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Energy Software Development

Energy software
built for the field.

SCADA systems, predictive maintenance, IoT sensor integration, compliance dashboards. Built for oil, gas, and renewable energy.

★★★★★4.9/5 · 30+ clients·50+ shipped
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Afnexis Results

Real production numbers

20+

energy systems shipped

in production

35%

downtime reduction avg

predictive maintenance

4.9/5

client rating

30+ clients

SCADA + IoT

core stack

field-ready

WHAT WE BUILD

What we build for energy companies

SCADA & Control Systems

Integration layers for existing SCADA vendors via OPC-UA and Modbus. We normalize data across systems and build a unified ops dashboard. No rip-and-replace required.

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Predictive Maintenance AI

ML models on time-series sensor data from pumps, compressors, and rotating equipment. We predict failure windows 48-72 hours out. Built on Python and InfluxDB.

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IoT Sensor Integration

Data pipelines for remote field assets via MQTT and AWS IoT Core. Edge buffering handles intermittent satellite and cellular backhaul. No readings lost.

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Compliance & Safety Dashboards

ISO 55001, API RP 1173, and EPA reporting built into the platform. Automated audit trails and safety alerts. Compliance becomes a byproduct of normal ops.

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Asset Management Software

Full asset lifecycle tracking with maintenance scheduling and performance history. Connects to your existing CMMS or replaces it. Integrates with SAP and Oracle.

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Renewable Energy Monitoring

Generation tracking for solar and wind across multiple sites. Weather API integration for forecasting. Automated grid operator reports and inverter health alerts.

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By Muhammad Aashir Tariq · CEO & Head of AI, Afnexis · Updated April 2026

REAL RESULTS

Numbers from real deployments.

35%

avg downtime reduction

vs reactive maintenance

$200K+

annual savings avg

prevented shutdowns

4.9/5

client rating

30+ clients

500+

sensors monitored

per deployment

"Predictive maintenance cut our unplanned downtime by 40% in the first year. Afnexis built the ML pipeline on our existing sensor history. We didn't need a data science team."

O

Operations Director · Energy Company · Middle East

HOW IT WORKS

From call to production in weeks.

1

Field Audit

We map your existing sensors, SCADA systems, and data flows. We identify gaps before writing a line of code.

2

Build & Integrate

We build the integration layer, ML models, and dashboards. Parallel to your live operations. No production downtime.

3

Deploy On-Site

Phased rollout starting with one facility or asset class. We validate predictions against real outcomes before full deployment.

PRICING

Fixed price. No surprises.

Ranges from 50+ real projects. Milestone billing. No retainers.

Project TypeWhat's IncludedTimelineStarting At
IoT DashboardSensor ingestion, Grafana dashboards, alerting3-5 weeks$15K
Predictive MaintenanceML models, failure prediction, maintenance scheduling5-8 weeks$30K
SCADA IntegrationOPC-UA/Modbus integration, unified ops dashboard8-14 weeks$60K
Full Energy PlatformAsset management, IoT, AI, compliance, reporting14-22 weeks$120K

FAQ

Quick answers.

How secure are SCADA integrations?

We build integration layers that don't touch your control network directly. Data flows one-way from SCADA to the analytics layer via OPC-UA with read-only access. Air-gapped and DMZ architectures are both supported.

Can your systems work offline at remote sites?

Yes. We use edge computing with local buffering via MQTT so sensor data queues during connectivity loss and syncs when the link restores. We've deployed this on satellite-connected sites in the Middle East.

What compliance standards do you build for?

ISO 55001 for asset management, API RP 1173 for pipeline safety, ISO 45001 for safety management, and EPA reporting requirements. We build compliance tracking and automated audit trails into the platform from the start.

How accurate is AI-based predictive maintenance?

Accuracy depends on sensor data quality and history. With 12+ months of good sensor data, our models hit 85-92% accuracy on failure prediction. We validate predictions against real outcomes during the rollout phase before going live.

READY TO START?

Let's build your first agent.

30-min call. No pitch. We map the workflow and quote it.