Free-form chat does not execute system-of-record 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.
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 pilot process boundaries, 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.
Data Privacy & Compliance Notice: Screen telemetry and package data utilize synthetic regulated supply chain and compliance sandbox figures 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 Technical 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 Regulated Supply Chain Pilot Readiness
Aiden v4 is ready for a narrow supervised regulated supply chain pilot where the system of record remains the compliance source of truth, the operating cockpit remains supervised, and regulated writes move only through deterministic Action Queue controls.
Aiden v4 is 100% supervised-pilot ready within the documented narrow regulated supply chain boundary.
Production system-of-record API use still requires client authorization, facility scoping, named users, and phased endpoint approval.
Technical Evaluation and Legal Disclaimer
Purpose and Proprietary Rights
Technical papers, architecture briefs, review packets, and solution materials published on this domain are proprietary ErbaTech materials made available for partner review, technical evaluation, and enterprise architecture assessment. Access does not grant a license to reproduce, modify, reverse engineer, or redistribute ErbaTech software or materials without prior written consent.
Performance and Telemetry
Performance values, latency figures, and telemetry are environment-specific and may vary by host configuration, driver build, workload, memory allocation, network path, and concurrency. Hardware internals and production-grade benchmarks should be treated as measured only when the supporting evidence is explicitly provided.
Scope and Specifications
Descriptions of Aiden, GhostOS®, and related control-plane functionality describe current architecture and supervised-pilot capabilities. They do not constitute a commercial warranty, service level agreement, legal advice, compliance certification, or unsupervised production authorization.
Third-party Marks
Third-party trademarks and product names, including Intel, Intel Partner Alliance, Intel Data Center GPU Max, PyTorch, Ray, Smartsheet, and SAP, belong to their respective owners. References are for technical context and compatibility description only and do not imply endorsement or sponsorship unless established by formal agreement.
Partner Access
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Request access to bare-metal benchmark telemetry, architecture white papers, or structured pilot onboarding.