الصناعة: الأنظمة والتقنيات

Industry: plants and ports sensed and connected: the systems behind it. The loop, step by step: 1. A valley site at first light. 2. Sensor, link, edge and console stand ready. 3. Cloud and wind sweep up the valley. 4. The station and the vault register it. 5. Each reading is stamped with time and place. 6. Signed packets hop over the radio link. 7. Relays carry the packets without reading them. 8. The edge verifies every signature first. 9. The edge model checks it against its limit. 10. Only a confirmed result leaves the edge. 11. The alert reaches the operator console. 12. The console shows the evidence with the alert. 13. The whole chain is archived for audit. 14. Everything settles back to idle.

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A valley site at first light

Nexus Observatory

Industry

Systems and technologies

The systems behind industry.

The technologies that carry this industry’s observations, ranked against what it needs to observe and drawn from across the spectrum.

Plan a deployment Use cases Open the explainer

Industry · Systems and technologies
Plants and ports, sensed and connected
Private wireless and edge inference on the plant floor, fenceline and emissions monitoring, rugged hardware for harsh sites, and operational-technology assurance for the observing systems inside the fence. Needs: emissions at the fenceline, process environment, coverage across the site, inference close to the line and security of operational technology.
Platform · Connectivity
Private 5G, AI-RAN and orbit, on site
Standalone private 5G and O-RAN, AI-RAN on shared accelerated compute, LEO and GEO backhaul and 3GPP direct-to-device, LPWAN and mesh for sensors over kilometres, PTP timing inside the budget, and the spectrum route for each country. Every reading and every change leaves a record that can be checked later.
Connectivity
Platform · Field services
Survey to decommission, one accountable crew
Ground, RF and power surveyed before anything is chosen, installation and commissioning to the plan, a Managed Site run for you, support by plan, training on your own site, and decommissioning with every part recorded. Changes are versioned, tested and reversible.
Field services
Platform · Edge compute & AI
Inference beside the instrument
A modular edge data centre at the foot of the tower, multi-access edge computing one hop from the radio, inference on the live stream, scientific models run where the data lands, and physical AI for drones and robots, inside published red lines.
Edge compute & AI
Platform · Software
One runtime. Every node. Every state
An edge runtime and node agent that enrol, attest and update each node; fleet operations that show every node with its state, its plan and its evidence; field apps for survey and commissioning; and the NXS Observatory app, where a team models the site before a bolt is turned.
Software
Platform · Sensors & instruments
Measurements that carry their own proof
Weather and environment stations to WMO practice, RF spectrum sensing in the band, and calibration that is traceable, recorded and repeated. Every value leaves with its metadata, quality flag and provenance. Or buy the observations and leave the hardware to us: Sensing as a Service.
Sensors & instruments
Platform · Data & licensing
Grid data, licensed for your use
Research, commercial API, enterprise and government tiers, the licence of every source carried through to every product, routes from licensed to open release, and residency fixed by contract. It is delivered and supported by Nexus Observatory Inc. The evidence travels with the data wherever it goes.
Data & licensing
Platform · Hardware & power
Built for the site, not the lab
Every reading and every change leaves a record that can be checked later. The same design repeats from the first site to the last. It runs on the open Observatory Protocol, so other providers can join. Crews, software and records stay the same as the network grows.
Hardware & power
How it scales
One base unit, repeated
A programme starts with one base node and the instruments it reads. A station adds power and radio, a site adds a relay, a fleet repeats the proven site across many places, and a network federates fleets through edge and core. Capacity grows by adding units, never by replacing what works.
Updates
Updates in rings, with rollback
Software and configuration reach the fleet in rings: a canary site first, then a few, then all, each ring gated on health and data completeness. A failed gate stops the wave and returns each node to its last good release, without a site visit.
Field service
One crew, from survey to repair
The same crew surveys, installs, commissions, calibrates and repairs, working from the site’s own record. Each visit updates it, so the next crew knows exactly what is there, when it was last checked and why it was changed. Spares and references are planned from that history.
What you get
Private Wireless as a Service
Standalone private 5G or LTE for a site, campus, port or mine: radios, core, SIMs, spectrum route and operations. Delivered as managed service and hardware + software, for industrial operators, ports, campuses, venues, public safety. Scale: Per site; fleets of sites.
Talk to sales
Next step
Plan an industry deployment
Tell us the sites, the measurements and the people who will use them. We reply with a design and a scope for industry. An engineer replies with a survey proposal and a scope, and the plan grows from one site to the network you need, at your pace.
Plan a deployment Open the Studio Read the stories

015G and 6G radio access networks

Private networks and RAN sharing.

