synthotype Run a decision
Decision rehearsal01 / Synthetic world

A synthetic world of people

Predict market reality.
Before you spend a single dollar.

SynthoType gives teams an opinionated synthetic population to pressure-test market positioning, product flows, media, and agentic workflows — continuously calibrated against real human behaviour and conversion ground truth.

Enter the world Bring an expensive question
Scroll to move through the populationsynthotype / 001
02 / The premise

The world is the test environment.

The average response is where useful tension goes to disappear.

A synthetic world keeps the outliers, the objections, the context, and the quiet reasons someone might change their mind. It turns “what do people think?” into a set of decisions you can inspect.

decision intelligence / comparative matrix

How continuous synthetic rehearsal outpaces legacy research

A side-by-side evaluation of turnaround velocity, dissenting outlier preservation, programmatic machine integration, and real-world ground-truth calibration.

Core Vector Legacy Method Traditional Focus Groups Legacy Method Static Market Surveys ★ Next-Gen Rehearsal SynthoType Swarm
Turnaround Velocity
Time to decision signal
3–8 weeks Recruitment & Moderation Agency sourcing, room scheduling, and manual transcript bottleneck.
2–4 weeks Fielding & Analysis Panel turnaround lag, response quotas, and delayed reporting cycles.
⚡ < 60 seconds Instant Scenario Rehearsal 300x acceleration. Rehearse 10 distinct positioning moves in a single afternoon.
Sample Depth & Dissent
Outlier capture vs consensus
8–12 participants Vocal Groupthink Bias Dominant participants drown out quiet, critical purchase objections.
Flat averages Outliers Lost in Mean Aggregations dilute severe objections that kill real high-intent conversions.
✦ 148+ Dynamic Agents Captures Extreme Dissent 4 orthogonal cohorts with persistent priors; outliers preserved and measured.
Feedback Resolution
Diagnostic granularity
Vague summaries Subjective Notes Second-hand impression summaries without structured tension telemetry.
Aggregated % Scores Without Why Tells you 34% hesitated, but cannot reveal what copy or price unlocks them.
✓ Exact Friction Logs Tension & Objection Maps Granular per-cohort friction quotes, anxiety triggers, and root-cause logs.
Agentic Integration
Autonomous workflow fit
Manual only Zero Programmatic Hook Requires meetings and slide decks; impossible to wire into autonomous agent CI/CD.
Static exports Disconnected CSV / PDF Offline files that require manual human data extraction and re-entry.
⚡ Native API Loop swarm.review() Integrates natively into agent loops; automatically reviews and refines assets.
Ground-Truth Calibration
Empirical feedback loop
Zero calibration Unanchored Opinions No mechanism to test whether focus group consensus reflected market reality.
Post-campaign only Lagging Periodic Reviews Retrospectives happen months later after capital and runway are already spent.
✓ Closed-Loop RL Live Conversion Ground Truth Live human purchase and conversion metrics continuously tune persona weights.
03 / The world

Not a persona deck

A population with memory, context, and a point of view.

Each synthetic persona carries more than a demographic label. Give the world a brief, a product, a message, or a moment — then watch different cohorts interpret the same move through different constraints and priorities.

Research becomes a continuous rehearsal: observe the distribution, follow the disagreement, and feed real customer conversions back into the population to compound predictive accuracy over time.

memorywhat came before
contextwhat is true now
dissentwhat will not average out
population / live viewlistening
04 / The tests

One brief. Many possible responses.

See where the world leans — and where it pushes back.

Run the same decision through named cohorts. SynthoType makes the shape of the response visible, so a “yes” can be separated from a “yes, if…” and a “not for me.”

synthetic demo / illustrative

Message resonance across cohorts

Illustrative cohort response chart. Values are synthetic examples, not market claims.

Illustrative synthetic output. Calibrate against real-world evidence before making a high-consequence decision.

05 / The rehearsal

One world, many expensive questions.

Give every move a rehearsal.

Use the same synthetic population to pressure-test what changes the outcome: the offer, the experience, the message, the channel, or the next line of code.

01

Find the objection before the launch deck does.

Segment by situation, not just age or title. Ask how value changes when the budget is tight, the team is busy, or the category is unfamiliar.

outputobjection map + cohort tension
05b / Empirical evidence

Before vs. after synthetic rehearsal

Real decisions de-risked before spending capital.

Inspect three high-stakes commercial bets where synthetic cohorts exposed critical friction points prior to launch—allowing teams to pivot parameters, protect runway, and compound conversion.

01 / The Initial Move

Per-Seat Enterprise Tier to Pure Token Usage

Hypothesis: Shifting from $140/seat/month to raw token metering ($0.002/1k tokens) would lower barriers for smaller accounts and expand high-volume usage.

78 / 100 Synthetic Friction Index

Value Seekers: “Uncapped usage makes procurement impossible. Our VP of Finance cannot approve a variable liability with unknown tail risk.”

Power Users: “Automated loops make token consumption non-deterministic. One runaway background worker could drain our monthly runway.”

02 / The Rehearsed Pivot

Predictable Spend Caps + Rollover Buffer

Rehearsed Adjustments: Introduced guaranteed hard quarterly spend caps, automated webhook alerts at 80% usage, and 30-day unused credit rollovers.

+38% Enterprise Sign-off Velocity

Zero Runway Anxiety: Skeptics and Value Seekers shifted from adversarial objection to immediate budget sign-off.

Empirical Ground-Truth Proof: Pilot conversions matched the synthetic prediction within 4.2% fidelity, accelerating sales cycles from 45 to 28 days.

06 / The loop

Synthetic personas for agentic engineering

Give every asset a swarm review.

An agent makes the first pass. A synthetic swarm exposes the friction. When real human conversion data enters the loop, accurate persona predictions are reinforced — grounding synthetic intelligence in empirical customer behaviour.

