MatrAIx — Simulate Before Reality
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Simulating the World<br>with 8.3 Billion Persona Agents
MatrAIx is the simulated-user evaluation infrastructure for digital products and AI systems, grounded in a population of 8.3 billion persona agents.
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Live population · 8,300,000,000 agents
THE MATRAIX THESIS<br>The next frontier for agents is understanding humanity—and learning to behave like us.
01 · WHOPersona
02 · WHERE / HOWEnvironment
03 · WHAT / WHYApplication
OUTPUTEvaluation Results
01 — APPLICATION TASKS<br>Four types of user simulation tasks.
Type 1Survey<br>Type 2Chatbot<br>Type 3Web<br>Type 4App
MARKET RESEARCH · PROMOTION TEST<br>“Which offer would make you buy today?”<br>Free ship<br>82%
10% off<br>74%
Returns<br>61%
2× points<br>45%
CUSTOMER SERVICE · PRODUCT RETURNThese shoes don't fit. Can I return them?<br>Yes. Were they worn outside?<br>No, only tried on.<br>Your return is approved. Here's the label. ✓
shop.test/checkout<br>SHOPPING WEBSITE · CHECKOUT
SOCIAL APP · CREATE A GROUP
Survey<br>// questionnaires & feedback<br>Collect structured and open-ended user feedback for market research, concept testing, and preference analysis.
Chatbot<br>// conversational AI evaluation<br>Evaluate AI chatbots across task completion, customer satisfaction, helpfulness, safety, and multi-turn reliability.
Web<br>// web prototype evaluation<br>Evaluate web prototypes and features across usability, presentation, navigation, latency sensitivity, and task completion.
App<br>// app product evaluation<br>Evaluate app features and workflows across functionality, responsiveness, task success, and user preference.
02 — WHAT MATRAIX PROVIDES<br>From simulated users to actionable evaluation results.
Custom personas
Evaluation infrastructure
Evaluation reports
Telemetry data
Our audio model had no real sense of its users, so everyone got the same template. MatrAIx personas made every response nuanced and specific .
I was maintaining my own eval harness instead of doing research. MatrAIx evaluation infrastructure turned a thousand sessions into a config file .
One score tells me the model got worse. MatrAIx reports tell me which users it got worse for .
The bottleneck for our RL work is data, not compute. MatrAIx telemetry gives us real interaction trajectories worth training on .
03 — DEMOSee MatrAIx in action.
04 — EVAL INFRA<br>Start exploring the simulation stack.
◉ MatrAIx Eval InfraPERSONAENVEVAL
8.3B persona corpus
1,290 persona attributes
1,000+ applications
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Research questions, methods, and findings.
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Tasks, scenarios, and product evaluation.
Commerce & RetailSoftware & Developer ToolsFinancial ServicesHealthcare & Digital Health
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05 — OPEN RESEARCH COMMUNITY<br>Build the human layer of intelligence with us.
Join the Persona, Environment, or Application team and contribute through research, engineering, data, evaluation, or product scenarios.
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