https://codeatoms.ai/2026-10-06T00:00:00Z https://codeatoms.ai/farm-data-dashboard-pakistan/2026-10-06T00:00:00Z

An open reference architecture for an ontology-anchored, open-source agriculture data dashboard for an agriculture and earth observation operator in Pakistan: site sensor feeds, historical datasets and a big data and analytics repository joined into a twelve-object model in PostgreSQL with PostGIS on the operator's own servers, handed over with source code and full intellectual property.

https://codeatoms.ai/restricted-crop-monitoring-saudi-arabia/2026-10-06T00:00:00Z

An open reference architecture for an 18-month sovereign earth observation service that screens every parcel for restricted green fodder and unlicensed cultivation for an agriculture and earth observation operator in Saudi Arabia: eight source systems, a fourteen-object ontology, and two open-weight models on one 48 GB inference node inside the Kingdom, with every case verified by a named inspector.

https://codeatoms.ai/vegetation-mapping-lidar-us/2026-10-06T00:00:00Z

An open reference architecture for a one-flight acquisition of 3-inch 4-band orthoimagery and USGS Quality Level 1 LiDAR over the site of an agriculture and earth observation operator in the United States, with every deliverable bound into a sixteen-object site ontology the operator's staff analyze in their own GIS.

https://codeatoms.ai/ot-security-cip-evidence-us/2026-10-05T00:00:00Z

An open reference architecture for operational technology security monitoring and NERC CIP evidence at an energy and utilities operator in the United States: ten source systems read one way out of the control networks into a fourteen-object ontology, with a frontier model and an embedding model on the operator's own hardware.

https://codeatoms.ai/plant-reliability-assessment-saudi-arabia/2026-10-05T00:00:00Z

An open reference architecture for a records-based reliability and availability assessment across the desalination and treatment plants of an energy and utilities operator in Saudi Arabia: three record sources joined into a thirteen-object reliability model the operator owns, auditable to ISO 55000, with no model to serve and no hardware to buy.

https://codeatoms.ai/tank-gauge-integrity-pakistan/2026-10-05T00:00:00Z

An open reference architecture that restores continuous, undistorted radar tank gauge readings from thirteen fuel tanks at an oil and gas operator in Pakistan: three booster installations engineered from a signal survey on three Modbus loops, and a governed fifteen-object inventory ontology on the operator's own server that detects distortion and swapping.

https://codeatoms.ai/factory-fire-monitoring-saudi-arabia/2026-10-04T00:00:00Z

An open reference architecture for read-only fire protection monitoring across high-risk factories in industrial cities in Saudi Arabia: fire alarm panels, fire pumps, fire water tanks and energy meters read through LoRaWAN and contacts into an IoT platform hosted in Saudi Arabia, a fourteen-object ontology, a CPU-only forecaster, and never a write path into life-safety equipment.

https://codeatoms.ai/ontology-method/2026-10-04T00:00:00Z

How a Praxis design's object model is packaged as hyper-ontology/1, what seven published packages contain, how to load and convert them, and how Hyper Ontology stands a package up as a living system over an operator's own systems of record.

https://codeatoms.ai/port-digital-twin-us/2026-10-04T00:00:00Z

An open reference architecture for a port-owned digital twin at a landlord port authority in the United States: eight operational systems, five live sensor feeds and one finance backbone bound into a thirteen-object ontology on the port's own virtual machines inside the continental United States, with one self-hosted embedding model and no equipment to buy.

https://codeatoms.ai/praxis-method/2026-10-04T00:00:00Z

The method behind the Vertical-Driven Architectures series: how Praxis turns an operator's requirement into a complete physical AI system design through eight reasoning lenses, and what seven published designs show about it.

https://codeatoms.ai/steel-production-count-pakistan/2026-10-04T00:00:00Z

An open reference architecture for independent production counting at steel melting and re-rolling mills in Pakistan: cameras and GPU industrial PCs at every installation point count billets, ingots, rebars and girders, publish into one operator-owned record, and let revenue officers reconcile counted against declared production, with a fourteen-object ontology, a frontier model behind an export licence checkpoint, and a three-year cost comparison.

https://codeatoms.ai/structure-phase-construction-saudi-arabia/2026-10-04T00:00:00Z

An open reference architecture for forecasting schedule slips three days out and seeing crane, delivery and safety evidence live on a construction site in Saudi Arabia: twelve source systems, a fifteen-object ontology, solar powered edge vision, a frontier model on hardware inside the Kingdom, and a three-year cost comparison against cloud.

https://codeatoms.ai/sovereign-hse-pakistan/2026-10-03T00:00:00Z

An open reference architecture for a sovereign, air-gapped HSE platform for an oil and gas operator in Pakistan: eight source systems, a twelve-object ontology, six self-hosted open-weight models on one GPU node, and a three-year cost comparison against cloud.

https://codeatoms.ai/truck-turn-container-terminal-us/2026-10-03T00:00:00Z

An open reference architecture for predicting truck turn time two hours out and seeing yard congestion live at a container terminal in the United States: eleven source systems, a twelve-object ontology, edge vision at the yard and gate, a frontier model on the operator's own hardware, and a three-year cost comparison against cloud.

https://codeatoms.ai/wildfire-risk-distribution-us/2026-10-03T00:00:00Z

An open reference architecture for live wildfire ignition and outage risk at an electric distribution cooperative in the United States: twelve source systems, a fourteen-object ontology, self-hosted open-weight models on the cooperative's own hardware, every de-energisation approved by a named operator, and a three-year cost comparison against cloud.