Psychometrically-grounded synthetic audiences for any research domain.
Each synthetic person carries a validated personality profile, a documented life history, and responses to 13 international social surveys, seeding genuine opinions on politics, religion, work, family, inequality, and environment before they see a single stimulus. Consumer campaign pre-testing, political message simulation, public policy modelling, and AI training data production. Results in hours, not months.
Every existing method is structurally broken
Consumer research has not fundamentally changed in thirty years. The three dominant methods all produce flawed data by design.
Social desirability bias
People say what they think the moderator wants to hear. A high-Yielding respondent endorses a product they privately dislike rather than disappoint the room. The data reflects social dynamics, not genuine response.
Requires production commitment
You must commit budget, build the variants, and run real users through an inferior experience for days or weeks. A/B testing tells you what happened. It does not explain why different people responded differently, and it cannot test ideas that do not yet exist.
Stated versus actual behaviour
Surveys measure what people say they will do. Decades of behavioural research confirms the gap between stated preference and actual behaviour, particularly for purchases, financial decisions, and anything socially sensitive. You are measuring intentions, not actions.
Built on thirty years of personality research, extended for the digital age
DYNAMICS is our proprietary 8-dimension behavioural simulation framework. It extends established personality science (Big Five, HEXACO) with two dimensions purpose-built for digital behaviour: Acuity (digital platform fluency) and Impulsivity. Each dimension is scored 0.0 to 1.0 with four facets, giving Kronaxis the most complete model of human behavioural variation available for synthetic audience research.
Stanford University research published in 2023 and 2024 demonstrated that an AI system primed with a detailed life narrative about a real person replicates that person's responses with 85% accuracy. Kronaxis inverts this: start with a target demographic and construct the people who match it, not copying any individual, but calibrated against the public behaviour of similar real consumers.
Grounded in 45 years of validated international survey research
DYNAMICS gives each synthetic person a stable personality. Cross-national social survey research gives them genuine prior opinions. Academic research consortia across 45 countries, including programmes behind the British Social Attitudes survey, have administered identical validated instruments across populations and time since the early 1980s. Those instruments map the territory of human social opinion.
Before any synthetic consumer sees a client stimulus, Kronaxis administers structured survey instruments across 13 validated research domains. Their stated opinions on work, family, politics, religion, inequality, and the environment are recorded and propagated forward into every subsequent stimulus response. This is not simulated opinion. It is opinion derived from validated instruments used by academic and government research programmes worldwide.
A synthetic voter who scored high on authoritarian values in the Role of Government module and low on social trust responds to a party political message in a fundamentally different way from one who scored high on civic participation and institutional confidence. The difference is not generated on the fly. It was recorded months before the stimulus arrived.
From demographic specification to predicted response
Why this is not a survey tool
Synthetic data tools already exist. They produce statistical distributions that mimic training datasets. What they do not produce is a panel of agents with individual personality, persistent memory of their own experiences, and the ability to respond to arbitrary future stimuli in ways determined by their character rather than by a statistical rule.
Persistent memory
Panels persist and develop over time. A persona that encountered your brand six months ago in a different context remembers it. Longitudinal brand tracking, category evolution, and campaign sequence effects are measurable because the panel has a history.
Causal, not correlational
The predictions reflect the causal mechanisms of human decision-making: personality driving plans, plans governing receptiveness to stimuli. Not historical correlations from training data. The model explains why a segment responds differently, not just that it does.
No social desirability bias
Synthetic consumers have no moderator to please and no social group to conform to. A high-Yielding persona still produces their genuine character-driven response, not a performance of agreeableness for an audience.
Test before it exists
A stimulus does not need to be a finished production asset. A sentence description, a rough concept, a pricing scenario, a messaging variant that has not been designed yet. Any of these can be injected. No traffic required, no production commitment, no A/B test infrastructure.
Every panel run produces two products simultaneously
Alongside the market research report, each panel run exports a structured training dataset: DYNAMICS-tagged, causally grounded, and ready for direct ingestion into a model training pipeline. This is the product AI developers cannot find anywhere else at this fidelity.
What other synthetic data tools produce
Statistical distributions. Rows that resemble training data in format. Useful for augmenting tabular datasets and filling distribution gaps. Not useful for teaching a model how a specific type of person reasons through a decision.
What Kronaxis produces
Reasoning traces. Each record captures a specific persona, with a documented personality profile, a constructed life history, and a current emotional and economic state, processing a stimulus and producing a response. The data shows why a person chose option A over option B, not just that they did.
DYNAMICS-tagged records
Every record includes the full eight-dimension DYNAMICS profile of the generating persona. Filter, weight, and sample by personality type to produce training corpora balanced across the human personality distribution or targeted at a specific segment.
Consistent cognitive voice
Each persona has accumulated memory and consistent behaviour across months of operation. A record from a given persona on stimulus 12 is written in the same cognitive voice as every prior record from that persona, across all domains and emotional states.
Built to government specification
The cognitive models generating this data were engineered to satisfy government-grade authenticity requirements, not simplified for commercial use. That engineering standard is the quality certification. No other synthetic data supplier built their system to this requirement.
