand strategist
Optimizes resonance and narrative confidence
Research ops
Needs repeatability, governance, and team access
Narrative strength
Above benchmark
High-trust claims
91
Distinct
84
Adoption intent
77
Everything teams need to move from a question to a decision.
Use Insight AI to test messages, compare concepts, explore audiences, and share recommendations without adding research drag.
Synthetic persona lab
Build calibrated audience models with role, region, language, and behavioral context before you run live research.
Research studio
Run concept, message, pricing, and trend studies from one guided workflow instead of stitching together separate tools.
Behaviour prediction engine
Estimate resonance, drop-off risk, adoption intent, and next-best action with explainable outputs teams can use.
Simulation and strategy
Model scenarios, compare moves, and explore likely market reactions before teams lock budget or launch plans.
Reporting and collaboration
Turn findings into shareable reports, presentation-ready summaries, and clearer go or no-go calls.
Governance and agent control
Manage approvals, traceability, automation, and enterprise controls when Insight AI becomes part of a wider operating layer.
A simple workflow from question to action.
Each study follows the same path so teams can move fast without losing structure.
Frame the study
Set the question, context, and success criteria in one brief that the team can align around quickly.
Tune the audience
Build synthetic personas or audience cohorts by role, behavior, language, and market context.
Run experiments
Test concepts, pricing, messaging, journeys, and scenarios without slowing the roadmap down.
Share the decision
Review ranked findings, clear trade-offs, and next actions that leadership can use immediately.
Synthetic audiences
Model buyer mindsets before the first interview starts.
Build audiences by role, market context, or behavior. Then test claims, compare concepts, and uncover objections early.
Insight dashboard
Turn patterns into ranked themes and next steps.
Cluster signal, spot friction, and produce an executive summary that tells teams what to do next.
Primary buying driver
Speed to insight
Strongest friction
Perceived governance gaps
Best-performing narrative
Confident decisions without long study cycles
Next step
Validate top message in market
Built for the work behind product, marketing, and strategy decisions.
Use Insight AI to compare concepts, sharpen messaging, map market shifts, and improve launch decisions.
01
Concept testing before roadmap commitment
02
Messaging evaluation ahead of launch and media spend
03
Trend exploration for category strategy and innovation
04
Competitive response planning with scenario comparisons
Governance, privacy, and collaboration for larger teams.
Move fast without turning research into a black box. Insight AI supports control, traceability, and cleaner handoff across teams.
Role controls
Manage who can configure studies, review findings, and approve outputs.
Private data boundaries
Support internal governance expectations and category-sensitive workflows.
Audit-friendly history
Maintain study lineage, assumptions, and reporting artifacts across teams.
Exports and handoff
Move findings into leadership decks, spreadsheets, or downstream research plans.
Best for enterprise rollouts
Designed for teams that need approvals, cleaner handoff, and a more traceable path from study setup to leadership review.
Common questions from teams evaluating Insight AI.
Most teams bring Insight AI in when they want faster learning without expanding research overhead.
What is Insight AI?
Insight AI is a behaviour intelligence platform for running synthetic audience studies, guided experiments, reporting, and decision workflows from one operating layer.
Is this meant to replace all primary research?
No. Insight AI helps teams scope faster, compare more options, and improve decisions before or alongside live fieldwork.
What kinds of teams use Insight AI?
Common users include product, marketing, strategy, innovation, and research operations teams that need quicker signal before a launch or investment decision.
What makes Insight AI enterprise-ready?
Enterprise plans add approval workflows, auditability, agent controls, integrations, white-label options, and security features that support broader rollout.
Final CTA
Test faster. Launch with more confidence.
See how Insight AI can help your team test more ideas and make better calls before launch.