Conscious AI Systems

Human-centric AI systems: reliable, transparent, and ready for production.

🚀 What We Deliver

AI DevOps Pipelines → CI/CD + MLOps workflows to take AI from notebook to production.
Retrieval-Augmented Generation (RAG) Systems → context-aware assistants for knowledge-intensive teams.
Smart-Space & IoT Blueprints → future-ready designs for connected, sustainable environments.
Data, Backup & Observability Frameworks → enterprise patterns for reliability, security, and insight.
Zero-Trust Networking → modern firewall & segmentation patterns for secure labs and enterprises.

We package our work into modular repos that can be deployed, extended, or adapted to your needs:

home-lab-architecture → Reference architecture & Infrastructure-as-Code for modular labs and enterprises.
fire-dept-rag → RAG-powered assistant for first responders, knowledge bases, and training.
ai-devops-toolkit → End-to-end DevOps/MLOps stack for AI model lifecycle management.
opnsense-blueprints → Zero-Trust firewall, VLAN segmentation, and remote access patterns.
synology-backup-ops → Synology ABB + 3-2-1 backup & disaster recovery templates.

Each repo is structured to be production-ready with:

We maintain reference labs to demonstrate solutions in real contexts:

Kingston Home Lab → a modular, production-grade reference environment with VLANs, NAS, firewalls, and AI nodes.
Fire Dept PoC → fire-dept-rag + FireMint node, supporting offline/edge knowledge bases for first responders.
Smart-Space Prototypes → IoT & AI-driven layouts for property and co-living environments.

These labs act as blueprints for both personal experimentation and enterprise consulting.

Want to try it yourself?

👉 Start with home-lab-architecture to see the full picture.

We work with teams as:

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Banner tagline →
“Human-centric AI systems: reliable, transparent, and ready for production.”
Consistent badges → Build | Release | License