P34 helps businesses and AI agents evaluate opportunities, make economic decisions, and execute workflows across computable markets and industries.
For entrepreneurs, startups and enterprises building the next generation of autonomous business.
Turn your AI agent into a business operator. Membership gives individuals, hustlers and small teams access to P34 decisions, supported markets, compute and a community that ships.
Explore Membership → For enterprisesPut a governed decision layer between your telemetry and your executable actions — with portfolio caps, audit logs, kill switches and a staged rollout path.
Explore Enterprise →Large language models reason in words. P34 is different infrastructure: a decision model that works directly with money. It takes the set of actions your business could take right now — a business menu — scores each one economically, refuses the weak ones, sizes the strong ones, and returns an executable portfolio.
Every candidate action is evaluated as an economic decision problem — contribution margin, cash use, risk, uncertainty — not as a text-prediction task.
Doing nothing is a valid output. P34 treats “no-trade” as a first-class, rewarded decision — the discipline most models trained only on accepted deals never learn.
Outputs are not advice. They are sized, constraint-checked actions ready for approval by a human, an agent — or, within limits you set, direct execution.
The future is not AI giving business advice. It is AI doing business.
One loop: evaluate opportunities → reject weak ones → size actions → execute with controls.
The decision loop does not change as you grow. What changes is the market, the ticket size, the controls and the sign-off.
Connect your AI agent to P34, pick a supported market, and run capped decision loops with your own capital and your own approval on every action.
Improve buying, pricing and allocation decisions without adding headcount. Same loop — bigger menus, standing constraints, weekly review.
Deploy P34 across business units with menu grounding, shadow testing, limited pilots and scaled rollout under full governance.
We distinguish live production results from controlled synthetic benchmarks — and we publish the methodology behind both.
Company-reported, cumulative, Amazon wholesale deployment. Note: not audited by a human licensed auditor.
P34 ingested thousands of signals and generated purchase and shipping orders in production.
Micro-credit vertical, live model test with realized repayment outcomes.
Synthetic stress-test benchmarks are reported separately with methodology on the Research & Evidence page. Historical results do not guarantee future outcomes.
A market is computable when actions can be enumerated, outcomes can be attributed, constraints can be encoded, and feedback repeats. We support markets deliberately, not speculatively.
US & EU. Purchase and shipping portfolios from live deal menus. The launch market.
Individual loan decisioning with disciplined rejection — validated in a ~3,000-loan live test.
Limit increases, overdraft and micro-loan offers as portfolio decisions.
Calibrated onboarding offers scored on lifetime economics, not conversion alone.
CLO and fund-manager selection as a menu decision under partial observability.
Load acceptance and routing with per-lane economics.
Domain drops, vinyl, retro games, TCG — small tickets, dense public telemetry.
Separate product and regulatory perimeter. Not a trading signal service.
The system moves from recommendation to execution only within user-defined limits and rollout stages.
P34 scores and ranks your menu. You read, decide and act. Full human control.
Your agent prepares sized, constraint-checked actions. A human approves each one.
Approved action classes execute automatically under caps, drawdown limits and review thresholds.
End-to-end operation within a governed envelope — audit logs, drift monitoring, kill switches. Roadmap, not a current promise.
Membership is access: supported computable markets starting with Amazon wholesale (US & EU), model and compute credits, API docs and agent skills, sandbox and simulator, model-generated opportunities under published acceptance criteria — and a community of operators.
# your agent, any framework menu = p34.discover(market="amazon-wholesale-us") scored = p34.score(menu, context=my_business) # most opportunities get rejected — that's the point portfolio = p34.select(scored, budget="$5,000", risk="conservative") p34.prepare(portfolio) # you approve, then execute
A governed rollout, not a leap of faith: menu grounding → context training → shadow testing → limited pilot → scale with controls. Integration through APIs, data connectors, your agent framework and human approval points.
When good economic decisions become cheap, the economy wastes less and allocates better — and the leverage that used to require a trading desk or a corporate development team becomes available to anyone with an agent and $200. That is the abundance thesis behind P34: not AI that talks about business, but infrastructure that does it.