PASE — Population Agent Simulation Engine

Your Clients Are Making $50M Decisions on 2,000 Opinions

A CPG brand testing a campaign with Gen Z women in the Midwest: $150K, 8-week traditional study vs. PASE: 10,000 agents, full results with demographics, strategic insights, and audio podcast — under $8, in 3 minutes.

Cost$150K<$8
Timeline8 weeks3 min

That’s not a prototype demo. That’s a production system running right now on Google Cloud.

Laurent Madeleni — AKQA | April 2026 | Built on Google Cloud Platform | Powered by JEPA + Gemini

The Platform

This Is Live. Right Now.

Four distinct workflows cover every research scenario — from replaying existing studies in new markets to running full what-if simulations with economic and media levers. Each one runs on the same production infrastructure, right now.

REPLAY A SURVEY

“We fielded this Pew study last quarter. What would it look like if we ran it in Miami-Dade right now?”

Select survey → Pick location → Define audience → Configure run → View results.

GENERATE NEW STUDY

“The client just called — they want to know how parents feel about screen time by tomorrow.”

Build from scratch, Likert/MC/binary/open-ended/ranking. Blank page to results in under 10 minutes.

TEST A CONCEPT

“We’ve got three campaign directions. Which one resonates with affluent suburban moms?”

A/B/C variants, auto-generated diagnostic battery: awareness, appeal, relevance, purchase intent, differentiation.

WHAT-IF SCENARIOS

“If unemployment spikes to 8% and media turns negative, how does that change brand perception?”

Economic levers (Unemployment, Gas Price, CPI, Consumer Sentiment, Fed Funds, Mortgage, VIX) + Media levers (Tone, Goldstein Score, Conflict %, Protest %, Event Volume).

The Payoff

You Don’t Get a Spreadsheet. You Get a Ready-to-Present Story.

Sample Distribution

Strongly Agree
38%
Agree
27%
Neutral
18%
Disagree
11%
Strongly Disagree
6%

Agentic Insight Pipeline

01

OBSERVE

AI reads every result, finds patterns a human would need hours to surface.

02

STRATEGISE

Writes the “so what” — strategic implications, opportunities, recommended actions.

03

VALIDATE

Self-checks every claim against actual data. No hallucinated stats.

04

COMPOSE

Designs scrollytelling HTML report, branded, responsive, with charts and pull quotes.

05

PODCAST

Narrates the report as audio briefing. MP3 download or in-app player.

06

PUBLISH

Hosted URL, version history, compare insights across simulations over time.

AGENT INTERVIEWS

“Talk to” individual agents. Q&A with a 28-year-old Black woman in Atlanta about why she rejected your campaign. With audio.

COMPARE EVERYTHING

Same study, different audiences/scenarios/times. Side-by-side with delta heatmaps.

RUN
RESULTS
INSIGHT
REPORT
PODCAST
SHARE
~3 minutes

Proof Points

Real Studies. Real Insights.

Every study below was run on the live PASE platform. These are not mock-ups or projections — they are actual simulation results with real strategic findings that would cost hundreds of thousands of dollars and months of time through traditional methods.

Starbucks Brand Health

25K agents100 questions, 8 sections

Key Finding

5.1% rate likelihood to recommend as “0” despite product satisfaction. Non-dairy upcharge identified as most disliked policy (37.5% strongly disagree).

Airbnb Trust & Safety

10K agents93 questions

Key Finding

57% worry about hidden cameras. “Unreliable” (35.6%) outranks “Authentic” (14.5%). 90%+ familiarity yet severe trust erosion.

Pepsi Brand Perception

1K agents108 questions

Key Finding

91%+ familiarity but 25.7% lack emotional connection. Zero-sugar = major growth opportunity (85.8% interest). Coca-Cola remains dominant challenge.

Starbucks App Deep Dive

100K agents100 questions

Key Finding

42% “Very dissatisfied” with core functionality, yet 40% rate app superior to competitors. 42.8% would visit less without it — dependency vs. frustration paradox.

The Science

Trained on 23,126 Real Americans

REAL PEOPLE

23,126 respondents, 63 waves Pew American Trends Panel (Sep 2021–Nov 2024). 483K response rows.

REAL DYNAMICS

Neural dynamics engine (JEPA) learned how real people changed over time. Ingests Federal Reserve data + 48M news events from GDELT.

CENSUS GROUNDING

Anchored to 84,414 US Census tracts, 240+ demographic variables.

