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SPIDEX Technologies

Data is everywhere.
Access shouldn't be complicated.

SPIDEX simplifies the path from physical data sources to enterprise applications through a device-agnostic, industry-agnostic technology stack.

SENSORBLEAGVCANCAMERAETHERNETHMIWI-FIMETERMQTTSPIDEXACQUIRE · NORMALISE · DELIVERANALYTICSAUTOMATIONENTERPRISE
The real problem

The world doesn't have a data problem.
It has a data access problem.

The data already exists. Reaching it is what costs — and the cost does not amortise.

Between you and one sensor's reading

  1. 01Custom driver
  2. 02Protocol conversion
  3. 03Vendor SDK
  4. 04Gateway integration
  5. 05Data transformation
  6. 06Cloud connector
  7. 07Device management
  8. 08Maintenance

Now do all eight again for the next source.
And again for the one after that.

The promise

No matter where the data comes from.

Integrated by hand, every one of these is its own piece of work — a device type, on a transport, in a sector, for an application. Stop counting device types at 13 and transports at 9, well short of either real figure, and across 5 sectors that is already 585 of them.

A slice — 13 devices × 9 transports × 5 sectors585 combinations, at minimum

One block per sector · 9 transports across × 13 device types down

One path through all of them.

SPIDEX · acquire · normalise · deliver
  • 01No matter the deviceany product type
  • 02No matter the protocolany transport
  • 03No matter the sensorany payload
  • 04No matter the vendorany manufacturer
  • 05No matter the industry5 sectors
  • 06No matter the applicationany consumer
A position, not a feature

Democracy
of data.

Data should not be privileged by the circumstances of its own creation. A reading from a thirty-year-old controller is not worth less than one from a device shipped last quarter — it is only harder to reach.

Data should not be privileged based on

  • ·Which vendor generated it
  • ·Which hardware produced it
  • ·Which protocol transported it
  • ·Which industry owns the equipment
  • ·Which generation of technology produced it
  • ·Which application eventually consumes it

Democratising access to data acrossdevices, systems and industries.

The architecture

A layered technology stack for the physical world.

L07Applications

What the data was for

  • Analytics
  • Automation
  • AI / ML
  • Dashboards
  • Enterprise
  • Custom
L06SPIEngine

Device and platform operations

  • Provisioning
  • Monitoring
  • Configuration
  • OTA
  • Diagnostics
  • APIs
L05Data

Where difference stops mattering

  • Normalisation
  • Common models
  • Events
  • Metadata
  • Device state
  • Context
L04C3F

Common communication & control

  • Communication
  • Control
  • Abstraction
  • Telemetry
  • Diagnostics
  • Security
  • Lifecycle
L03Device & edge

Where acquisition happens

  • Gateway
  • Protocol translation
  • Edge compute
  • Local rules
  • Buffering
L02Connectivity

However it already talks

  • BLE
  • Ethernet
  • Wi-Fi
  • Cellular
  • RS485
  • UART
  • CAN
  • MQTT
  • OPC-UA
L01Data sources

The physical world

  • Sensor
  • Machine
  • PLC
  • Vehicle
  • Meter
  • Camera
  • RFID
  • Asset
  • Facility
  • Legacy
Drawn bottom-up · L01 is the physical worldCell width follows the content, so the lower layers stay deliberately uneven

Layer by layer

L01

Data sources

The physical world

  • Sensors
  • Machines
  • Devices
  • Vehicles
  • Assets
  • Infrastructure
  • Legacy systems
L02

Connectivity

However it already talks

  • BLE
  • Ethernet
  • Wi-Fi
  • Cellular
  • RS485
  • UART
  • CAN
  • MQTT
  • OPC-UA
L03

Device & edge

Where acquisition happens

  • SPIDEX devices
  • Gateways
  • Edge computing
  • Protocol translation
  • Local processing
L04

C3F

Common Communication & Control Framework

Built by SPIDEX
  • Communication
  • Control
  • Device abstraction
  • Telemetry
  • Diagnostics
  • Security
  • Lifecycle
L05

Data

Where difference stops mattering

Built by SPIDEX
  • Normalisation
  • Common models
  • Telemetry
  • Events
  • Metadata
  • Device state
  • Context
L06

SPIEngine

Device and platform operations

Built by SPIDEX
  • Management
  • Monitoring
  • Configuration
  • OTA
  • Diagnostics
  • Security
  • APIs
L07

Applications

What the data was for

  • Enterprise systems
  • Analytics
  • Automation
  • AI/ML
  • Dashboards
  • Custom applications

SPIDEX separates the complexity of data acquisitionfrom the applications that need the data.

Follow the data

From physical signal
to usable enterprise data.

One reading, tracked the whole way. Watch what it carries at each stage — the complexity does not disappear, it moves into the platform.

Payload at this stageRAW
  • ·ADC 0x0A3F
  • ·raw · 12-bit
  • ·no timestamp
  • ·no identity

Illustrative payload · shapes shown, not live data

Operational environments

Industrial data,
without industrial complexity.

A plant, a warehouse or a facility already produces everything needed to run it better. It produces it in six incompatible ways, on equipment installed two decades apart. Pick a source and follow what it becomes.

PLC · Modbus TCP

A SPIGWAY gateway running C3F polls the holding registers over Modbus TCP. The PLC program is not modified and no vendor SDK is involved.

