BULX — the behavioral AI prediction network
BULX is a collective-intelligence engine. You bring a question and its context — a market move, a policy shift, a wildcard — and BULX runs it through a crowd of AI agents, sized from tens to thousands. Each agent reasons from its own personality, bias and incentives until the crowd settles on the most probable future.
Scenario simulations forecast events, virality, public sentiment and reactions to a speech, policy or launch. Market prediction synthesizes 1,024 behavioral agents into a confidence-banded 30-day price target with the story behind every number. The Investment Committee puts your trade in front of a multi-specialist board that interrogates it over three rounds and then votes, for stocks, options, ETFs, crypto and commodities.
The Agent Foundry lets you design your own agents — archetype, sector, appearance and reasoning style — and deploy them into simulations. The community network lets you publish simulations as presets, share characters and reuse other people’s market theses.
Frequently asked questions
What exactly is BULX?
BULX is a behavioral AI simulation platform. Instead of relying on price data or polls alone, it runs 1,024 agents - each modeling a distinct real-world cohort - to surface collective sentiment, risk, and prediction across any scenario you give it.
How does the behavioral simulation work?
Each agent is initialized with role-specific behavioral data: an engineer reasons differently to a displaced laborer, who thinks differently to an institutional investor. Feed it a scenario and the network processes it through all agents simultaneously, aggregating into a net sentiment score and directional forecast.
How accurate are the market predictions?
Every market forecast comes with a confidence band rather than a single number, plus the behavioral reasoning behind it, so you can see how sure the network is and why. Forecasts are probabilistic signals, not guarantees or financial advice.
Who are the 1,024 agents?
The agents span 16 distinct cohorts: engineers, scientists, investors, executives, laborers, educators, doctors, creatives, policymakers, researchers, finance professionals, legal, architects, public health, sociologists, and environmentalists - each with its own behavioral model and sentiment weighting.
What scenarios can I run?
Any scenario with an economic, social, or market dimension. Common use cases: AI workforce disruption modeling, interest rate impact forecasting, geopolitical risk stress-testing, regulatory change simulation, and consumer sentiment mapping. If you can describe it, the network can model it.
Is BULX available now?
Yes. BULX is open to everyone: create an account, top up with BUX (the in-app currency that powers every simulation), and run your first scenario in minutes.
How is this different from existing AI tools?
Most AI tools apply language models to data. BULX applies behavioral modeling to scenarios. The difference is causal depth: we do not predict what a chart looks like next - we model why human cohorts would behave in a way that produces that chart. The behavioral layer is the differentiator.