Industry - Energy & Industrial

Engineering for systems where downtime is measured in megawatts, not error rates.

IoT data pipelines, time-series analytics, and predictive maintenance systems for energy and industrial operations. We build infrastructure that handles sensor volume at scale and answers operational questions in real time.

Where we help

The engineering problems we see most in energy and industrial.

These come from engagements with energy companies, industrial SaaS platforms, and OEM manufacturers who need to turn sensor data into operational intelligence.

Sensor data volume that breaks existing pipelines

IoT fleets generating gigabytes per hour. Batch pipelines built for daily summaries. The data is arriving, but nothing downstream can use it in time to act on it.

Predictive maintenance that does not predict reliably

Models trained on clean historical data that underperform on live sensor streams. Too many false positives - technicians stop trusting the alerts. Too many misses - equipment fails anyway.

Time-series infrastructure that cannot answer what is happening right now

Query latency that makes real-time dashboards impractical. Data retention policies that keep too much or too little. Downsampling that loses the anomalies you actually need to detect.

Operational data siloed from analytical systems

SCADA systems that cannot talk to your data warehouse. OT/IT integration that was promised in the procurement and never fully delivered. Engineers who cannot get data without filing a ticket.

Edge compute that is not reliable enough for operations

Models deployed at the edge that drift without retraining. Connectivity gaps that leave edge nodes making decisions on stale inference. Update rollout that requires on-site visits.

Reporting that takes days when operators need answers in minutes

Compliance reporting that is manual and error-prone. Carbon accounting workflows that require a spreadsheet and two days. Operators who cannot get the data they need without waiting for IT.

Industrial SaaS - Mid-market
Forecasting model to production: 9 months to 90 days

A pharma supply chain forecasting model had been in development for nine months. We rebuilt the pipeline with GxP-aligned validation, audit logging, and a kill-switch the QA team owns. Deployed to production in 90 days with a validation package the regulatory team accepted without revision.

GoKafkaAzure
Energy analytics - Growth
Real-time anomaly detection on 2M sensors/hour

A grid monitoring platform was processing sensor data in 4-hour batches. Operators needed 5-minute resolution to act on anomalies before they cascaded. We rebuilt the ingestion layer on a streaming architecture and shipped the anomaly detection model with configurable alert thresholds the operations team controls directly.

PythonKafkaTimescaleDBAWS
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Solar / PVIoT monitoring
Module-level PV monitoring with AI error detection — Dispatcher 2.0 compliant

A solar energy operator needed real-time visibility at individual panel level across commercial and residential PV plants — replacing costly manual fault-finding. We built SolarWatch, a multi-tenant SaaS IoT platform with AI-driven error pattern detection, real-time module telemetry, and full Dispatcher 2.0 compliance for the German grid.

PythonIoTAWSTimescaleDB
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Energy analyticsData infrastructure
2× faster data processing — 60% faster access to long-term energy reports

A legacy energy analytics system was too slow for operational use — multi-minute load times for historical datasets, sluggish dashboards, and a codebase that blocked new feature development. We replaced it with a modern web platform: 2× faster data processing, 60% faster report access, and 30–50% improvement in dashboard interaction speed.

PythonReactPostgreSQLAWS
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AIHydrogen & renewables
Information retrieval from hours to seconds — 85% faster technical analysis

A hydrogen and renewable energy company's technical teams were spending hours searching across regulations, engineering specs, and project documents to answer routine questions. We built a multi-agent RAG system with rigorous hallucination controls — cutting retrieval from hours to seconds, enabling 85% faster analysis, and surfacing insights locked in PDF and image-embedded documents.

PythonLangChainOpenAIAWS
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System types

What we build for energy and industrial teams.

These are the categories of operational systems we build most often. Most start with a Product Pilot to validate the architecture before committing to a full build - especially important for systems where data quality is uncertain.

