SyzygySys builds sovereign autonomic infrastructure—Intelligence As Spec—so enterprises can define how their systems behave before deployment. We marry policy-defined guardrails with agentic execution, blending seasoned human judgment, self-aware services, and compliance diagnostics into a deterministic platform.

Agentic Collaboration Ecosystem (ACE) is the product: a sovereign AI operations layer built FOSS-first with swappable, standards-based components. ACE orchestrates and audits enterprise workflows through self-healing loops designed to scale without vendor lock-in. Investors gain recurring revenue leverage from regulated industries; engineers gain a programmable control plane that keeps intent, telemetry, and change synchronized.

Inside of ACE, LAP::CORE acts as the central control plane, coordinating the ecosystem through dynamic LAPI interfaces that bridge internal ACE components with external services and resources.

Every initiative starts with Intelligence As Spec—formal declarations that capture the designed healthy state before code is written. These specs anchor iterative design, develop, deploy cycles, empowering human+agentic multiplayer teams to engage at a deterministic cadence, controlled cost, and warp speed velocity.

ACE ships with HITL-gated autonomics. When risk climbs or epistemic confidence is below tolerance, the system pauses, routes context to the right owner, and waits for explicit approval before execution resumes.

Epistemic Humility Index (EHI): every reply from an agent carries a 0–1 EHI score where 0 means “certain” and 1 means “uncertain.” Team members blend policy weightings—source quality, sensor freshness, prior incident history, domain expertise, and consensus variance—to decide whether the EHI is acceptable. When the index exceeds the team’s tolerance, the workflow escalates to human review before changes land.

RAT (Reasoning Audit Trail) captures every decision path alongside the command stream, then cross-references it with runtime telemetry so auditors can trace intent, validate context, and replay only the steps that cleared policy filters.

ACE::LEDGER cryptographically co-signs those actions and rationales, sealing each artifact as an immutable, idempotent record bound to your retention schedule. The combination gives teams provable lineage for every change window plus the controls to rewind or selectively replay validated steps when remediation or compliance reviews demand it.