Predict the future of human systems.

Predictive psychometrics powering the most accurate agent-swarm simulation platform. Instantiates thousands of customized cognitive profiles in a secure sandbox.

+39–193% Lift Over Behavioral Baselines
Pearson Correlation Up to 0.93
Cross-Domain Predictive Accuracy

Validation

We Test Against Real Outcomes.

We test Tiresias against real outcomes the model never saw during training — not against how consistently an AI agent repeats itself.

Retrospective Validation Design

Ground truth: CDC county vaccine completion and NYT county mask-use data, covering 3,126 US counties. Method: retrospective, held-out county-level evaluation.

Social Network Contagion

We instantiated county-level agent swarms placed inside small-world contact networks. Behaviors spread dynamically via simulated peer-group interactions and individual psychological susceptibilities.

Generalizing Across Domains

By predicting complex human compliance during a global black-swan event, Tiresias demonstrates that personality is learnable at scale and generalizes to predict consumer, political, or strategic decisions.

Model Performance vs. Demographic Baseline Pearson correlation (r)

Demographic-Only BaselineTraditional prediction model
r ≈ 0.35
35% Correlation

Legacy models predicting behavior based solely on demographic variables (age, income, education).

Equal-County Pearson rCDC & NYT Datasets
r = 0.86
86% Correlation

Tiresias validation giving equal weight to all 3,126 US counties in retrospective evaluation.

Population-Weighted Pearson rCDC & NYT Datasets
r = 0.93
93% Correlation

Tiresias validation accounting for lower statistical reliability in small-population counties.

Every published number comes with a confidence interval and a reproducible methodology. We'd rather show you a real 0.8 with the receipts than an unverifiable 0.9 without them.

Platform Philosophy

Behavioral data tells you what happened.Psychometric AI tells you why—and what's next.

Synthetic Focus Groups

Instantiate thousands of calibrated consumer personas on demand. Run comprehensive synthetic focus groups and user surveys in seconds to pre-test messaging, product features, and creative copy.

Decades of Research

Translating validated Big Five (OCEAN) frameworks from academic laboratories into low-latency production pipelines. Personality science, finally engineered for high-scale enterprise workloads.

Calibrated Consumer Panels

Avoid generic LLM biases. By grounding agent swarms in actual Census and psychographic data, we construct calibrated consumer panels that reflect real-world populations with validated accuracy.

The Simulation Economy

“The simulation economy will soon face a reckoning over its accuracy.”

Most modern agent-swarm platforms populate simulation environments with generic LLM personas that fail to replicate real human choices. Tiresias was built to solve this—providing the world's most accurate psychometric agent-swarm simulation platform, grounded in decades of established personality-science research.

Target Sectors

Specialized Simulation Environments

Tiresias engines are tailored for high-stakes decisions where traditional behavioral data is absent or outdated.

Entertainment & Media

De-risk slate greenlights, predict content valuation, and run cognitive audience segment mapping before production begins.

Explore Slate De-risking

Defense & Intelligence

Analyze regional narratives, simulate population-level behavioral responses, and deploy secure, air-gapped threat profiling.

Review Defense Operations

Marketing & Advertising

Activate psychographic targeting in a post-cookie landscape. Simulate message variant lift before launching capital-intensive campaigns.

Preview Messaging Models

Live Simulation Loop

Digital Footprint to Psychometric Swarm

Observe how raw digital telemetry is parsed in real-time, mapping stable personality traits to simulate macro behavior.

Raw Telemetry IngestSource: Reddit
>|
OOpenness98%
CConscientiousness88%
EExtraversion0%
AAgreeableness2%
NNeuroticism20%
Inferred Taste ArchetypeActive Profile
OCEAN

The Solitary Intellectual

Characterized by high analytical openness and task-focus, preferring structured individual debate over volatile group dynamics.

TASE Swarm Simulation Engine Live Simulating

Projecting individual archetype weights to predict macro outcomes across a swarm representing N=6,000 validated nodes.

Swarm Retention91.2%
Propagation12.4%
Platform Match84%

System Architecture

The Tiresias Garden Pipeline

A secure, end-to-end framework translating unstructured digital signatures into actionable, population-level foresight.

01Multi-Source Digestion

Telemetry Ingestion

Secure ingestion pipelines capture unstructured digital telemetry—such as communications, content signals, or behavioral tracks—converting them into standard sequence vectors.

02Latent Profile Parsing

Psychometric Inference

Proprietary psychographic engines translate sequence vectors into stable Big Five (OCEAN) traits, extracting structural personality dimensions from digital exhaust.

03TASE Agent Swarm

Swarm Instantiation

Our core engine populates a custom simulation environment with thousands of cognitive agents, mapped to mirror the target demographic's psychometric distribution.

04Outcome Forecasts

Behavioral Projection

Agents navigate simulated decision trees to generate aggregate adoption forecasts, narrative propagation rates, and commercial recommendations.

All pipelines deploy on secure AWS/Azure VPCs with full air-gapped capabilities available for Defense installations.

Core Pillars

Proprietary Architecture, Proven Accuracy

Augur v1

Semantic Psychometrics

Our proprietary text-to-personality engine. Built to parse written footprints—scripts, reviews, chats, and transcripts—and extract underlying cognitive dimensions with a Pearson r > 0.50.

High-latency batch or real-time inference

T-Score

Standardized Psychographic Indexes

A unified coordinate system mapping populations into 1,024-dimensional psychographic vectors. Translates raw Big Five dimensions into actionable taste and compliance indices.

Cross-domain demographic norm coverage

TASE Swarm Engine

Tiresias Audience Simulation Engine

Our agentic execution environment. Instantiates thousands of customized cognitive profiles in a secure sandbox, simulating response distributions with extreme macro fidelity.

Fully air-gap capable for secure deployments

About Us

Decades of established personality-science research, finally production-ready.

Tiresias was born at the intersection of academic psychometrics and modern data engineering. We believe the future of audience prediction lies in understanding fundamental human personality structures, not invasive digital surveillance.

01

Oxford Psychometrics

Founded by an Oxford psychometrician — trained in the statistical measurement of human behavior, personality theory, and latent trait modeling. The science of quantifying what drives people.

02

Enterprise Data, F500 Scale

5+ years leading AI and data transformation for Fortune 500 companies. Saw firsthand how the industry's hunger for user data creates fragile, privacy-hostile systems — and how much better the models could be.

03

The Insight

What if we didn't need more data — but better models of people? Applied decades of academic psychometric research to build a prediction engine that starts with who you are, not what you've clicked.

FAQ

Frequently Asked Questions

Understand how Tiresias applies psychographic agent-swarm models and demographic calibration to deliver validated audience simulations.

Get in Touch

Start a conversation

Whether you're evaluating a content acquisition, planning a portfolio strategy, or preparing a campaign launch — we'd welcome the conversation.