Commerce Compute Economics
Cost, latency, energy and reliability of AI inference as an economic input.
Research Area 13
Frontier Compute,
Security & Privacy
Researching the compute, connectivity, cryptography and privacy foundations required for secure and resilient intelligent commerce.
Economic AI depends on compute, networks, identity and cryptography that vary in cost, latency, sovereignty and reliability. Some commercial evidence must remain trustworthy for years or decades.
Infrastructure for intelligent commerce
Compute decisions are economic decisions.
Where intelligence runs—local, edge, regional or cloud—has real economic consequences. We study the trade-offs across cost, latency, energy, reliability, sovereignty and consequence.
Key economic factors
CostTotal cost of ownership
LatencyTime to insight and action
EnergyPower and environmental impact
ReliabilityAvailability and resilience
ConsequenceImpact of failure or compromise
Public research programs
Five public research programs.
Trusted Economic Compute
Secure execution, attestation and hardware-assisted trust for consequential commerce.
Connectivity & Offline Commerce
Commercial operation across low-bandwidth, intermittent, remote and disconnected environments.
Post-Quantum & Crypto Agility
Migration paths for long-lived identities, signatures, devices and evidence.
Privacy-Preserving Commerce
Selective disclosure, federated computation and other methods for reducing unnecessary data exposure.
Resilient systems for a longer horizon
Trust must survive changing infrastructure.
The infrastructure under intelligent commerce must survive changing cryptographic standards, intermittent connectivity and diverse jurisdictional requirements.
Explore our approachConnectivity & offline commerce
Commerce should degrade safely when networks do.
Research in low-bandwidth, intermittent, remote and disconnected environments asks what can continue locally, what evidence should be queued, and how commercial state should reconcile when connectivity returns.
Connected
Full network context
Edge mode
Local inference
Offline authority
Bounded permissions
Queued evidence
Preserve provenance
Reconcile
Merge state safely
Privacy-preserving commerce
Prove what is needed. Reveal no more than necessary.
Selective disclosure, federated computation and related approaches can reduce unnecessary data exposure while preserving useful evidence and accountability.
Full company financial record
Proof: liquidity threshold satisfied
Complete identity document
Proof: authorized representative
Sensitive production telemetry
Proof: production milestone reached
Key research questions
Questions we are exploring.
How should systems choose between local, edge and cloud intelligence based on consequence and cost?
How can commercial evidence remain verifiable through cryptographic transitions?
What can be proven without revealing unnecessary private data?
Public research boundary
Open research, responsible innovation.
Security principles and public standards can be discussed openly. Sensitive architecture, key-management design, threat-detection logic and protected hardware details remain confidential.
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