Census-Grounded Synthetic Populations
Rebuild Populations.
Predict Anything.
NoahAIC generates culturally rich, census-grounded synthetic populations of India and the United States. Run surveys, test products, and predict outcomes — without reaching a single real person.
Test products, messaging, and demand across India and the United States
— before you go live.
Two Populations, Synthesized
We combine real census microdata with cultural ethnography and AI to create synthetic populations that think, feel, and respond like real people — now across two markets.
IndiaCensus of India 2011
United StatesACS PUMS (US Census)
From Census to Insight
Census Generation
Ground synthetic households in real census demographics — Census of India (640+ districts) or ACS PUMS (US).
Feed Engine
Pull context from open public data — Census, PLFS, RBI, NFHS (India); ACS, BLS, Federal Reserve, Pew (US) — plus live trends and government APIs.
Cultural Consciousness
Layer culturally-specific psychology — Navarasa emotions for India, PANAS-grounded affect for the US — plus Big Five and cognitive biases.
Survey Execution
Run conversational surveys with AI-powered synthetic respondents — avg 77.8 words per response.
Aggregated Insights
Analyze responses across segments to predict market and cultural outcomes.
Census Generation
Ground synthetic households in real census demographics — Census of India (640+ districts) or ACS PUMS (US).
Feed Engine
Pull context from open public data — Census, PLFS, RBI, NFHS (India); ACS, BLS, Federal Reserve, Pew (US) — plus live trends and government APIs.
Cultural Consciousness
Layer culturally-specific psychology — Navarasa emotions for India, PANAS-grounded affect for the US — plus Big Five and cognitive biases.
Survey Execution
Run conversational surveys with AI-powered synthetic respondents — avg 77.8 words per response.
Aggregated Insights
Analyze responses across segments to predict market and cultural outcomes.
28+ Dimensions Per Agent
Each synthetic Indian carries 28+ psychological dimensions and 200+ demographic, economic, and behavioral traits.
Personality
5Big Five (NEOAC)
Calibrated from NIMHANS Indian norms and census demographics.
Emotion
11Navarasa Framework
Indian aesthetic theory — Sringara, Karuna, Bhayanaka, Izzat, Hope, and more.
Cultural Norms
55-Axis Social Code
Gender, urban-rural, caste, economic class, religious observance.
Cognitive Biases
7Decision Filters
Anchoring, loss aversion, confirmation bias, social proof, and more.
6-Phase Perception Engine
How each agent processes a stimulus — from intake to expression.
Perceive
Interpret stimulus through personal context
Feel
Activate Navarasa emotional response
Resonate
Check against cultural norms and memory
Judge
Apply cognitive biases and values
Conform
Adjust for social and group pressure
Share
Decide what and how to express
Perceive
Interpret stimulus through personal context
Feel
Activate Navarasa emotional response
Resonate
Check against cultural norms and memory
Judge
Apply cognitive biases and values
Conform
Adjust for social and group pressure
Share
Decide what and how to express
Built for Each Market's Complexity
Census-Grounded Demographics
Synthetic populations built on real Indian census data — district-level age, gender, occupation, and household composition.
Navarasa Emotional Framework (India)
9 classical Indian emotions mapped to each persona, enabling nuanced sentiment and cultural resonance analysis.
Thick Cultural Descriptions (India)
Rich, ethnographic narratives that capture beliefs, aspirations, daily rituals, and social dynamics of each segment.
Progressive & Conversational Surveys
AI agents conduct adaptive surveys that feel like natural conversations, reducing bias and improving response depth.
Product & Campaign Testing
Test products, campaigns, and creative assets against synthetic populations before launch.
Real-Time Data Integration
Connect live data feeds — economic indicators, social trends, news — to keep synthetic populations current.
Emotional Memory
Agents remember past experiences. A medical emergency last year colors how they respond to insurance questions today. Memory decays over time, just like real humans — recent events weigh more than distant ones.
Social Graph & Influence
Agents don’t exist in isolation. They belong to family units, peer groups, and community networks. Opinions spread through social graphs — extroverts amplify, introverts absorb, and izzat (family honor) suppresses what gets shared outside the household.
Grounded Finance & Payments (US)
A US persona’s money behavior is anchored in real data — income, debt, and credit from the Fed SCF and FICO, cash-use and carry habits from the Federal Reserve’s Diary of Consumer Payment Choice.
Validated Against Pew (US)
US panels are backtested against published Pew Research benchmarks and scored in public — cash use, carry-cash by age, AI attitudes — with the misses reported, not hidden.
Grounded in 20+ Public Data Sources
No proprietary black boxes — only publicly available government, institutional, and academic data sources.
India
Foundation
Economic
Financial Inclusion
Real-Time Feeds
Behavioral Science
United States
ACS PUMS (Census)
BLS CEX
Fed SCF & DCPC
Pew Research
MPA · Gallup · CDC
Same News → 5 Different Realities
“Major flood displaces 50,000 families in Bihar — death toll rising” · Raw severity: 0.70
Priya
Metro IT · N=1.0 · Calm optimist
shanta (peace)
Anxiety: +0.03
Action: Scrolls past
“Saw the headline. Sad but not surprised. Hope govt helps.”