5G and 6G radio access networks · Private networks and RAN sharing

Standalone non-public networks (SNPN)

Fully separate private 5G networks with their own identifiers, core and subscriptions.

3GPP TS 23.501 clause 5.30.2

5G and 6G radio access networks · Private networks and RAN sharing

Public network integrated NPN (PNI-NPN)

Private networks delivered as slices or DNNs of a public network, with closed access groups.

3GPP TS 23.501 clause 5.30.3

5G and 6G radio access networks · Private networks and RAN sharing

Neutral host networks

One shared network that serves several operators’ subscribers in buildings, campuses or rural corridors.

3GPP TS 23.251 (network sharing) · 3GPP TS 23.501 (SNPN with credentials from a separate entity)

5G and 6G radio access networks · Private networks and RAN sharing

RAN sharing (MORAN and MOCN)

Operators sharing radios and sometimes spectrum to cut cost in low-density areas.

3GPP TS 23.251 · 3GPP TS 32.130 (network sharing management)

5G and 6G radio access networks · Private networks and RAN sharing

Industrial 5G LAN and TSN integration

Layer-2 group services and time-sensitive networking bridging for operational technology.

3GPP TS 23.501 clauses 5.27 and 5.29 · 3GPP TS 22.104

5G and 6G radio access networks · Private networks and RAN sharing

Shared and local spectrum for private networks

CBRS-type tiered access and local licences that let enterprises and communities run their own networks.

FCC 47 CFR Part 96 (CBRS) · ISED non-competitive local licensing framework (3900–3980 MHz)

All 7 in this layer

02AI systems

Edge inference, model serving and optimisation.

Frontier · AI systems · Edge inference, model serving and optimisation

Split and collaborative inference

Dividing a model between device, edge and cloud to balance latency, bandwidth and privacy.

3GPP TR 22.874 (AI/ML model transfer in 5GS) · 3GPP TR 23.700-80

AI systems · Edge inference, model serving and optimisation

Embedded and on-device inference

Small models on microcontrollers and sensor boards that classify or detect without sending raw data.

MLPerf Tiny · ONNX specification

AI systems · Edge inference, model serving and optimisation

Edge server inference

Vision, language and sensor models served from far and near edge servers at bounded latency.

MLPerf Inference: Edge · ONNX specification

AI systems · Edge inference, model serving and optimisation

Quantisation

INT8, INT4, FP8 and block-scaled formats that cut memory and power with measured accuracy loss.

OCP Microscaling Formats (MX) Specification v1.0 · IEEE 754-2019 (floating-point arithmetic)

AI systems · Edge inference, model serving and optimisation

Distillation, pruning and sparsity

Training smaller student models and removing redundant weights so models fit edge hardware.

ISO/IEC 23053 (framework for AI systems using ML)

AI systems · Edge inference, model serving and optimisation

Compilers and runtimes

Graph compilers and portable model formats that target many accelerator types from one model.

ONNX specification · MLIR (LLVM project)

All 10 in this layer

03In situ sensors and instruments

Calibration, metadata and quality control.

In situ sensors and instruments · Calibration, metadata and quality control

Calibration laboratories and traceability

Calibrations tied to SI standards through accredited laboratories with stated uncertainty.

ISO/IEC 17025:2017 · CIPM MRA (BIPM)

In situ sensors and instruments · Calibration, metadata and quality control

Measurement uncertainty

Uncertainty budgets that travel with every reading.

JCGM 100:2008 (GUM) · JCGM 200:2012 (VIM)

In situ sensors and instruments · Calibration, metadata and quality control

Field calibration and intercomparison

Travelling standards, field checks and intercomparisons between instruments.

