Industrial data platforms
Design and build scalable platforms that collect, store and model industrial data securely and reliably.
Industrial data systems / custom software
Industrial data systems and custom software for operations, monitoring and predictive maintenance
We build practical data platforms, telemetry backends and operational software for industrial and technical environments.
What we do
Telemetry and monitoring
Real-time telemetry pipelines and monitoring solutions that give teams visibility into what matters most.
Predictive maintenance
Turn data into practical signals that help predict faults, reduce downtime and extend asset life.
Custom backend engineering
Robust, maintainable backend systems and APIs tailored to operational and product needs.
Selected focus areas
Predictive maintenance
Telemetry backends
Monitoring platforms
Data integration
Operational tooling
Industrial APIs
Capabilities
We work across the boundary between software, data and physical systems. Our strength is in combining these areas when the problem does not fit neatly into a single technology domain.
Systems Architecture
End-to-end architecture for systems combining software, data, infrastructure, integrations and operational constraints.
Backend & Integrations
Backend services, APIs, data acquisition, system integration and software connecting existing tools, devices and platforms.
Data Engineering & Analytics
Data ingestion, transformation, validation and analysis — from raw operational data to information that can support real decisions.
Applied Machine Learning
Anomaly detection, predictive maintenance, forecasting, classification and other models designed around measurable operational outcomes.
Embedded, IoT & Telemetry
Sensors, field devices, telemetry, edge components and communication with real-world systems and equipment.
Cloud, DevOps & Cybersecurity
Cloud-native platforms, containerization, Kubernetes, deployment automation, observability and secure system architecture.
How we work
1
Understand the problem
We learn the operational context, constraints and goals before choosing a technical direction.
2
Build a focused proof of concept
We build a small, targeted solution to test the right approach with limited risk.
3
Validate in practice
We use real data and real users to iterate, measure and make the solution useful.
4
Turn it into a robust solution
We scale, harden and hand over a system built for dependable long-term use.
Who we work with
Industrial teams
Engineering and operations teams running critical assets and systems.
Manufacturing environments
Plants and facilities looking to improve visibility and performance.
Technical product organizations
Product and engineering teams building data-driven products and platforms.
Operations and monitoring use cases
Teams focused on uptime, reliability, efficiency and continuous improvement.
About
Data Systems is a small engineering company focused on practical data and software solutions for technical and industrial environments. We combine strong backend engineering with a pragmatic understanding of operations, monitoring and product delivery.
PragmaticTechnicalProduct-minded
Contact
Tell us what problem you are trying to solve. We will come back with a practical next step.
Email uscontact@data-systems.tech