Aware

Aware Technology

The technology behind Aware

Aware combines structured government-action data with approved company context, traceable causal reasoning, constraint-aware option comparison, and human-controlled execution.

  1. INPUTS

    Evidence + company context

    Government records, dates, entities, approved company facts, constraints, and missing information.

  2. REASONING

    Causal map + option testing

    Trace consequences, quantify business effect, preserve assumptions, and test responses against real constraints.

  3. OUTPUT

    The Next Move

    A ranked response with evidence, timing, ownership, open questions, and human authority.

Provenance runs under the whole chain

Company-specific reasoning

The same government action does not mean the same thing to every company

Exposure Mapr-magnet-bis-01

Value chain · what this action touches

Highlighted entities are the ones a consequence reaches, coloured by the order that reaches them first.

Inputs & Suppliers

  • Nd-Pr sintered magnets
  • Magnet route JP-02
  • Rotor laminations
  • Power electronics

Manufacturing & Operations

  • Plant 2 — drive-unit assembly
  • Traction-motor line
  • Plant 4 — inverter
  • Qualification & PPAP

Customers & Markets

  • Programme A — EV drive unit
  • Programme B — commercial
  • Aftermarket
  1. Government action. Licence requirement extended to Nd-Pr sintered magnets and precursor alloysBIS / U.S. Dept of Commerce · 91 FR 48213
  2. 1st order · Direct. Magnet allocation to Plant 2 falls 38%1,180 t/yr contracted → 732 t/yr licensedOwned by Supply Chain
  3. 1st order · Direct. Landed cost on the remaining qualified route +14%+$1.40/kg on 732 tOwned by Sourcing
  4. 2nd order · Ripple. Traction-motor line loses 11 days of capacity732 t supports 89 of 100 build daysOwned by Operations
  5. 2nd order · Ripple. Two customer programmes move to allocation delivery41% of drive-unit volume moves to allocationOwned by Sales
  6. 3rd order · Systemic. ~$41M of FY revenue at risk11 days × $3.7M/day of drive-unit revenueOwned by Finance
  7. 3rd order · Systemic. Segment operating margin −60 bpsSame fixed base over 89 days instead of 100Owned by Finance

The path the recommended move acts onConsequences it does not address

The gold path is what the recommendation acts on: B · Qualify the Japanese secondary magnet route. It closes the allocation gap and the 11-day capacity loss behind it. The two grey branches — landed cost and the margin effect — it does not touch, and that is the argument worth having.

Illustrative worked example. Route identities are coded and quantities are modelled from public data — at pilot both are replaced by your own systems.

Private company model

Context from the business

Suppliers, materials, products, facilities, contracts, inventory, capacity, customers, markets, revenue streams, plans, and owners.

Causal reasoning

Trace how the consequence moves

  1. Export restriction
  2. material constrained
  3. production reduced
  4. customer orders delayed
  5. revenue and margin affected

Provenance, sources & data control

Know what the system knows, where it came from, and what remains uncertain

Aware keeps external evidence, company facts, assumptions, modeled consequences, options, and recommendations distinguishable and traceable.

Covers 01–02

Official and authoritative records

Government actions stay connected to issuer, jurisdiction, dates, and source evidence.

Covers 03

Customer-controlled context

Signals requires no customer data. Private context is introduced only when approved and useful.

Covers 04–06

Explainable outputs

Material conclusions preserve the inputs, assumptions, method, and evidence used to produce them.

  • CONFIRMED
  • INFERRED
  • ASSUMED
  • MISSING
  • AWAITING CONFIRMATION

Decision engine + human authority

A recommendation has to survive reality

Aware compares options against timing, budget, capacity, contracts, legal requirements, qualification, technical constraints, and available resources. Consequential decisions remain human-controlled.

Response paths tested against the constraints that decide feasibility
Response pathTimingBudgetCapacityContractsLegalQualificationTradeoff
Option AClearsBlockedTightClearsClearsBlockedFast, but the budget and qualification gates do not clear.
Option BBlockedClearsClearsTightClearsTightAffordable, but it misses the decision window.
Option CTightClearsClearsClearsClearsTightTwo constraints stay tight; every hard gate clears.

Recommended Next Move

The only path that clears every hard constraint. Its tradeoffs stay on the record.

HUMAN APPROVAL REQUIREDConsequential decisions remain human-controlled.

Enterprise technology

The advanced layer adds predictive strategy

  1. 01Government-action prediction
  2. 02Competitor context
  3. 03Competitor-response prediction
  4. 04Adversarial strategy simulation
Your move against each competitor response
Response 1Response 2Response 3
Move AEvenWeakerWeaker
Move BStrongerEvenWeaker
Move CStrongestStrongerEven

Gold marks the strongest position available across the simulated moves and responses.

See how Aware turns evidence into the Next Move

Explore Platform for the standard decision workflow or Enterprise for the predictive strategic layer.