Learn about Product Pilot ->
  • IoT data pipelines and real-time event streaming
  • Time-series databases and analytics (InfluxDB, TimescaleDB)
  • Predictive maintenance ML with live sensor feeds
  • SCADA and OT/IT integration
  • Edge compute and model deployment at the field
  • Energy analytics and operational dashboards
  • Carbon accounting and ESG data infrastructure
  • Anomaly detection for industrial systems
Client feedback

What clients say about working with us.

We brought Insoftex in after our second failed attempt at productionising the model. In six weeks they rebuilt the inference layer, instrumented it properly, and gave us an eval harness our own team could extend. They told us no twice during the engagement — both times they were right.
Jonathan Langley

Jonathan Langley

CTO · Azarc · UK

We're very happy with the outcome and already looking ahead to the next phase. What stood out most was Insoftex's strong sense of ownership, transparent and fast communication, and ability to think beyond the initial scope to continuously add value. From day one, they supported us in shaping the product vision, through to delivering a high-quality MVP. The result is a robust platform that enables customers to easily book advertising placements and effectively drive visibility and sales. A reliable and forward-thinking partner.
Fei Cheong

Fei Cheong

General Manager · US

We had a great experience working with the Insoftex team. They played an important role in delivering a modern application for power quality and energy generation analytics, owning both front-end development and automated QA. They built a flexible, user-centric dashboard with configurable widgets, making it easy to analyze data across devices, parameters, and time ranges. Insoftex combines strong technical expertise with a clear focus on quality and delivery. A reliable partner I'd confidently recommend.
Shimon Yannay

Shimon Yannay

Head of Software Development · Israel

Collaborating with Insoftex on our healthcare project proved to be transformative. Their team skillfully re-architected our platform based on comprehensive feedback, delivering exceptional results. They effectively addressed complex challenges while maintaining a strong emphasis on quality and precision. We look forward to continuing our partnership and highly recommend Insoftex to anyone seeking innovative, high-quality solutions.
Dmitry Shteyn

Dmitry Shteyn

CTO · VURVhealth · USA

Working with Insoftex on the social engagement platform, The Club of Names, was both productive and inspiring. They were involved far beyond development — they helped shape the product's concept and actively contributed ideas that strengthened its core functionality. Together, we built a platform that provides information about names, generates personalized articles, helps users select baby names, and includes a social feature — a chat for people with the same name to connect.
Jason Walker

Jason Walker

CEO · JWALKER Marketing · USA

I am happy to share my experience with Insoftex. They made for us a custom .NET application, and it is working very well! It fits perfectly with our needs, and the team did an excellent job integrating it within our local network. Their communication with Azure was seamless, and their professionalism made a big difference. We are pleased with the result and can highly recommend Insoftex for their dedication to quality work!
Thomas Marquardt

Thomas Marquardt

CEO · Marquardt Informatik · Germany

We are delighted to acknowledge that Insoftex skillfully programmed our frontend using React, meticulously bringing our design to life. Their adherence to our timelines and effective communication ensured a seamless and productive collaboration.
Ingmar Kruse

Ingmar Kruse

CEO · Sun Sniffer · Germany

This has been an amazing experience working with Insoftex, between the communication, the collaboration, and commitment to delivering results it has exceeded our hopes.
Madison Pratt

Madison Pratt

CTO · DLTChain · Canada

They don't do standard, off-the-shelf products. Rather, they keep their eyes on the market for the newest trends.
Chad Taylor

Chad Taylor

CEO · Hudson INC · USA

Insoftex's work quality surpassed my expectations. You are fantastic partners.
Emmie Reese

Emmie Reese

CEO · EpicFlow · USA

Insoftex team have been professional and enthusiastic. The team was always available (even during US-hours). Great job!
Andrew Wilson

Andrew Wilson

CTO · Stealth Startup · USA

Building operational data infrastructure that has to work?

Book a 30-minute technical call. Bring your sensor volume, your latency requirements, and what the operations team is asking for that they cannot get today.

Book a 30-min technical call

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