WMO Regional Instrument Centres · WMO instrument intercomparisons

In situ sensors and instruments · Calibration, metadata and quality control

WIGOS metadata

Station and instrument metadata to the WMO standard so others can interpret observations.

WMO-No. 1192 (WIGOS Metadata Standard) · WMO-No. 1160 (Manual on WIGOS, station identifiers) · OSCAR/Surface

In situ sensors and instruments · Calibration, metadata and quality control

Sensor and procedure descriptions

Machine-readable descriptions of sensors, processes and sampling.

OGC SensorML 2.1 · ISO 19156:2023 · W3C/OGC SOSA/SSN

In situ sensors and instruments · Calibration, metadata and quality control

Automated quality control

Range, rate, flat-line, spike and neighbour tests with flags on every value.

IOOS QARTOD manuals · WMO WIGOS Data Quality Monitoring System (WDQMS)

All 7 in this layer

04Ground segment

Ground-station-as-a-service and antenna networks.

Ground segment · Ground-station-as-a-service and antenna networks

Shared antenna networks

Pay-per-pass access to antennas across many sites so missions do not have to build their own.

CCSDS 910.4-B (cross support reference model) · CCSDS 911.1-B (SLE return all frames)

Ground segment · Ground-station-as-a-service and antenna networks

Space link extension services

Standard services that deliver frames and accept commands between a ground station and a remote mission centre.

CCSDS 911.1-B (RAF) · CCSDS 911.2-B (RCF) · CCSDS 912.1-B (forward CLTU)

Ground segment · Ground-station-as-a-service and antenna networks

Pass scheduling and resource management

Booking, deconfliction and configuration of antennas and modems for each contact.

CCSDS cross support service management

Ground segment · Ground-station-as-a-service and antenna networks

High-latitude and polar ground sites

Northern sites that see polar-orbiting satellites on most orbits and cut data latency.

ITU RR Appendix 7 · Rec. ITU-R P.618

Ground segment · Ground-station-as-a-service and antenna networks

Ground segment cybersecurity

Access control, segmentation, monitoring and recovery for command and control systems.

NIST IR 8401 (satellite ground segment and the Cybersecurity Framework) · ISO/IEC 27001

Ground segment · Ground-station-as-a-service and antenna networks

Federated and hybrid ground networks

Combining owned, partner and agency antennas behind one scheduling and data interface.

CCSDS 910.4-B (cross support reference model)

All 7 in this layer

05Spectrum, timing and PNT

Spectrum monitoring and interference management.

Frontier · Spectrum, timing and PNT · Spectrum monitoring and interference management

Distributed low-cost SDR sensor networks

Many inexpensive receivers at sites forming a continuous spectrum picture.

Rec. ITU-R SM.1880 · ITU Handbook on Spectrum Monitoring

Frontier · Spectrum, timing and PNT · Spectrum monitoring and interference management

Machine-learning signal classification

Models that recognise signal types and anomalies in monitoring data.

ITU Handbook on Spectrum Monitoring

Spectrum, timing and PNT · Spectrum monitoring and interference management

Fixed, transportable and mobile monitoring stations

Calibrated receivers and antennas that measure what is actually on air around a site or region.

ITU Handbook on Spectrum Monitoring · Rec. ITU-R SM.1880 (spectrum occupancy measurement)

Spectrum, timing and PNT · Spectrum monitoring and interference management

Spectrum occupancy measurement

Statistics of channel use over time that inform planning, sharing and licence applications.

Rec. ITU-R SM.1880

Spectrum, timing and PNT · Spectrum monitoring and interference management

Emitter location (TDOA and angle of arrival)

Multi-sensor techniques that locate interference sources for resolution with the regulator.

ITU Handbook on Spectrum Monitoring

Spectrum, timing and PNT · Spectrum monitoring and interference management

Interference investigation and reporting

A documented process from detection to resolution, using international reporting formats where needed.

ITU RR Art. 15 · ITU RR Appendix 10 (harmful interference report)

All 8 in this layer

06In situ sensors and instruments