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Deploint

Industry 06

Intelligence for distributed energy infrastructure.

Deploint engineers asset monitoring, predictive maintenance, energy analytics and field operations software for energy organizations running distributed, remote and long-lived infrastructure.

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06 / Energy

System pattern

Engineered for

  • Remote assets
  • OT security
  • Field connectivity
  • Long asset lifecycles

Typical system flow

05 stages

  1. 01Field assets
  2. 02Telemetry
  3. 03Edge
  4. 04Analytics
  5. 05Field operations

Focus areas

  • Asset monitoring
  • Predictive maintenance
  • Energy analytics
  • Digital twins
  • Field operations

01Solutions

From field telemetry to field crews.

Energy assets are spread across large areas and built to last decades. Each solution is engineered for remote connectivity, mixed equipment and the crews who maintain it.
  • 01

    Asset monitoring

    Telemetry from generation, transmission, distribution and storage assets consolidated into one condition and performance view.

  • 02

    Predictive maintenance

    Condition models for transformers, turbines, inverters, pumps and other critical equipment, prioritized by risk and consequence.

  • 03

    Energy analytics

    Load, generation and consumption analytics, forecasting and reporting on governed time-series data.

  • 04

    IoT

    Device connectivity for remote and low-bandwidth sites, with secure provisioning, store-and-forward and fleet management.

  • 05

    Digital twins

    Asset and network models that combine telemetry, GIS and engineering data for monitoring, planning and scenario analysis.

  • 06

    Field operations

    Mobile work management for crews: work orders, inspections, offline access and photo capture, synchronized with back-office systems.

  • 07

    AI optimization

    Forecasting and optimization models for dispatch, storage and maintenance scheduling, with recommendations reviewed by operators.

Related programs

02Use cases

Use cases across generation, networks and the field.

Starting points where better data and earlier warnings change how assets are maintained and operated.

  1. 01

    Remote asset monitoring

    Continuous condition monitoring for assets spread across large, remote areas with limited connectivity.

    • Cellular / satellite IoT
    • Edge gateways
    • Time-series

  2. 02

    Renewable performance analysis

    Comparing expected and actual output across wind, solar and storage assets to find underperformance early.

    • SCADA data
    • Weather data
    • Performance models

  3. 03

    Inspection programs

    Drone, camera and field inspection data processed into prioritized findings for maintenance teams.

    • Computer vision
    • Mobile apps
    • GIS

  4. 04

    Load and generation forecasting

    Short- and medium-term forecasts that feed planning, trading and dispatch decisions.

    • Forecasting models
    • Weather feeds
    • MLOps

  5. 05

    Field workforce enablement

    Offline-capable field apps that put asset history, procedures and work orders in crews' hands.

    • Mobile
    • Offline sync
    • EAM / CMMS

03Reference architecture

A reference architecture for distributed assets.

Telemetry travels from remote assets over constrained links, is analyzed centrally and returns to the field as prioritized work.

Turbines, inverters, transformers, substations, meters, pipelines and storage systems, often remote and from many vendors.

  • SCADA
  • RTUs
  • Smart meters
  • Sensors

04Engineering considerations

Constraints that shape energy systems.

Energy infrastructure is critical, physical and remote. Those three facts shape every architecture decision.

  • Constraint 01

    Critical infrastructure security

    Energy systems are high-value targets, and an OT compromise has physical consequences.

    Engineering response

    • Segmented OT and IT networks
    • Outbound-only data paths from OT
    • Device identity and signed firmware updates

  • Constraint 02

    Remote connectivity

    Assets sit at the end of cellular, radio or satellite links with limited bandwidth.

    Engineering response

    • Store-and-forward at the edge
    • Compression and adaptive sampling
    • Offline-capable field apps

  • Constraint 03

    Long asset lifecycles

    Equipment runs for decades and mixes vendors, protocols and data quality.

    Engineering response

    • Protocol adapters per asset class
    • Normalized asset models
    • Retrofit sensing where needed

  • Constraint 04

    Operational safety

    Recommendations can concern equipment that is dangerous to operate incorrectly.

    Engineering response

    • Operator approval for control-adjacent actions
    • Read-only integration by default
    • Clear separation from protection systems

  • Constraint 05

    Regulatory reporting

    Energy organizations report on reliability, emissions and operations to regulators and stakeholders.

    Engineering response

    • Traceable data pipelines
    • Versioned calculation logic
    • Evidence prepared with compliance teams

  • Constraint 06

    Time-series scale

    High-frequency telemetry across large asset fleets grows quickly and must stay queryable.

    Engineering response

    • Tiered storage and downsampling
    • Time-series-optimized stores
    • Retention policies by data class

05Related capabilities

Engineering disciplines behind the work.

Energy programs draw on these capabilities, delivered by one team that designs, builds, secures and operates the system.
All capabilities

06Concept architectures

Reference architectures for related problems.

These are concept architectures: illustrative engineering references, including patterns from adjacent industries, not descriptions of client engagements.
All case studies

07FAQ

Common questions.

What engineering leaders ask us about energy systems.
01Can you work with SCADA systems and utility protocols?

Yes. We integrate with SCADA systems, historians and protocols such as DNP3, IEC 61850, Modbus and OPC UA, usually through read-only gateways that keep OT networks segmented from IT and cloud environments.

02How do you handle sites with poor connectivity?

Edge gateways buffer data locally and forward it when links allow, with adaptive sampling to respect bandwidth limits. Field applications work offline and synchronize when a connection is available.

03Do your systems control energy assets?

Our default is monitoring and decision support: recommendations go to operators, who decide. Any integration that writes to control systems is scoped separately with your operations and protection engineers.

04How do you approach security in energy OT environments?

We design for segmentation, outbound-only data paths, device identity and signed updates, and threat-model every connection into the OT environment. Applicable regulatory and security frameworks are confirmed with your security and compliance teams for each program.

Energy engineering

Monitoring infrastructure in the field?

Bring us the assets and the operational problem. We'll help architect the system from field telemetry to field crews.

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