Industrial IoT,
Edge AI &
Operational
Analytics Services

SERVICE 01

Feasibility, Strategy & System Architecture

Establish what to build, how it will work, and how to measure success.

• Identify opportunities for equipment monitoring, process improvement, automation, and embedded intelligence.
• Assess existing hardware, connectivity, data quality, and integration requirements.
• Evaluate whether conventional analytics, rules-based logic, or machine learning best fits the application.
• Define performance targets, acceptance criteria, implementation priorities, and lifecycle costs.
• Design architectures spanning embedded devices, edge gateways, cloud services, and on-premises infrastructure.

Typical deliverablesFeasibility assessment, system architecture, technology recommendations, cost estimates, and development roadmap.

SERVICE 02

Sensor Integration & Embedded Data Acquisition

Capture reliable measurements from real equipment under real operating conditions.

• Select sensors and determine placement, measurement ranges, sampling rates, and interface requirements.
• Develop acquisition firmware for microcontrollers, single-board computers, and edge gateways.
• Integrate analog inputs and digital interfaces, including I²C, SPI, UART, CAN, and industrial buses.
• Implement timestamping, synchronization, calibration support, local buffering, and data validation.
• Design systems for constrained power budgets, limited memory, and intermittent connectivity.

Typical deliverablesInstrumented prototype, acquisition firmware, sensor interface documentation, and verified measurement pipeline.

SERVICE 03

Data Collection & Dataset Development

Build the evidence needed for dependable analytics and machine learning.

• Plan experiments and collection campaigns that represent expected operating conditions.
• Capture normal behavior, operating transitions, environmental variation, and fault conditions where practical.
• Establish ground truth through reference measurements, inspection, and documented labeling procedures.
• Organize, annotate, and version datasets with traceable collection metadata.
• Separate training and evaluation data to reduce leakage and test generalization across devices, sites, and time.

Typical deliverablesData collection plan, labeled datasets, data quality report, and dataset documentation.

SERVICE 04

Telemetry Pipelines & Data Infrastructure

Move operational data reliably from equipment to the systems that need it.

• Build device-to-gateway, edge-to-cloud, and on-premises telemetry pipelines.
• Integrate IoT and industrial protocols, including MQTT, CoAP, OPC UA, and Modbus.
• Implement store-and-forward delivery, retry handling, duplicate handling, and recovery after outages.
• Configure time-series storage, processing pipelines, and historical data access.
• Define data schemas, interface contracts, retention policies, and data provenance.

Typical deliverablesWorking telemetry pipeline, configured data storage, interface specifications, and recovery procedures.

SERVICE 05

Signal Processing & Sensor Analytics

Extract useful information from noisy physical measurements.

• Develop filtering, spectral analysis, FFT, event detection, and feature extraction workflows.
• Analyze vibration, acoustic, thermal, electrical, motion, and other sensor data.
• Combine sensor inputs to improve measurement quality and operating-state awareness.
• Balance sampling fidelity, processing load, bandwidth, power consumption, and storage.
• Establish statistical baselines and interpretable indicators before adding more complex models.

Typical deliverablesSignal processing software, feature extraction pipeline, analytical baselines, and measurement validation results.

SERVICE 06

Edge AI & TinyML Development

Bring useful intelligence directly to devices and gateways.

• Develop models for event recognition, classification, anomaly detection, and condition monitoring.
• Build reproducible training, evaluation, and deployment workflows.
• Integrate inference into embedded firmware and gateway applications.
• Distribute processing across devices, gateways, and centralized services according to latency, privacy, power, and connectivity requirements.
• Support local inference and offline operation where continuity matters.

Typical deliverablesTrained model, embedded inference implementation, evaluation report, and functioning hardware demonstration.

SERVICE 07

Model Optimization & Validation

Prove that an algorithm fits the hardware and performs under representative conditions.

• Measure inference latency, memory use, power consumption, and detection performance on target hardware.
• Optimize models through quantization, pruning, efficient feature extraction, and hardware acceleration.
• Evaluate false alarms, missed detections, confidence thresholds, and behavior on unfamiliar inputs.
• Test performance across equipment variations, environments, and operating states.
• Document operating limits and validate results against agreed acceptance criteria.

Typical deliverablesOptimized deployment package, hardware benchmarks, validation report, and documented operating limits.

SERVICE 08

Equipment Health & Predictive Maintenance

Turn equipment measurements into useful maintenance information.

• Develop condition indicators and establish equipment health baselines.
• Detect unusual behavior and support fault identification and troubleshooting.
• Analyze degradation trends and operating history.
• Develop failure-risk or remaining useful life estimates when sufficient data and validation support them.
• Connect findings to inspection, maintenance, and escalation workflows.

Typical deliverablesEquipment health models, alert logic, diagnostic views, and maintenance workflow integration.

SERVICE 09

Digital Twins & Process Modeling

Develop models that help teams understand assets and evaluate changes.

