In high-consequence settings, weak authorization and fragmented evidence create compliance, safety, and trust failures.
Platform Thesis
Intelligence can advise. Governance decides.
SeedCore is built for the trust boundary where AI-visible actions become either denied requests or explicitly authorized operations under deterministic policy.
Every consequential request is validated against identity, scope, policy, custody context, and risk posture before execution.
High-value outcomes are captured as replayable, cryptographically anchored evidence that withstands external scrutiny.
Core Runtime
Three-layer architecture plus verification closure.
SeedCore separates intelligence, control, and reality while preserving policy sovereignty and proof integrity.
Humans and AI agents propose actions. They build candidate graphs, evaluate trade logistics, or request state changes, but hold zero authority to directly execute.
The core trust slice. Evaluates actions against policies, verifies actor delegation chains, and decides whether a transition becomes admissible digital truth.
Actuator endpoints, robotics controllers, and settlement ledgers execute authorized commands and emit telemetry. Trusted-edge target profiles add TPM 2.0 or KMS-backed signatures.
Control Stack
Delegation, intent, execution authority, verification, and replay.
This flow turns AI-visible behavior into governable operational action.
Delegation and Identity
[Active RCT Runtime] Operator and administrative ingress uses Google IAP. [Target] Programmatic APIs move toward workload-level SPIFFE/SPIRE identities and DPoP tokens.
Intent Object
[Active RCT Runtime] Each action explicitly declares target, purpose, and context. [Target Sidecar] Logistics backends (cuOpt) act as advisory sidecars only, never as a source of authority.
Deterministic Decision
[Active RCT Runtime] Checks policy synchronously against bounded context. [Target Graphs] In-memory Decision Graph processing remains the target hot-path shape, with offline Enrichment Graphs for metadata and explanation.
ExecutionToken & Edge Profiles
[Active RCT Runtime] Mints short-lived execution authority. Jetson-class nodes serve prototype validation lanes. [Target Edge] Production trusted-edge profiles target NVIDIA IGX Thor / T5000-class deployments.
Verification, Replay & Cache
[Active Preview] Replay contracts can carry freshness markers plus prior_state_binding, result_state_binding, and causal_parent_refs. [Target Scale] Dragonfly client-side caching is a target acceleration layer.
Current Wedge
Start with Restricted Custody Transfer and verification-first proof.
SeedCore's first wedge is a custody-sensitive multi-party workflow where trust must be enforced at runtime, not reconstructed after the fact.
Actions are authorized only when current actor, device, asset, and context satisfy policy at decision time.
Dual approvals, delegated authority chains, verifier-backed failure, and break-glass handling become first-class flows.
Partners and auditors can inspect the same signed receipts and replay sequence used internally.
2026 Working Plan
Ship one convincing trust story before broadening the platform.
The next stage focuses on productizing irrefutable governed execution through four practical phases.
Prove one happy path, one toxic path, one replayable audit chain, and one clear business claim.
Discuss the demo thesisAlign verification API, replay/detail views, proof artifacts, and operator console around the same audit-backed truth.
Discuss verification surfacesStabilize the shadow hot path, verifier lockout behavior, degraded-edge drills, and deployment-realistic checks.
Discuss runtime readinessExpose only the smallest safe read surface until topology and verification protocols are consistently green.
Discuss external surfaces