Resilience Solutions

IoT, Edge & Digital Twins

Connect assets, understand operations and act in real time.

Build secure connected ecosystems that turn operational data into monitoring, prediction, control and new services.

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The problems this solves

What usually brings people here

If one of these sounds like your situation, this is the right page.

  • Our equipment tells us it has failed, not that it is about to.

    Maintenance is reactive. Unplanned downtime is expensive and the data needed to predict it is either not collected or not reaching anyone.

  • Operational data never reaches the people who could act on it.

    Sensors and control systems produce data that stays trapped in OT networks, disconnected from the enterprise systems where decisions get made.

  • We cannot see what is happening across sites.

    Each facility reports differently, on different cadences, so comparison and fleet-level decisions are impossible.

  • Connecting equipment raises security concerns we cannot answer.

    Bridging operational and IT networks introduces risk that needs a designed answer — segmentation, identity, update paths — not an assurance.

Capabilities

What we actually do

  • IoT strategy and architecture

    Connectivity, data flow, security and integration design before hardware is committed.

  • Sensors, gateways and connectivity

    Device selection, protocol translation and resilient connectivity for constrained environments.

  • Telemetry and streaming pipelines

    High-volume ingestion, buffering and time-series storage designed for the query patterns that matter.

  • Edge computing and edge AI

    On-device inference and local processing where latency, bandwidth or resilience demands it.

  • Device lifecycle management

    Provisioning, identity, configuration, secure over-the-air update and decommissioning.

  • Predictive maintenance

    Condition monitoring and failure prediction tied to maintenance planning rather than to a dashboard.

  • Digital twins

    Asset and process models fed by operational data, used for monitoring, simulation and scenario testing.

  • IoT security

    Device identity, network segmentation, encrypted transport and monitoring across the OT/IT boundary.

How it fits together

From a machine to a decision somebody acts on

Operational data is worthless until it is comparable. Each tier below exists to make the one above it possible, and the value is only realized in the last one.

  1. 01

    Physical assets

    Where the data starts

    • Machines and lines
    • Vehicles and fleet
    • Facilities
    • Instruments
    • Sensors

  2. 02

    Edge

    Where it becomes usable

    • Gateways
    • Protocol translation
    • Local compute
    • Buffering
    • Store and forward

  3. 03

    Platform

    Where it becomes comparable

    • Time-series store
    • Streaming
    • Asset and context model
    • Quality rules
    • Historian integration

  4. 04

    Twin and analytics

    Where it becomes a prediction

    • Asset state
    • Condition monitoring
    • Simulation
    • Failure prediction
    • Scenario testing

  5. 05

    Operations

    Where it has to land to count

    • A maintenance decision
    • A schedule change
    • A control action
    • An engineering change

How we approach it

Principles we hold to

  • Instrument before you model

    Connectivity and data quality determine everything downstream. We establish what can actually be measured, at what frequency and with what reliability, before designing analytics or twins on top of it.

  • Treat OT/IT as an interface, not a join

    The boundary between operational and enterprise networks is designed explicitly — unidirectional flow where the use case allows, per-device identity, segmentation and a tested update path.

  • Prove value on one asset class

    A single line, fleet or asset type first, with a measurable baseline. Scaling a pattern that works beats piloting several that nobody committed to.

Outcomes

What you should end up with

  • Improved asset utilization, reliability, safety and service innovation.
  • Maintenance planned from condition rather than from a calendar.
  • Consistent operational visibility across sites and fleets.
  • A connectivity architecture with a defensible security position.

Where this usually starts

A short working session on your situation — what you are trying to change, what is in the way, and whether this is the capability that addresses it.

Discuss a connected operations initiative

Evidence

What changes, and how you would know

Two different things belong here. One is the structural change this capability makes, which we can describe today. The other is a client outcome, which publishes only when a client has approved it in writing with a timeframe and a baseline.

Client outcomes for IoT, Edge & Digital Twins

Proof pending approval

A published outcome here will carry the client's written approval, the timeframe it was measured over and the baseline it was measured against. Until all three exist, this section says so rather than showing a figure you could not check.

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Where this capability leads

Every connection below is recorded in the content itself, and each one says why it is here.

Explore where this capability fits

Answer four questions about your goal, sector, environment and constraint, and see how this capability sits alongside the others in a path — with the reasoning shown.

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Questions

Frequently asked

What is a digital twin, in practical terms?
A model of a physical asset or process kept synchronized with it by operational data. Its value is that questions can be asked of the model instead of the asset — how a change would affect throughput, when a component will reach a threshold, what a failure would cost. Without live data it is a simulation, not a twin.
When does processing need to happen at the edge rather than in the cloud?
When latency, bandwidth or resilience requires it. Control decisions needing sub-second response, high-frequency sensor data too expensive to transmit in full, and sites that must keep operating through a connectivity outage all justify edge processing. Otherwise centralized processing is simpler to operate and update.
How do you connect operational technology without increasing security risk?
By treating the OT/IT boundary as a designed interface rather than a network join: unidirectional data flow where possible, per-device identity and certificates, network segmentation, encrypted transport, and a tested secure update path. The risk is manageable but it must be architected rather than assured.

Discuss a connected operations initiative

Tell us what you are trying to change. Someone who does this work reads every request and connects you with the right capability team.

Discuss a connected operations initiative
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