QBC is the pre-reasoning, cognitive A.I. that knows WHY people say what they say, believe what they believe, do what they do.
- Why Voters are Leaning Right/Left in the 2026 Midterms: T-Minus 30 Days
- Why Voters are Leaning Right/Left in the 2026 Midterms: T-Minus 60 Days
- Why the WSJ Got Pizza Wrong
- Why Movie-Goers Returned for The Odyssey
- Why The Billionaire’s Tax Wins the Polls and Loses the Election
- Why Anger is More Powerful than Truth
- Why Some People Will Pay $6000 for a Bottle of Screaming Eagle Cabernet
“People don’t think what they feel, don’t say what they think, don’t do what they say.”
QBC models the pre-reasoning dynamics that produce the words and behavior everyone else is measuring ex post facto. It’s a model/explanation of what drives people before they have words to explain it … what beliefs they’ll protect at any cost, what felt-truths are load-bearing, what taboos trigger an identity crisis, and what it actually takes to change the way they think and behave.
2026-27 DARPA ERIS Awardable Status
For the second consecutive year, QBC has received “Awardable” status from DARPA’s ERIS Marketplace — representing rigorous technical evaluation and competitive validation. This status allows government customers to expedite acquisition, bypassing lengthy traditional procurement phases.
What is QBC
Every QBC terrain is a map of the active “voices” inside a given market, electorate, population, set of stakeholders. Each voice is a structured, 23 point cognitive profile. Each terrain is analogous to a chemistry lab working with all 118 known elements in active relationship to each other, versus a lab working with an arbitrary set of 6, 8, 12 elements.
- U.S. Pizza Lovers
- Milwaukee Bucks Fans
- 17 US Midterm Swing Races
- MLB Players
- Screaming Eagle Cabernet Buyers
- US First Run Movie Goers
- Iran Population
- Minneapolis City-Wide Electorate
- Sonoma County Private School Parents
- U.S. Alcohol Consumers
- Laboratory Compliance Managers
- City of Baltimore Utility Customers
- U.S. National Registered Voters
- Global Digital-Agency Owners
- US Healthcare Market
- SaaS Migration to A.I.
- MLB Expansion Stakeholders
Be in real-time dialogue with any stakeholder terrain, any voice within it, any group, any time.
NOT SYNTHETIC, DEMOGRAPHICS-ANCHORED BOT PERSONAS.
The synthetic-persona method base-level that LLM’s (basis for Claude/Gemini/ChatGPT/DeepSeek, etc.) are built on begins with demographic categories such as age, gender, income, geography, occupation, etc. The models then make up and “fill in” biographical and psychological detail that fit those top-down labels. The resulting personas are nothing more than character sketches of what (for example) an LLM thinks that a 40 year old, female, $50K a year, Seattle Yoga Instructor might be like.
QBC reverses the direction. It begins beneath demographic and psychographic labels, with computational cognitive units we refer to as Quanti. It models how interactions among those units generate motivations, meanings, identity commitments, trust relationships, internal tensions, resistance, and change. Demographic and behavioral characteristics can then emerge within the modeled persona rather than predetermining that persona from above (instead of assuming a Seattle Yoga Instructor’s favorite food is Salmon or that she votes along expected political party lines).
Once a user has access to a QBC group terrain, they can interact with it, without it changing the basis for its own responses. Users can examine differences among its voices, inspect the modeled causes of a proposed messaging strategy or response, introduce new evidence, and compare predictions a QBC terrain makes about any group with observed outcomes. Unlike pure “black box” responses from A.I. models without a QBC layer, terrain-anchored QBC outputs can therefore be audited, challenged, updated, and progressively validated rather than accepted as an opaque AI answer.