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EDGE & CONNECTED SYSTEMS

Connect physical operations to intelligence and action.

Stacx24 engineers edge intelligence, telemetry and connected software systems that transform physical events into useful operational information.

Edge intelligence, telemetry and connected operational systems. We do not manufacture electronic products.
Sample film covering AI agents, workflow automation, edge systems and human accountability.
EDGE SYSTEM · ILLUSTRATIVE

Twenty-second silent sample with on-screen text: focused AI agents; connected applications and workflow automation; sensors, edge processing and telemetry; human approval and measurable outcomes.

EDGE PROCESSING

Process information where it makes operational sense.

Not every reading needs to travel to the cloud, and not every decision can wait for it. We place processing on the device, at the site gateway or in the cloud according to what the operation needs: how fast the response must be, how much the link can carry, what happens when it drops, and what should never leave the building.

ON DEVICE

No link needed.

Threshold checks, safety interlocks, local filtering, immediate alerts.

AT THE EDGE

Site-wide context.

Aggregation, local models, buffering through outages, privacy-preserving processing of camera data.

IN THE CLOUD

Fleet-wide intelligence.

Trends across sites, model training, dashboards, integration with operational applications.

TELEMETRY

Telemetry turns physical behaviour into operational context.

A sensor reading on its own is a number. Classified into the right kind of signal and placed next to the records of the operation, it becomes something a rule, a model or a person can act on. We design the telemetry model before the first device is installed.

  • STATE: What is it right now? On, off, open, closed, running, idle. ILLUSTRATIVE SAMPLE · EDGE NODE 03: pump_02.state = RUNNING. ROUTES TO: DASHBOARD.
  • EVENT: What just happened? A door opened, a cycle completed, a threshold crossed. ILLUSTRATIVE SAMPLE · EDGE NODE 03: door_dock_3 OPENED 09:14:02. ROUTES TO: RULES · WORKFLOW.
  • HEALTH: Is the device itself well? Heartbeat, power, storage, firmware. ILLUSTRATIVE SAMPLE · EDGE NODE 03: node_03 heartbeat OK · 41 d uptime. ROUTES TO: FLEET MONITORING.
  • ERRORS: What has gone wrong? Sensor offline, out of range, comms lost, faults. ILLUSTRATIVE SAMPLE · EDGE NODE 03: probe_b7 NO READING 120 s. ROUTES TO: ALERT · OWNER.
  • MEASUREMENT: How much? Temperature, pressure, flow, count, level. ILLUSTRATIVE SAMPLE · EDGE NODE 03: boiler_b7.temp = 71.4 °C. ROUTES TO: DATA · INTELLIGENCE.
  • CHANGE: What is different from before? A setpoint, a schedule, a configuration. ILLUSTRATIVE SAMPLE · EDGE NODE 03: setpoint 70.0 → 68.0 by j.okafor. ROUTES TO: AUDIT LOG.
  • TREND: Where is it heading? Drift, degradation, seasonal pattern. ILLUSTRATIVE SAMPLE · EDGE NODE 03: temp +0.3 °C / wk over 6 wk. ROUTES TO: INTELLIGENCE · REVIEW.
SSTEVHEERMECHTRSEDGE NODE 03DASHBOARDSTATE · PUMP_02.STATE = RUNNING
STATE

What is it right now? On, off, open, closed, running, idle.

pump_02.state = RUNNING · routes to DASHBOARD

EVERY SIGNAL IS TIMESTAMPED, ATTRIBUTED TO A DEVICE AND JOINED TO AN OPERATIONAL RECORDLAST SIGNAL 0 S AGO · 0 FAULTS
ENGINEERING CAPABILITIES

From the sensor to the decision.

Listed by layer, in the order a signal travels: IoT and edge systems engineering from sensor to edge AI to the cloud. We select, integrate and program these components; we do not manufacture them.

  1. 01 · SENSE: Capture the physical event. Sensors, Cameras.
  2. 02 · DEVICE: Read, control, run local logic. ESP32, Microcontrollers, Device Control.
  3. 03 · EDGE: Process and buffer on site. Raspberry Pi, Edge Linux, Local Processing.
  4. 04 · TRANSPORT: Move signals reliably. MQTT, Telemetry, Cloud Ingestion.
  5. 05 · DECIDE: Turn signals into decisions. Rules, AI-Assisted Decisions, Alerts.
  6. 06 · OBSERVE: See the system and the operation. Dashboards, Observability.
SENSORACTUATORSlight · fan · motor · etc.RELAYCONTROLLEREDGE DEVICEAPPLICATIONOBSERVABILITYUSER / ADMIN
01 · SENSE
Capture the physical event
  • Sensors
  • Cameras
CORE SYSTEM MODEL

The system is the product. Technology is a component.

  • Not every step needs AI.
  • Some need rules.
  • Some need software.
  • Some need edge processing.
  • Some need people.

We engineer the right combination.

Illustrative example

Research assistance

IN THE OPERATION
A document arrivesFrom the research team
Research workspaceDEMONSTRATION
01 / 08EVENT

A new document arrives

Field study notes
  • Source document received
  • Original retained
  • Ready to review
Received

A research document starts the work. The original stays available throughout.