• Define whether the application requires a live digital representation, a physics-based simulation, a data-driven model, or a combination.
• Connect equipment telemetry to asset states and model parameters.
• Calibrate models against measured behavior.
• Explore operating scenarios, investigate performance changes, and evaluate potential improvements.
• Document assumptions, uncertainty, and the conditions under which predictions are useful.

Typical deliverablesDefined model scope, calibrated asset or process model, scenario analysis, and validation documentation.

SERVICE 10

Data Visualization & Visual Analytics

Turn complex datasets into clear visual explanations and interactive tools for exploration and decision-making.

• Choose chart types, scales, units, aggregation methods, and comparisons that accurately communicate the question being investigated.
• Create time-series plots, distributions, scatter plots, heatmaps, spectrograms, and spatial views for sensor, equipment, and operational data.
• Build interactive visualizations with filtering, zooming, linked views, drill-down, and comparisons across equipment, locations, and time periods.
• Design reusable visualization components for live dashboards, diagnostic interfaces, and historical analysis, with layouts tailored to operators, engineers, and leadership.
• Make uncertainty, missing data, anomalies, operating thresholds, and data sources visible so users can interpret results in context.
• Apply accessible color palettes, readable labels, responsive layouts, keyboard interaction, and text or table alternatives to visual information.
• Develop annotated charts, technical graphics, and visual narratives that explain findings, tradeoffs, and recommended next steps.
• Prepare publication-quality graphics and exportable visual reports for engineering documentation, presentations, and stakeholder communication.

Typical deliverablesInteractive visualizations, reusable chart components, dashboard prototypes, a visualization style guide, and annotated reports or presentation graphics.

SERVICE 11

Operational Dashboards & Decision Support

Make complex data understandable and useful to the people responsible for operations.

• Build live and historical views of equipment status, performance, trends, and events.
• Tailor interfaces to operators, technicians, engineers, and leadership.
• Present model outputs, confidence information, and diagnostic context.
• Design alerts with clear priorities and actionable next steps.
• Support local dashboards and access during internet outages where required.

Typical deliverablesOperational dashboard, alert configuration, diagnostic interfaces, and user guidance.

SERVICE 12

Industrial & Enterprise Integration

Connect monitoring and analytics to existing operational workflows.

• Integrate with SCADA systems, historians, manufacturing execution systems, enterprise applications, and maintenance management platforms.
• Develop APIs, data exports, event interfaces, and application connectors.
• Map equipment identifiers, timestamps, units, and asset hierarchies across systems.
• Route detected conditions into notifications, service workflows, or maintenance requests.
• Define authentication, error handling, and ownership at integration boundaries.

Typical deliverablesTested system connectors, API documentation, data mappings, and integrated workflows.

SERVICE 13

Fleet Monitoring & Model Lifecycle Management

Keep distributed devices and deployed models observable and maintainable.

• Monitor device availability, connectivity, resource use, and sensor health.
• Track packet loss, clock drift, calibration status, and firmware and model versions.
• Monitor changes in input data and model behavior; reassess accuracy using labeled field samples when available.
• Establish retraining, review, and release procedures.
• Implement staged firmware and model updates, compatibility checks, and rollback.

Typical deliverablesFleet monitoring views, release pipeline, version inventory, and update and rollback procedures.

SERVICE 14

Security & Data Governance

Build protection and accountability into the system lifecycle.

• Design device provisioning, identity management, authentication, and access controls.
• Implement encrypted communications and credential rotation.
• Integrate secure boot and signed firmware updates where supported by the hardware.
• Define network segmentation, logging, and vulnerability maintenance practices.
• Establish data ownership, access, retention, and privacy requirements, including treatment of sensitive audio, images, and personnel-related information.

Typical deliverablesSecurity architecture, provisioning workflow, data governance requirements, and implementation documentation.

SERVICE 15

Testing, Commissioning & Engineering Handoff

Carry the system from prototype into dependable daily operation.

• Build bench tests and hardware-in-the-loop validation workflows.
• Test connectivity loss, power interruptions, sensor failures, and recovery behavior.
• Conduct pilot deployments and site acceptance testing against agreed requirements.
• Establish backup, restoration, and operational troubleshooting procedures.
• Provide technical documentation, user training, and engineering handoff.

Typical deliverablesTest procedures and results, commissioned pilot or production installation, operating manuals, and training materials.

SERVICE 16

Ongoing Engineering & Support

Maintain performance as equipment, data, and business needs change.

• Investigate field issues and refine system behavior.
• Maintain firmware, models, dashboards, and integrations.
• Review data quality, alert effectiveness, and operational performance.
• Support additional devices, locations, and use cases.
• Provide architecture reviews, technical mentoring, and development support.

Typical deliverablesAgreed support scope, maintenance releases, performance reviews, and prioritized improvement plans.