Equipment already on the floor

  • PLC · Modbus TCP
  • SCADA · OPC-UA
  • Energy meter · Modbus RTU · RS485
  • Rack sensors · BLE
  • Forklift · CAN · cellular
  • Legacy panel · Dry contacts · serial
C3F

Common communication & control framework

Runs on the device and gateway

SPIDEX

Normalise · contextualise · deliver

What operations actually uses

  • Insights
  • Dashboards
  • Alerts
  • Work orders
  • ERP / MES

Pick a source

01Raw signal

Holding registers 40001–40012 · counts, state word, fault bits

02Normalised via C3F

cycle.count · line.state · fault.code, typed and timestamped

03Insight

Cycle time drifting 4% slower across the shift

04Action taken

Maintenance work order raised against the sealing head

Illustrative journeys · shapes shown, not measured figures

Connect what already exists.
Build what comes next.

The difference

Complexity belongs in the platform. Not in every application.

SPIDEX does not eliminate the physical diversity of the world — nothing can. It absorbs that diversity, once, so that every project above it does not have to.

Rebuilt per project

  1. 01Device
  2. 02Custom driver
  3. 03Custom gateway
  4. 04Custom data format
  5. 05Custom cloud
  6. 06Custom application

Six stages · repeated for every source

Built once

  1. 01Device
  2. 02SPIDEX
  3. 03Unified data
  4. 04Application

Four stages · reused for every source

Absorbed by the platform

  • Protocol differences
  • Hardware differences
  • Communication differences
  • Device lifecycle
  • Connectivity
  • Data normalisation
  • Device management
  • Security
  • Remote operations

Every item here is work an application team would otherwise carry themselves, on every project, for the lifetime of the deployment.

Device agnostic

The data source shouldn't dictate the architecture.

SPIDEX hardware is part of the ecosystem, not a precondition for it. The platform is designed to absorb differences in hardware, vendor, gateway, sensor and generation of equipment.

  • ·SPIDEX hardware
  • ·Third-party hardware
  • ·Existing equipment
  • ·Custom devices
  • ·Legacy systems
  • ·Mixed estates

Use what you have. Build what you need.
Connect what comes next.

Industry agnostic

Different worlds. Same problem underneath.

The equipment changes completely from one sector to the next. The work of reaching its data barely changes at all.

MANUFACTURINGHEALTHCAREENERGY AND UTILITIESAGRICULTURETRANSPORTATION AND LOGISTICSSPIDEX
See the sectors in detail →
The hardware

Devices are how the platform
reaches the physical world.

SPIDEX hardware exists to open a path to data that would otherwise stay shut. Each family is a different way into the same stack — not a separate product line with its own architecture.

SPIGWAY

L03 · Device & edge

Industrial and enterprise gateways. They aggregate devices at a site, convert protocols, run edge logic and hold the secure link back to SPIEngine.

Acquires
Site equipment over industrial and wireless interfaces
Delivers
Aggregated, protocol-converted site data
ANT ×2STATUSVENT2× ETHERNETI/O TERMINAL
DIN 35 mm rail · representative outline

BLEPSI

L01 · Data source

Battery-operated BLE sensing and proximity devices for environments where running cable is not an option.

Acquires
Environmental and proximity readings where cable cannot run
Delivers
Battery-operated telemetry over BLE
BLE ANTSENSORCELLIP-RATED SEAL
Sealed · battery · representative outline

LiNT

L03 · Device & edge

Bridges that bring existing industrial equipment onto the platform without replacing it — Modbus, RFID and sensor interfaces that speak C3F on the platform side.

Acquires
Equipment that predates the platform — Modbus, RFID, sensors
Delivers
Brownfield assets speaking C3F
FIELD INC3F OUTPROTOCOL MAP
Field bridge · representative outline

TiTA

L01 · Data source

Connected telemetry and tracking units for assets and vehicles that move, including direct vehicle-bus telemetry.

Acquires
Position, movement and vehicle-bus telemetry
Delivers
Location and asset state from things that move
GNSS + LTEACCELOBD-IIPOWER
Vehicle unit · representative outline

Timing & Specialised Systems

L03 · Device & edge

Network timing and specialised systems built on the same SPIDEX foundation, for environments where accuracy and reliability are the requirement.

Acquires
Network time and specialised system state
Delivers
Precision timing across the estate
EARDISPLAYGNSSETH / PPS
19 in rack · 1U · representative outline
Above the platform

Once the data is accessible,
everything above it becomes easier.

The path, not the product category

  1. 01AcquireConnect to physical data sources, whatever they are.
  2. 02NormaliseConvert heterogeneous device data into a common representation.
  3. 03UnderstandAdd device, asset and contextual information.
  4. 04OperateMonitor and control devices across the estate.
  5. 05IntegrateExpose the data to enterprise systems.
  6. 06BuildCreate applications on top of one unified data layer.

What teams build on it

  • Analytics
  • Automation
  • Digital twins
  • Predictive maintenance
  • Asset intelligence
  • Remote operations
  • Business intelligence
  • AI and ML

SPIDEX does not ship these. It removes the reason they are hard to start — the months of acquisition and integration work that sit between an idea and the first useful reading.

The physical world is diverse.
Your data architecture isn't.

SPIDEX provides a flexible, device-agnostic and industry-agnostic technology stack for acquiring, normalising, managing and delivering data from the physical world to the applications that depend on it.