An operating kernel designed for regulated environments.
Evidence-first. Deterministic. Vendor-neutral.
Seven foundational pillars that ensure ARCNAT operates with deterministic proof, vendor neutrality, and long-term survivability.
The design decisions that make ARCNAT suitable for regulated environments.
Every decision produces proof. Every workflow step generates evidence. Every agent action is logged. Evidence is bundled automatically, sealed, and export-ready for audits, litigation, and regulatory defense.
Vendors are adapters. The kernel never changes. When you switch vendors, integrations, or AI models, your evidence, workflows, and data remain intact. The architecture survives vendor changes.
Reconstruct any outcome from the past. Given inputs, rules, approvals, and timestamps, ARCNAT can replay any workflow deterministically. Essential for audits, litigation, and proving correctness years later.
One data spine. One workflow truth. One evidence truth. No synchronization issues. No data conflicts. No ambiguity about what happened or why.
Proof-gated orchestration ensures AI autonomy is compatible with regulated environments.
Source of truth - LLM cannot be the calculator. All financial calculations use deterministic services.
Can block execution - cannot be bypassed. Policy enforcement happens before execution.
Automatically collected from event streams. No manual evidence gathering required.
Vendor-neutral, portable evidence. Switch AI models without losing evidence.
Each agent has a specific responsibility:
18+ LLM models supported:
Built for environments with zero tolerance for failure.
For detailed technical documentation, API references, database schemas, and implementation guides, see the complete architecture documentation.