1 Day
Intermediate
IIoT Foundations
The full IoT stack — sensor selection, LoRaWAN, MQTT & OPC-UA, edge gateway configuration, and cloud ingestion.
Industrial IIoT, AI & Digital Twin Specialists
IoT & Digital Twin
Solutions for the
Industrial Edge
We design end-to-end IoT solutions and Digital Twin platforms — connecting LoRaWAN networks and IIoT devices to AI‑powered digital replicas that drive operational efficiency in Mining, Agriculture, Smart City, Smart Energy, Smart Infrastructure, and Heritage Buildings.
6
Industry Sectors
Edge→AI
Full Stack Capability
Sensors & Edge
IoT / IIoT
AI / LLM Core
Real-time Sync
Digital Twin
[ 01 ] INDUSTRY FOCUS
Mining
Predictive equipment monitoring, safety telemetry, and resource optimisation across underground and open-cut operations.
Agriculture
Precision farming via soil, climate, and crop sensors; AI-driven irrigation and yield forecasting at scale.
Smart Infrastructure
City-scale asset management, energy grid intelligence, and building automation backed by real-time Digital Twins.
Smart City
Connected urban infrastructure — traffic, utilities, public safety, and environmental sensors unified into a city-wide Digital Twin for real-time management.
Smart Energy
Grid intelligence, renewable asset monitoring, and energy optimisation using IIoT sensors and AI-driven Digital Twins across generation, distribution, and storage.
Heritage Buildings
IoT structural and environmental monitoring to preserve historic assets — tracking moisture ingress, micro-vibration, and settlement to prevent irreversible damage.
Our Speciality
[ 02 ] PLATFORM INTELLIGENCE
Real-Time Operational Awareness
Our integrated dashboards give your team a single pane of glass — from edge sensor health to AI-driven predictions and Digital Twin state.
0
Active Sensors
↑ 3.2%
0%
System Uptime
↑ 0.4%
0
Anomalies Detected
↓ 67% vs avg
0
Digital Twins Active
↑ 2 this week
Sensor Telemetry – Last 60 Minutes
1007550250
Zone A
Zone B
Threshold
Asset Health Score
87
%
62
%
94
%
AI Event Stream
09:47:32
PREDICT
Bearing wear detected – Pump 3. Maintenance window recommended in 72h.
09:41:15
ANOMALY
Vibration amplitude +38% above baseline – Conveyor B2.
09:35:02
SYNC
Digital Twin model updated – 247 data points ingested.
09:28:44
LLM
Operational report generated for sector 4. PDF exported.
09:19:11
SYNC
Soil moisture calibration complete – Field zones A–D.
Edge Network Topology
All nodes online
[ 03 ] WHAT WE DO
End-to-End IoT & Digital Twin Solutions
From sensor hardware to intelligent simulation — we architect complete IoT solutions and Digital Twin platforms so your operations become self-aware.
01
IoT & Sensor Integration
We design and deploy robust IIoT architectures using LoRaWAN, MQTT, OPC-UA, and Modbus — from sensor selection to cloud ingestion pipelines.
- LoRaWAN network design & deployment
- Edge gateway configuration (AWS IoT, Azure IoT Hub)
- Real-time telemetry & SCADA integration
- Industrial protocol bridging
02
AI & Machine Learning
We build domain-specific AI models — from predictive maintenance algorithms to multimodal LLMs that make sense of complex operational data.
- Predictive analytics & anomaly detection
- Computer Vision for industrial inspection
- Custom LLM fine-tuning & RAG pipelines
- On-device edge ML model deployment
03
Digital Twin Development
We create high-fidelity 3D digital replicas of your physical assets, synchronised in real-time to your sensor network for simulation and prediction.
- 3D asset modelling & physics simulation
- Real-time sensor data synchronisation
- Scenario planning & what-if analysis
- Unity / Unreal / NVIDIA Omniverse builds
Not sure which service fits your challenge?
Schedule a Free Technical Audit
[ 04 ] DIGITAL TWIN TECHNOLOGY
Your Physical Assets,
Your Physical Assets,
Mirrored in Real-Time
Every sensor pulse, every machine state, every process variable — streamed continuously into a living, breathing 3D digital replica. Simulate failures before they happen. Run what-if scenarios without touching real equipment.
Want to build one yourself? Our IIoT Digital Twin SaaS platform lets you connect live sensor data from InfluxDB, PostgreSQL, MySQL or Grafana, place hotspots, replay history, and view your twin in AR/VR — all in the browser.
Sub-second data latency
Sensor-to-model sync under 200ms via edge preprocessing
Physics-accurate simulation
Thermal, mechanical, and fluid dynamics modelled in Omniverse / Unreal
Predictive failure horizon
AI models forecast anomalies 24–72h before equipment failure
Live Digital Twin — Interactive 3D Model
Real-time Sync
247 Sensors Active
Sensor → Model Data Stream
12ms latency
3D model: “Safat EJ200- JET ENGINE AN” by CloudHubOmniTeam, licensed under CC BY 4.0.
[ 05 ] OUR APPROACH
From Physical Reality to
From Physical Reality to
Digital Intelligence
1
Technical Audit
We assess your existing infrastructure, data sources, connectivity, and operational goals to build a precise problem statement.
2
Architecture Design
We produce a detailed IoT-to-AI architecture blueprint — stack, protocols, data flows, model selection, and KPIs.
