Historical analytics only tell you what happened under yesterday's conditions. Graita lets your team rehearse tomorrow — simulating how real consumer cohorts react, weigh their household budgets, and influence one another in minutes.
2,500 free simulation credits included · No coding required · Already have an account? Sign in
Compress five weeks of concept screening and qualitative fieldwork into four hours. Explore 10 hypotheses early, then focus live fieldwork where uncertainty is highest.
Pre-test ad headlines, story positioning, and campaign hooks across target segments before committing media budget — and see verbatim reasons why an angle resonates or falls flat.
Measure willingness-to-pay ceilings, feature trade-offs, loyalty perks, and policy changes against real household budget constraints and status-quo habit inertia.
No panel recruitment delays, no survey fatigue, and no technical setup. Run everything from your browser dashboard.
Select a pre-calibrated population panel, describe a custom target segment in plain language, upload a CSV export from your CRM, or share an AI interview link on WhatsApp with real customers.
Pick one of 10 industry templates — Product Concept, Pricing Tiers, Campaign Copy, Financial Rewards, Retention, or Policy. Add the options and custom questions you want compared.
Get option preference shares, habit-adjusted action rates, and confidence scores (`TVD < 0.16`). Click any skeptic or champion to ask follow-up questions in a live Virtual Focus Group.
Explore how organizations test high-stakes decisions across seven industries before committing budget to the real world.
Everything your research, marketing, and product teams need — from audience creation to follow-up interviews — lives in one workspace.
Start immediately with verified population panels, synthesize custom audiences from a text prompt, or upload a CSV from your CRM.
Testing an ad headline or a hospital reminder shouldn't force you to enter a price. Fields adapt automatically to each stimulus category.
Customers talk to colleagues and family before buying. Compare Round 0 independent first impressions against Round 1+ social consensus.
Curious why 35% of respondents rejected Option B? Select them from your results table and ask follow-up questions in a live chat room.
Plausible-sounding text is not enough for business decisions. Graita combines observed behavioral constraints, deep qualitative motives, and statistical confidence scoring.
Every Digital Twin combines socioeconomic budgets, episodic memories, and four specialist reflections (Psychologist, Behavioral Economist, Sociologist, Demographer) to prevent generic AI stereotyping.
People often say “yes” in surveys and do nothing at checkout. Graita models both what people say (motive) and what they do (habit inertia & budget trade-offs) to report realistic conversion.
Each result is scored with a predicted Total Variation Distance (`TVD < 0.16` threshold) and tagged High, Moderately High, Medium, or Low confidence so you know where to trust it.
Combine our calibrated panels with your own CRM exports, survey spreadsheets, and AI customer interviews in a private, workspace-isolated environment.
Stanford CRFM — Foundation Model Evaluation Paradigm
Established that models used for high-stakes decisions must quantify their own uncertainty rather than outputting uncalibrated single answers.
Every simulation and survey question in Graita displays a predicted Total Variation Distance (TVD < 0.16 decision-grade threshold) and a four-tier Confidence Badge.
ACM UIST — Populated Prototypes for Social Systems
Showed how populating a scenario with diverse interacting personas exposes unexpected human reactions and second-order edge cases before launch.
Teams compare multiple product, pricing, creative, or policy options side by side against the exact same population cohort in minutes.
ACM UIST — Interactive Simulacra of Human Behavior ('Smallville')
Introduced the cognitive loop combining a long-term Memory Stream, weighted Recency + Importance + Relevance retrieval, and higher-order reflection.
Digital Twins recall relevant life experiences before answering and propagate word-of-mouth opinions across a Small-World social network.
Stanford CRFM & HCI — Generative Agent Simulations of 1,000 People
Demonstrated that agents grounded in qualitative interviews and 4-domain specialist reflections match human self-retest reliability at 85% accuracy.
Every Twin combines Psychologist, Behavioral Economist, Sociologist, and Demographer reflections — plus public AI Interview links (/i/:token) to onboard real customers.
EMNLP — Finetuning LLMs for Human Behavior Prediction
Training on 2.9M behavioral responses across 210 studies improved out-of-distribution alignment by +26% and modeled the gap between stated survey intent and real action.
Graita reports both Stated Preference (%) and Habit-Adjusted Real-World Action (%) so teams aren't misled by polite survey optimism.
1 credit = 1 Digital Twin response wave. Every new workspace includes immediate access to Pre-Built Panels, all 10 Industry Templates, and Virtual Focus Groups.
For product, brand, and growth teams pre-testing concepts, copy, and pricing before launch.
For research, marketing, and strategy teams running multi-wave social diffusion and customer interviews.
Dedicated Digital Twin banks calibrated on your first-party CRM, loyalty, and transaction data.
Everything you need to know about running studies in Graita. Have more questions? Visit our Help Center.
Not at all. Graita is built for Research, Marketing, Product, Sales, and Strategy teams. You select audiences, pick industry templates, run simulations, and chat with Virtual Focus Groups entirely from your web browser.
Standard AI assistants are trained to be helpful and agreeable ('sycophantic'), giving you generic averages or stereotypes. Graita runs a population of distinct Digital Twins — each anchored to a household budget, episodic life memories, 4 specialist reflections (Psychologist, Economist, Sociologist, Demographer), and social peer influence — producing realistic variance, objections, and Say-Do calibrated conversion rates.
Yes. You can upload a CSV export from Excel or your CRM (with customer demographics, past purchases, or survey responses) in two clicks, or send a public AI Interview link (/i/...) to real customers on WhatsApp to turn their answers into Digital Twins.
Graita adapts automatically. When you select Creative & Campaign Testing, Financial Rewards, Healthcare & Retention, Public Policy, or Executive Rehearsal, the builder switches from price fields to headlines, channels, switching friction, and behavioral action metrics.
Total Variation Distance (TVD) estimates how closely the simulated answer distribution matches real human behavior on a 0-to-1 scale. Results under 0.16 TVD are rated Decision-Grade (High or Moderately High confidence), helping your team see when to act immediately and when to validate further with live fieldwork.
1 credit equals 1 Digital Twin response in a single evaluation wave. Running an 8-person cohort with 1 round of Word-of-Mouth Social Diffusion (Round 0 independent + Round 1 peer influence) uses 16 credits. Every new workspace starts with 2,500 free credits.
Launch your first behavioral simulation in minutes with 2,500 free credits — or browse step-by-step guides in our Help Center.