Each outcome informs the next cycle.
  1. 01 · EVENTA new document arrives

    A research document starts the work. The original stays available throughout.

  2. 02 · CONTEXTBring the background together

    Existing records, source details and the approved label list give the document context.

  3. 03 · PROCESSINGCheck the details first

    Software checks for duplicates and missing information before any AI suggestion.

  4. 04 · INTELLIGENCESuggest a label, within scope

    AI proposes a label from the approved list. It cannot publish the label itself.

  5. 05 · DECISIONA researcher makes the decision

    The researcher reads the supporting passage and approves or corrects the suggestion.

  6. 06 · ACTIONUpdate the research record

    Only the approved label enters the record, alongside its source.

  7. 07 · OBSERVATIONRecord what actually happened

    The system records the suggestion, the review and the saved result so the team can inspect them.

  8. 08 · IMPROVEMENTReview the labelling rules

    The team reviews corrections and agrees changes to the guidance before the next document.

Everyday operations

IN THE OPERATION
A request arrivesFrom the operating team
Operations workspaceDEMONSTRATION
01 / 08EVENT

A request starts the work

New work request
  • Request received
  • Source application linked
  • Handoff opened
Received

An incoming request starts a handoff between the tools your team already uses.

Each outcome informs the next cycle.
  1. 01 · EVENTA request starts the work

    An incoming request starts a handoff between the tools your team already uses.

  2. 02 · CONTEXTAttach the details once

    The system brings together the request, existing records and its responsible owner.

  3. 03 · PROCESSINGLet the rules route the work

    Defined rules check the request and pass its details between connected applications.

  4. 04 · INTELLIGENCERules are enough here

    This example needs no AI decision. Defined rules identify an exception and send it to its owner.

  5. 05 · DECISIONThe owner resolves the exception

    A named person supplies the missing detail and confirms that the work can continue.

  6. 06 · ACTIONComplete the handoff

    The confirmed information reaches the next application and the work continues.

  7. 07 · OBSERVATIONKeep the outcome visible

    The system records completion and exceptions so the team can see what happened.

  8. 08 · IMPROVEMENTReview the handoff rules

    The team reviews repeated exceptions and approves rule changes for future requests.

Connected fields

IN THE OPERATION
A field reading arrivesFrom a connected sensor
Field operations workspaceDEMONSTRATION
01 / 08EVENT

A sensor reads the field

Incoming field reading
  • Sensor reading received
  • Field identified
  • Reading time attached
Received

A new field reading starts the cycle, connecting conditions on the ground to the system.

Each outcome informs the next cycle.
  1. 01 · EVENTA sensor reads the field

    A new field reading starts the cycle, connecting conditions on the ground to the system.

  2. 02 · CONTEXTPut the reading in context

    Field history and recent conditions help the team interpret the new reading.

  3. 03 · PROCESSINGCheck the signal near the field

    Local edge checks validate readings before relevant information reaches the monitoring application.

  4. 04 · INTELLIGENCEPrepare a suggested response

    The system uses the checked information to propose a response within its defined scope.

  5. 05 · DECISIONThe agronomist reviews

    The agronomist checks the proposal and approves or adjusts it before it reaches the operator.

  6. 06 · ACTIONSend the approved proposal

    The approved proposal reaches the operator with the instructions they need.

  7. 07 · OBSERVATIONKeep watching the conditions

    New readings and operator reports help the team understand what happened next.

  8. 08 · IMPROVEMENTReview the next field cycle

    The agronomist reviews the observations and agrees guidance for the next cycle.

Read the complete system model
  1. EVENT

    Something happens in the operation.

  2. CONTEXT

    Records, history and state are attached.

  3. PROCESSING

    Rules, software and integrations do the deterministic work.

  4. INTELLIGENCE

    One bounded AI component, where judgement can be modelled.

  5. DECISION

    A named person decides where it matters.

  6. ACTION

    Something changes in the world.

  7. OBSERVATION

    Telemetry and monitoring record what happened.

  8. IMPROVEMENT

    The loop feeds back into the next event.

RELIABILITY

Designed for the day the link drops.

Physical systems fail in physical ways: power, weather, a cable, a moved router. The system is engineered to keep operating, tell someone, and recover without a site visit.

  • Connectivity loss

    Local logic keeps running. Alerts raise on site first.

  • Local buffering

    Readings are stored at the edge and forwarded in order when the uplink returns.

  • Retry behaviour

    Backoff, deduplication and idempotent delivery. Nothing is sent twice or lost.

  • Device health

    Heartbeat, temperature, storage and firmware state reported per device.

  • Recovery

    Watchdogs, safe restarts and remote recovery without a site visit.

  • Authentication

    Per-device identity and credentials. Unknown devices are refused.

  • Encrypted communication

    TLS between device, edge and cloud. Keys rotate.

  • Monitoring

    Fleet and site state observable in one place, with an owner for each alert.

  • Failover

    Secondary uplinks and redundant gateways where the operation justifies them.

Related work

NEXT STEP

Have a physical operation that needs better visibility or intelligence?

Tell us what happens on site and what you cannot see today. We will propose where to sense, where to process and who should act.
Discuss an Edge System
No technical specification required. Start with what happens on site.