Export format and supply arrangements
Training data exports as JSONL. Each line contains the instruction prompt, the persona's response, full DYNAMICS profile, emotional state at time of response, and panel/run identifiers for provenance. Compatible with instruction-following, preference-pair (RLHF), and chain-of-thought fine-tuning pipelines.
Data supply agreements are available for foundation model developers, AI research labs, and enterprise AI teams. Custom stimulus domains, volume pricing, and dataset specification to requirements.
Enquire About Data SupplyWhat organisations use the panel for
Campaign Pre-testing
Test creative executions, headline variants, and visual approaches against your target personality segments before media spend is committed. Identify which segment responds best to which execution.
Product Launch Modelling
Simulate consumer response to a new product across price points, feature sets, and positioning variants. Identify the configuration that maximises predicted purchase intent for your target demographic before a single unit is manufactured.
Pricing Research
Inject different price points as stimuli and measure predicted response across personality segments. The segment most sensitive to price comparison and value calculation identified automatically.
Message Testing
Compare five positioning messages for the same product in under an hour. Receive quantitative response rates broken down by personality type, plus sample verbal responses in each segment's language. Research that would take four focus groups and six weeks takes forty minutes.
Competitive Response Modelling
Feed in a competitor's launch, price change, or campaign as the stimulus. The panel simulates how your target consumers process it. Identify whether the competitive move threatens your position and in which segments the impact is greatest.
Longitudinal Brand Tracking
A persistent panel that develops over time allows tracking of brand perception changes across campaigns, category news, and competitor activity, without re-recruiting respondents, without panel fatigue, and without the cost of continuous fieldwork.
Political Research
Voter Sentiment and Message Testing
Simulate voter response to campaign messaging, manifesto commitments, and political events across demographic and personality segments. Identify which messages land with swing voters without conducting fieldwork in marginal constituencies. Test narrative framing for policies before public release.
Policy Simulation
Public Response Modelling Before Announcement
Model how different population segments will respond to a proposed policy intervention (tax changes, welfare reforms, public health mandates, planning decisions) before the policy is announced. Identify where opposition will concentrate, which communities face disproportionate impact, and how communications should be calibrated for each segment.
Defence & Intelligence Research
Population Sentiment and Influence Pathway Modelling
Model how specific narratives propagate through synthetic population cohorts differentiated by personality, trust, and prior belief system. Identify which segments are most susceptible to influence operations. Test counter-narrative communications before deployment. Supports DSTL and defence-adjacent research programmes.
Platform capabilities
| Capability | Detail |
|---|---|
| Personality model | DYNAMICS (8 dimensions, continuous scores 0.0-1.0, four facets per dimension, calibrated against demographic reference) |
| Panel size | 50–10,000 synthetic consumers per panel (standard delivery: 200–2,000) |
| Stimulus types | Text (any length), image description, audio transcript, pricing scenario, concept statement |
| Output formats | Quantitative aggregate (response rate, sentiment, purchase intent, channel preference, time-to-conversion) segmented by personality quartile |
| Verbal response | Optional: sample conversational replies per segment, in the persona's voice and register |
| Turnaround | Panel construction: 2–4 hours. Single stimulus run: under 60 minutes for a 1,000-person panel |
| Panel persistence | Panels persist indefinitely. Memory accumulates across stimulus runs. Longitudinal tracking is native. |
| Survey grounding | 13 validated cross-national survey instruments administered per persona prior to any client stimulus. Opinions on politics, religion, work, family, inequality, and environment seeded before research begins. |
| Belief consistency scoring | Automated adversarial consistency probe measures alignment between stated survey beliefs and stimulus responses. Personas flagged below 0.75 consistency score for review. |
| Longitudinal re-administration | Survey modules re-administered periodically; drift detected per question (reinforced/shifted/reversed) with magnitude scoring. Belief evolution is tracked over panel lifetime. |
| Demographic calibration | Profiles are calibrated against reference population data. No individual is identified or copied. |
| Deployment | API access (JSON), dashboard interface, or managed service with report delivery |
| IP | UK patent application pending. Proprietary methods, independently developed. |
Panel access tiers
All tiers include panel construction, unlimited stimulus runs within the period, and full output reports. Custom enterprise pricing is available for large panels, high-volume stimulus programmes, and white-label agency licensing.
Single project use. One panel, one campaign or product test.
- Panel of up to 500 synthetic consumers
- Up to 10 stimulus runs
- Full personality-segmented output report
- Standard turnaround (24 hours)
- Email delivery
Ongoing research programmes. Persistent panels with continuous access.
- Up to 3 persistent panels (2,000 consumers each)
- Unlimited stimulus runs
- Verbal response output included
- Priority turnaround (under 4 hours)
- API access
- Quarterly panel refresh
Agency licensing, white-label deployment, large panel programmes.
- Panels up to 10,000 consumers
- White-label API with your branding
- Custom demographic calibration
- SLA-backed delivery
- Dedicated account management
- On-premise deployment available
See your audience before you commit to a position
Request a demonstration and we will run a live panel stimulus against your target demographic or population segment, whether commercial, political, or policy, using a provided or suggested research question. No commitment required.