Rahul
Tier-1 Student · N=2.3 · Balanced
karuna (compassion)
Anxiety: +0.06
Action: Notes it, moves on
“Feel bad for Bihar people. Donated last time. Maybe again.”
Meena
Tier-2 Teacher · N=3.5 · Moderate
karuna (compassion)
Anxiety: +0.11 · Joy: -0.05
Action: Shares + forms opinion
“This keeps happening every year. Government does nothing. Shared.”
Vikram
Tier-3 Shopkeeper · N=4.8 · Anxious
bhayanaka (fear)
Anxiety: +0.18 · Joy: -0.08
Action: Anxious but silent (low E)
“What if it comes here? My shop would be gone. No insurance.”
Sunita
Rural Homemaker · N=6.1 · High-N
bhayanaka (fear)
Anxiety: +0.25 · Joy: -0.12
Action: Deep distress, silent (low E)
“My hands are shaking. What if the river rises here too? We have nothing. No savings. Just fear.”
See how your product, campaign, or idea would perform across India's diverse population — before spending a single rupee on real research.
Free sample study — see the output before you talk to us
Open Wallet Study
20 synthetic Indians interviewed conversationally about spending, savings, and financial anxieties — 13 questions each, averaging 77.8 words per response.
Segments: Rural, Tier-1, Tier-2, Tier-3, Metro · Conversational survey · 100% completion rate
Desire for smartphones varies 4.0x across city tiers — Tier-1: 100%, Tier-2: 50%, Metro: 25%, Tier-3: 25%.
Top hidden spends: entertainment (30%), food delivery (20%), tea & snacks (15%)
Medical emergencies are the #1 financial worry (50%), yet only 10% have their own savings as an emergency fund.
45% depend on family, 40% on gold sales to cover emergencies
Voices from the Study
Real responses from synthetic agents — unedited, in their own words.
“By the twenty-eighth or twenty-ninth, the account is empty. If something unexpected comes up — a repair, a medical visit — we have to adjust. Sometimes I skip buying fresh vegetables and make do with what is in storage.”
Nafisa Khan
62F, Factory Worker, Haridwar
Metro
₹14,573/mo
“I keep track of every rupee in my diary. Once a month, I buy a packet of Maggi noodles for myself, costs about Rs 15 to 20. It is my one treat that I look forward to.”
Suman Shinde
46F, Informal Worker, Solapur
Tier-3
₹19,206/mo
“If Rs 25,000 was needed tomorrow, I honestly do not know where it would come from. We have no savings. I might ask my mother or extended family, but even they are struggling. Vivek would probably have to sell his auto.”
Anjali Verma
25F, Informal Worker, Shahjahanpur
Tier-2
₹5,851/mo
“The biggest thing keeping me up is what happens after graduation. My parents have invested in my education expecting I’ll land a decent job, and I’m genuinely stressed about whether I’ll find something.”
Aditya Patil
22M, Student, Pune
Tier-1
₹0/mo (dependent)
“30,000 would go to my brother for Pooja’s education fund, locked away. 20,000 I would use to start a small vegetable cart business like I dream. And maybe 10,000 I would finally spend on myself — a good saree set, some jewelry. This much money would change my thinking, but I would not waste it.”
Suman Patil
27F, Widow, Wardha
Rural
₹9,430/mo
“If twenty-five thousand rupees were needed urgently, I would have to ask my daughter first. I have no savings, no gold kept aside anymore. The gold my mother gave me was sold years ago for my daughter’s education.”
Nafisa Khan
62F, Factory Worker, Haridwar
Metro
₹14,573/mo
Tested Against Pew, Published Either Way
US synthetic panels are backtested against published Pew Research benchmarks — topline and by segment — and scored in public. These are from the scorecard, misses included.
Claude Sonnet · US backtest panel matched to Pew composition · ours vs Pew %.
View the accuracy page →“We independently validated the results through a physical field survey and found over 90% agreement… I wholeheartedly recommend NoahAIC.”
Jay P
CEO, a publishing organization
See It In Action
Explore how NoahAIC has been used for product and brand research, box office predictions, and consumer insight across India.
View Case StudiesWhy Noah?
Noah preserved the seed of all life when the world reset — carried forward every species, every lineage, every possibility, to rebuild civilization from ground truth.
We do the same with data. We rebuild entire populations synthetically — from census truth, cultural ethnography, and AI consciousness. Every household, every emotion, every aspiration reconstructed so the world can be understood without ever disturbing a single real person.
India is our first ark. Every district, every village, every unspoken pattern mapped and alive in silicon. But the vision is global — every nation, every culture, every human pattern, faithfully preserved and endlessly queryable.
The United States is the second — built the same way, validated the same way, in public.
AIC — the AI Company building the world's population, one census at a time.
NoahAIC API
Programmatic access to synthetic populations, surveys, and cultural intelligence — integrate NoahAIC directly into your product.
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