Free-form chat does not execute Metrc mutations. Action Queue owns the governed path.
Private infrastructure. Deterministic controls. Evidence-bound AI.
ErbaTech
Governed AI control planes for regulated enterprise workflows, private/local inference patterns, and human-approved operational execution.
ghostOS
Control Plane
01Intent
02Evidence
03Preflight
04Approval
05Writeback
Solutions
AI that can explain work without seizing authority from the operator.
Diagnostics evidence is selected before Analyst synthesis, reducing stale-context risk.
Generation routes through a local OpenAI-compatible endpoint with bounded claims.
Ready within the documented narrow cultivation pilot boundary, not unsupervised production.
Architecture
Model for language and synthesis. Code for tools, evidence, and write gates.
Aiden sits above enterprise systems of record as a governed operating layer.
It routes records into Diagnostics, projects selected evidence to Analyst and Specialist lanes, and keeps sensitive actions behind deterministic preflight and approval controls.
Operating intent
Evidence pull
Analyst review
Human approval
Confirmed writeback
Data Privacy & Compliance Notice: Screen telemetry and package data utilize synthetic figures from the official Metrc® Developer Sandbox environment to ensure total client privacy and regulatory compliance.
Resources
Partner Review Materials
These resources use bounded technical language for partner technical review.
They are suitable for Technology Partner Showcase resource links and architecture review, with production and hardware claims kept evidence-gated.
Aiden 4.0 Executive Brief Pack
Aiden is a governed enterprise control tower that connects operating intent, official records, human approval, and evidence. It is designed for high-value workflows where teams need AI-supported synthesis without giving the model uncontrolled operational authority.
Final Intel Forensic Review Packet
This packet separates validated architecture claims from measurement-gated hardware and production-security claims. It centers ghostOS orchestration, deterministic write gates, local inference boundaries, and the documented supervised-pilot posture.
CUDA-Independent Local Inference Architecture
ErbaTech has built and operated a CUDA-independent local inference architecture on Intel XPU hardware. Current low-level serving internals and production-grade performance claims remain measurement-gated.
Non-CUDA Multi-Accelerator Architecture
The multi-accelerator architecture reference describes the broader direction for modular local inference infrastructure while keeping implementation-specific performance, placement, and backend behavior tied to measured evidence.
Aiden Metrc Supervised Pilot Readiness
Aiden v4 Metrc is ready for a narrow supervised cultivation pilot where Metrc remains the compliance source of truth, Smartsheet remains the operating cockpit, and regulated writes move only through deterministic Action Queue controls.
Aiden v4 Metrc is 100% supervised-pilot ready within the documented narrow cultivation pilot boundary. Production Metrc API use still requires client authorization, facility scoping, named users, and phased endpoint approval.