  1. 01 current
    brief asset + audience + constraint
  2. 02 ready
    swarm review many contexts, one artifact
  3. 03 ready
    rubric clarity · trust · usefulness
  4. 04 ready
    refine critique back to the agent
  5. 05 ready
    human handoff threshold met / judgment retained
Step 01 / Ingestion Ingesting asset specifications, persona priors, and success boundaries.
the asset can be

landing pageonboarding flowad conceptpricing pagefeature specgenerated code 

for (round of loop) {
  const review = swarm.review(asset, { rubric, cohort });
  asset = agent.refine(asset, review.critique);
  if (review.score >= threshold) break;
}
system telemetry / performance specifications

Quantitative benchmarks for decision intelligence

< 60s Turnaround Velocity

Instant scenario simulation vs 3–8 weeks for traditional focus groups or survey recruitment (300x acceleration).

148 nodes Cognitive Swarm Scale

148 concurrent synthetic agents structured across 4 orthogonal cohorts isolating high-value dissent and outliers.

4 vectors Multi-Perspective Rubric

Quantitative scoring across Clarity, Credibility, Friction Index, and Conversion Intent on a normalized 0–100 scale.

Closed-Loop Ground-Truth Calibration

Live human conversion analytics continuously reinforce accurate predictive pathways and penalize hallucinations.

07 / The boundary

Ground-truth validation

Synthetic predicts the move. Real human behaviour sharpens the world.

SynthoType is designed as a closed-loop system, not an isolated simulator. When a synthetic persona anticipates friction, hesitation, or conversion, and live human behavior confirms that outcome, the model rewards that predictive pathway — refining persona weights and compounding fidelity over time.

Real-world evidence does not replace the synthetic world; it anchors it. Every customer purchase, click, and drop-off becomes ground-truth calibration that keeps synthetic understanding aligned with living reality.

01synthetic prediction02human conversion proof03reinforcement calibration
07b / Enterprise governance

Security, privacy, and sovereignty

Built for high-stakes enterprise decisions.

Every rehearsal runs in an isolated, cryptographically verifiable environment. Your strategic briefs, proprietary product flows, and conversion metrics never leave your boundary.

01 / Isolation

Zero Foundation Model Ingestion

Client question sets, proprietary positioning briefs, and telemetry data are never ingested into foundation model training corpuses. Complete prompt isolation with zero retention guarantees.

02 / Sandboxing

Air-Gapped Simulation Memory

Each synthetic audience simulation executes inside dedicated, ephemeral memory boundaries. Multi-tenant data segregation prevents cross-account context leakage or parameter contamination.

03 / Verification

Deterministic Versioned Runs

Every rehearsal generates cryptographically hashed run records with versioned cohort priors. Re-simulate exact scenarios with reproducible seeds for internal compliance and executive auditing.

04 / Sovereignty

Australian Enterprise Entity & SLA

Operated by Mindscale (ABN 12 137 039 923). Enterprise agreements supported by custom NDAs, dedicated VPC deployments, SOC2 Type II aligned controls, and bespoke data residency SLAs.

VPC Peering Available Signed Audit Logs (JSON/CSV) Enterprise NDA Backed Webhook Alert Engine Role-Based Access Control
08 / Knowledge & verification

Direct answers for technical & commercial teams

Frequently asked questions.

Everything you need to know about synthetic audience simulation, closed-loop calibration, and agentic engineering integration.

What is SynthoType?

SynthoType is an AI-native synthetic audience simulation and decision rehearsal platform developed by Mindscale. It provides teams with an opinionated synthetic population to pressure-test market positioning, product UX flows, advertising creative, and agentic workflows before committing financial capital, engineering sprints, or media spend.

How does synthetic audience simulation differ from focus groups?

Traditional focus groups take weeks to recruit, capture tiny sample sizes (8–12 people), and suffer from social desirability bias. Static surveys flatten rich objections into unhelpful statistical averages.

SynthoType provides instant, repeatable rehearsals across persistent cohorts that possess memory, domain constraints, and distinct dissenting viewpoints, enabling teams to simulate complex market decisions in hours rather than quarters.

How does real human conversion ground truth validate synthetic predictions?

SynthoType operates as a closed-loop system rather than an isolated simulation. When a synthetic cohort predicts customer friction, objection patterns, or conversion likelihood, and live human analytics confirm that outcome, the model rewards that predictive pathway.

This continuous reinforcement calibration compounds fidelity against living commercial reality.

What cohorts exist in the SynthoType synthetic population?

The population is structured into four core behavioral cohorts: Value Seekers (ROI-focused, price-sensitive, highly analytical), Power Users (throughput-driven, API-first, edge-case evaluators), Category Newcomers (jargon-sensitive, looking for low cognitive overhead and frictionless onboarding), and Skeptics (risk-averse, adversarial, demanding verified security and social proof).

How do autonomous engineering agents integrate with SynthoType?

SynthoType integrates directly into agentic development loops. After an AI agent drafts a product feature, ad variant, or landing page, a synthetic swarm conducts a multi-perspective review across custom rubrics (clarity, credibility, usefulness).

The critique is fed back into the agent for automated refinement until a predefined threshold is met, followed by human-in-the-loop review.

Is client data kept private and confidential?

Yes. Enterprise question briefs, proprietary product flows, and ground-truth conversion metrics remain strictly isolated within the client tenant. SynthoType enforces enterprise privacy protocols, ensuring proprietary rehearsal data is never mixed across accounts or utilized to train general public models.

09 / Begin here

Start with an expensive question.

What would you test if the world was already waiting?

Tell us the move you are considering. We will map the first rehearsal around the decision, the audience, and the evidence you already trust.