GOOGLE SEARCH GROUNDING

Every question sent to Gemini + Google Search for real-world baseline before JEPA dynamics adjusts.

Most synthetic research tools generate from a frozen model. PASE queries the live internet for every question, for every segment, before generating a single answer.

Validation Metrics

0.0×

better than naive baseline

0/14

attitude variables outperformed

0

domains validated (politics, brand, tech, health, social)

0

countries (US + UK)

0%

cross-country transfer

60+ experiments. We broke it every way imaginable. Then we ran it on British election data without retraining and it still worked.

The Economics

What Used to Cost $150K Now Costs $8

The economics of synthetic population research fundamentally change what’s possible. When the cost of asking a question drops by four orders of magnitude, every strategic decision can start with data.

MetricTraditionalPASE
Time to results6–8 weeksMinutes
Cost per study$50K–$150K<$10
Sample size500–2,000Up to 100,000
Follow-up questionNew budget, new 8 weeksRe-run free (cached)
What-if scenariosNot possibleUnlimited, instant
Geographic resolutionRegional at bestCensus tract level

The cost of curiosity drops to nearly zero. Every pitch can start with data. Every strategy can be tested before presented.

LLM Tier Costs

Open-ended

Gemini 2.5 Pro

~$15–30/1K agents

Structured

Gemini 2.5 Flash

~$3–8/1K agents

Binary/MC

Gemma 3 (self-hosted)

~$0.50–2/1K agents

The Frontier

API-First. Edge-Ready. And About to Get Much Faster.

PASE is architected for integration at every level — from direct API calls to autonomous AI agents running surveys on your behalf. The progression from server to edge means costs approach zero for structured questions.

01

API-FIRST ARCHITECTURE

Every feature is an endpoint. REST API with endpoints listed. Python + TypeScript SDKs coming.

02

MODEL CONTEXT PROTOCOL (MCP)

Let any AI assistant run surveys. MCP server for PASE. Strategist says “Run brand health check on Starbucks among Gen Z women in Florida” → agent calls PASE.

03

WPP OPEN INTEGRATION

PASE as MCP server in WPP Open’s agent framework. Tools: create_survey, run_simulation, get_results, generate_insight. Research as a tool call.

04

CLIENT CLOUD DEPLOYMENT

License model. JEPA model ~400K params. Containerised, deployed to client’s GCP/AWS/Azure. Client pays compute, WPP licenses the model. Margin approaches 100%.

API
MCP
CLIENT CLOUD
EDGE

Edge Inference

~2MB ONNX artifact, runs in browser (WebAssembly) or phone. Sub-second, zero-cost for structured questions.

The Roadmap

The Next 90 Days

From working platform to client-ready product.

Already Delivered

JEPA dynamics engine (34.3× baseline)

Agentic insight pipeline (6-step)

Census-grounded population synthesis (84,414 tracts)

Podcast audio generation

4 survey workflows

Agent interview synthesis

Google Search grounding via Gemini

Real-time economic & media lever injection

Interactive scrollytelling HTML reports

Delta heatmap comparison engine

Hosted URL publishing with version history

Sprint Plan

01

Sprint 1

Apr 14–25

Scenario Engine & Sentiment

02

Sprint 2

Apr 28 – May 9

Longitudinal & Comparison

03

Sprint 3

May 12–23

Client Readiness & Vertical Customisation

04

Sprint 4

May 26 – Jun 6

UK Expansion & Scale

05

Sprint 5

Jun 9–20

Pilot Launch & Enterprise

July 2026 Target

July 2026: Production-grade platform with UK market coverage, enterprise client pilots, and full API + MCP integration for WPP Open.

The Ask

This Works. Let’s Make It Ours.

PASE is built. It runs. It produces results that would cost hundreds of thousands of dollars through traditional methods. What it needs now is momentum, pilots, and connections to the data that will make it unstoppable.

GIVE US MOMENTUM

WPP Media’s Momentum survey = training signal for global expansion. 70+ countries, $0 refresh cost, 24/7 population availability. “Not a replacement — an amplifier.”

PILOT IT

Pick 2–3 client briefs. Run alongside traditional research. CPG, Auto, Financial Services.

CONNECT IT

GroupM media intelligence, Kantar panels, Wunderman Thompson CRM. More data = more markets = more clients.

GPU cost is <$500/month. Infrastructure is built.

The question isn’t whether AI will transform research. It’s whether we’re the ones who do it.

Laurent Madeleni — AKQA