Simulate Human
Thinking & Behavior
at Population Scale
OSINT-Grounded. Population-Scale. Predictive. Privacy-Safe.
Benefits
SPECTRA: Flight Simulator for the Information Domain
Bilbo's SPECTRA is a privacy-safe way to test narratives and forecast how beliefs, emotions, and trust may shift across populations before messages go live.
Grounded in Real-World Signals
Polls rely on small samples and self-reported answers. SPECTRA builds synthetic populations from aggregated open-source demographic, behavioral, psychographic, and media signals to better reflect real-world population structure.
Population-Scale, Not Small-Sample
Focus groups and surveys capture only a fraction of the audience. SPECTRA models response across segments, communities, and influence networks at population scale, so teams can see how narratives move through the population.
Foresight Not Hindsight
Historical data explains what already happened. SPECTRA lets teams run simulations to test messaging, timing, targeting, and response options before deployment.
Our Solutions
Mission Focused Solutions
Bilbo helps teams test narratives, recruiting campaigns, and internal communications before they go live, so decisions are shaped by foresight, not hindsight.
Influence Operations
Test and refine narratives, counter-narratives, and response strategies before live deployment. SPECTRA helps teams evaluate how messages may spread, which communities may amplify them, and where trust may strengthen or erode.
Recruiting & Talent
Craft, test, and optimize recruiting messages that attract higher-quality candidates, improve campaign effectiveness, and help teams refine outreach strategies before deployment.
Personnel Retention
Design, test, and optimize internal messaging on morale, benefits, and mission alignment to improve engagement, reduce friction, and strengthen workforce retention before communications go live.
Our Process
How We Turn Real-World Signals into Predictive Cognitive Simulation
A secure, scalable process for building AI assistants.
Step 1
OSINT Grounding
Aggregate demographic, behavioral, psychographic, and media signals from open sources to ground the simulation in real-world populations.
Collect OSINT
Bio
Posts
Connections
Shares
Media
Step 2
Build the Digital Population
Build synthetic personas, audience segments, and influence networks that reflect real-world population dynamics.
Step 3
Simulate and Optimize
Run synthetic polling, scenario simulations, and agentic autopilot experiments to test messaging, narrative spread before deploying.
SPECTRA
MESSAGES
Step 4
Generate Recommendations
Produce decision-ready findings, signals, and clear recommendations on narrative strategy and response options.
Optimize the Message
Improve language and framing
Target Audience
Target the correct audience
Media Mix
Adjust the channels to expand reach
FAQs
Questions We Hear Most
Quick answers on how SPECTRA works, how it differs from generic AI tools, what data it uses, how privacy is protected, and how results are validated.
Is SPECTRA grounded in real data?
Have you validated this?
How does SPECTRA protect privacy?
How is SPECTRA different from using ChatGPT and saying “act like this person”?
Who is this built for?
Know. Then Launch.
Do not just deploy and hope. Start testing your messages against millions of simulated people before you go live.