Apply P34 to the decisions that determine your margins: which inventory to buy, which opportunities to refuse and how much capital to commit. HyperC combines economic modeling, simulation and operational telemetry to test those decisions against your costs, constraints and realized outcomes.
Start with a measurable decision and a shadow test. Enterprise connects the P34 model to your workflow, approval rules and operating feedback, then uses a capped pilot to test whether the advantage holds in practice.
New to P34? The computable markets catalogue is the overview — which markets are reference deployments, active experiments or blueprints, and the criteria each has to clear. Read it first; this page is the governed rollout for a market you already operate.
Purchase-order and shipping portfolios from live deal menus. Validated in production at a reseller operating at roughly $100M in annual sales.
Loan approvals, card limit increases, overdraft offers — where applicable and after market-specific compliance review. ~3,000 loans issued in a live model test.
GPU hours, electricity, freight capacity, construction materials — timing and allocation decisions where operations drive economic value.
Load acceptance, routing and bidding across candidate menus with per-lane economics and conversion feedback.
Customer onboarding offers and incentive portfolios scored on lifetime economics rather than conversion alone.
Manager underwriting, receivables, specialty insurance workflows — approved computable markets under separate review.
P34 is not positioned as an uncontrolled trading bot. Allocation increases only after evidence of calibration, downside control and operational reliability.
Every deployment ships with an explicit control envelope. The model's own discipline — no-trade as a first-class output, false-positive control — is wrapped in operational governance your risk team defines.
Async REST at api.hyperc.com/v1 — fit, poll, portfolio. JSON or Parquet on the wire; a pytest workflow for CI.
Menus and sales tapes from your ERP, marketplace, LMS or warehouse exports — the MSD data contract is deliberately minimal.
P34 primitives as tools for Claude, ChatGPT or your in-house agents — decisions stay model-grade while orchestration stays yours.
Approval queues, four-eyes sign-off and reconciliation hooks at every execution boundary you keep manual.
Amazon wholesale: thousands of signals ingested, purchase and shipping orders generated in production. Company-reported.
Controlled synthetic market with selection bias and regime change. In the easy stationary benchmark P34 preserved upside (+$228.6k vs +$227.1k). Methodology in the technical report.
The Computable Markets working paper defines the MSD data contract and an explicit falsification protocol. Bring your quant team.
Scope a shadow test on your own menus — telemetry review, market-fit assessment, success criteria and a capped pilot plan.
Start the conversation →Architecture, controls, data requirements and integration — with the team that built the model.
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