3
Build & Integrate
Sensors to cloud to AI model. We handle deployment, integration, and validation against your operational environment.
4
Monitor & Optimise
The Digital Twin evolves with your operation. We provide ongoing model retraining, insight dashboards, and alerting systems.
[ 06 ] TRAINING & COACHING
IoT & Digital Twin
IoT & Digital Twin
Training & Workshops
We design and deliver hands-on IoT and Digital Twin training for engineering teams — intensive technical workshops covering the full spectrum from IoT fundamentals to advanced AI and Digital Twin implementation. Training is bespoke — shaped around your technology stack and industry context.
IIoT Foundations
Sensors, protocols, gateways, and cloud connectivity — from hardware to MQTT.
Applied AI for Engineers
ML fundamentals, model training, LLM integration, and edge AI deployment.
Digital Twin Design
Modelling, simulation frameworks, real-time sync architecture, and scenario analysis.
Leadership Briefings
Executive-level technology briefings for CTOs and Operations Directors.
1 Day
Flagship · Hands-On
IoT & Digital Twin Workshop
Connect real sensors, stream live data, and build a working Digital Twin — in a single day. Our flagship hands-on intensive.
View workshop details →
1 Day
2 Days
Intermediate
Applied AI for Engineers
ML theory to production-ready models on industrial time-series data — predictive maintenance, LLM integration, and edge AI.
2 Days
Advanced
Digital Twin Design
Architecture-led training on designing, building, and operating Digital Twin systems — cyber-physical modelling and real-time sync.
Half Day
Executive
Leadership Briefings
Strategic technology briefings for CTOs and Operations Directors — ROI frameworks, governance, build-vs-buy, and roadmap planning.
Trading as
Synapse Edge Ltd
Team Expertise
LPWAN · IoT/IIoT · AI · Digital Twins
Combined Experience
40+ years across 3 sectors
[ 07 ] ABOUT US
The Edge Philosophy
"The Edge" refers to the precise boundary where the physical world meets the digital — where raw sensor data transforms into operational intelligence.
We are a specialist team of engineers, AI researchers, and industry domain experts — united by a single focus: bridging the physical-to-digital gap with genuine technical rigour. Our team brings decades of combined experience in embedded systems, wireless sensor networks, industrial AI, and high-fidelity simulation.
We work directly with CTOs, Operations Directors, and Engineering Leads who need more than a slide deck. They need a technical partner who can design, build, and validate a complete physical-to-digital system — and explain every decision with precision.
PhD-Level Technical Depth
Multi-Discipline Expert Team
End-to-End Ownership
No Marketing Fluff
Dr. R. Sajad
Founder & Lead Architect15+ years in BIM and smart building monitoring.
AI Research Lead
ML & Computer VisionMSc Machine Learning. Specialises in on-device inference, LLM fine-tuning, and industrial anomaly detection.
Digital Twin Engineer
3D Simulation & Real-time Sync10 years building high-fidelity digital twins for mining and infrastructure using Omniverse and Unreal Engine.
Domain Consultant
Mining & Agriculture Specialist20 years operational experience in mining and precision agriculture. Bridges technical design and real-world deployment.
[ 08 ] FAQ
Frequently Asked Questions
What IoT and Digital Twin training workshops do you offer?
We offer five engineering workshops: IIoT Foundations (2 days), Applied AI for Engineers (3 days), Digital Twin Design (3 days), Leadership Briefings (half day), and the IoT & Digital Twin Hands-On Workshop (1 day). All are delivered on-site at your premises or remotely, shaped to your team's technology stack.
Do you deliver IoT and AI training on-site in the UK?
Yes. Synapse Edge Ltd delivers all training workshops on-site at client premises across the UK, or remotely via interactive platforms. Training is bespoke — customised to your industry sector and technology stack.
What industries do you provide IoT consultancy for?
We specialise in six sectors: Mining (predictive equipment monitoring, safety telemetry), Agriculture (precision farming, soil sensors, yield forecasting), Smart City (connected urban infrastructure, city-scale Digital Twins), Smart Energy (grid intelligence, renewable asset monitoring, energy optimisation), Smart Infrastructure (building automation, asset management), and Heritage Buildings (structural and environmental IoT monitoring to preserve historic assets).
What is a Digital Twin and how does Synapse Edge build one?
A Digital Twin is a real-time 3D digital replica of a physical asset, synchronised continuously via IoT sensors. Synapse Edge architects the full pipeline: sensor deployment, edge processing, cloud ingestion, AI modelling, and high-fidelity 3D visualisation using NVIDIA Omniverse or Unreal Engine — with sub-second data latency.
Do you offer a Digital Twin software platform?
Yes. The Synapse Edge™ IIoT Digital Twin Platform is a browser-based SaaS product that turns your 3D models into live digital twins. Connect directly to InfluxDB, PostgreSQL or MySQL, or use your existing Grafana instance, then place live sensor hotspots, replay history, control equipment, and view in AR/VR. You can even embed the twin into a Grafana dashboard via iframe. It is currently invite-only with a free plan — request access on our platform page.
[ 09 ] GET IN TOUCH
Ready to Bridge the
Ready to Bridge the
Gap?
Tell us about your challenge. Whether you need an IoT architecture review, an AI proof-of-concept, or a complete Digital Twin build — we'll respond with a technical perspective, not a sales pitch.