The Trust Layer for the Autonomous Future
We are witnessing the Great Exit, where data and processing are physically moving out of the centralized safety of the data center and into the wild. Infrastructure is fragmenting into millions of distributed nodes: on street corners, in industrial hubs, and inside EV charging stations.
The Latency War: AI and real-time analytics can no longer afford the round-trip to a central server. To make split-second decisions, like authorizing a high-speed vehicle charge or processing edge analytics, the intelligence must live exactly where the data is born.
The Edge Paradox: While we need more power at the edge, these sites are physically hostile. We are operating in environments with strict power limits, minimal cooling, and high physical security risks.
We are the only solution optimizing for both real-time speed and cross-domain trust.
One secure, auditable system.
The orchestration layer deploys and manages workloads across distributed sites in real time.
The trust layer enforces verifiable identity, policy, and transaction integrity so every action is provably authorized.
The network layer connects edge nodes with resilient, low-latency routing that keeps data, compute, and payments flowing reliably at scale.
Strategy: Keep optimization off-chain for speed; put commitments on-chain for trust.
Parallel transaction processing allows for high concurrency. Faster confirmation than linear chains.
Critical logic runs in secure enclaves (Intel SGX/Arm TrustZone). Enclave Pooling reduces overhead.
Verify identity and permissions without exposing sensitive data. Selective disclosure for privacy.
Low Scheduling Latency (p95)
High Resource Utilization
Tamper-Evident Audit Completeness
Bridging the gap between the chaotic
Edge and the need for verifiable
Trust, unlocking a $380B market.
Secure task placement near machines.
IP protection (model parameters).
OT traffic isolation.
Multi-tenant Edge Al inference.
Verifiable isolation between tenants.
V2X safety services.
Privacy-preserving vehicle identity.
Low-latency scheduling.