TradeOffShare the signal.
Retain the source.
Separate service users and private databases. The coordinator receives requests, priorities, and bounded acceptance feedback.
Enforced on the LinuxONE VMBUILT & VERIFIED ON LINUXONE
Find the balance.
Keep your edge.
When supply falls short, sharing everything shouldn’t be the price of working together. Reach an allocation with bounded negotiation, local AI, and private factory data.
Public demo · Recorded LinuxONE runs + working browser ML
A SHARED OUTCOMEAgreement reached
Supplier800 primary + 60 alternate
01APPROVED SIGNALS ONLY
FACTORY A560units
Local validation accepted
Private inputs stay here ⌑
FACTORY B300units
Local validation accepted
Private inputs stay here ⌑
BASELINE / ROUND 02Constraint checked ✓
2bounded solver rounds
5isolated service identities
2.04%baseline gap to full-information oracle
Local AIlearned delivery-risk predictions
COOPERATE WITHOUT OVERSHARING
One shortage.
Different business realities.
Factories know their own costs and tolerances. TradeOff coordinates the signals they approve, while each participant checks whether the outcome works locally.
Share the signal.
Turn disagreement
into constraints.
A rejected proposal becomes a minimum quantity for the next solve. Two rounds keep the negotiation legible and bounded.
Exact integer optimizationLearn locally.
Check every action.
A trained model prioritizes validation order. The controller and solver enforce rules; a hash-linked audit records the actions.
No external AI API requiredA NEGOTIATION YOU CAN FOLLOW
From conflict to a shared decision.
Propose
Optimize approved demand and priority signals against available supply.
Validate
Ask factories to evaluate the allocation using their private constraints.
Repair
Carry a rejected factory’s minimum quantity into the second solve.
Agree or stop
Finalize only when both accept. Infeasible scenarios stay unresolved.
REAL EXECUTION. VISIBLE LIMITS.
More than a polished screen.
Inspect the results, approved messages, model, and verification evidence. Every number below has a defined scope.
Compared with a $14,700 full-information optimum. The separate benchmark evaluator has privileged simulation access.
Inspect the allocation →Versus a 57.3% majority baseline across 34,554 held-out order lines. A real logistic regression model; illustrative transfer to manufacturing.
Try the learned model →A factory B identity attempting factory A’s endpoint was rejected. OS reads of private databases were also denied to peer services.
See the verification →Synthetic coordination benchmark. Restricted disclosure is not a formal privacy guarantee. Host administrators and the benchmark evaluator remain trusted. No hardware cryptography acceleration claim is made.
MAKE THE TRADEOFF VISIBLE
See what agreement costs.
Explore five scenarios, inspect the evidence, and try the model.