For teams running Python across engineering software, automation, and AI
Soliton's Python practice is built on a foundation of engineering software experience: 25+ years building software for test, validation, R&D, and instrumentation. We design and build modern Python applications, data and automation pipelines, ML and AI services, and engineering frameworks for teams who need Python work delivered at the quality bar engineering software demands. New builds, modernization, and standardization across product lines.
Services We Provide
Web Application Development
Data Science and Analytics
Python API Development and Integration
Machine Learning and Artificial Intelligence Solutions
Cloud-based Python Application Development
IoT Application Development
Prototyping and MVP Development – Test Automation
Python Migration Services
Python Desktop GUI Development
Python Enterprise App Development
Python Consulting Services
What We Build in Python
Firmware and System Validation Frameworks
Modern, Python-based frameworks for firmware, system, and hardware-in-the-loop validation.
We build driver layers, DUT communication, automated regression testing, and the scalable architecture that turns ad-hoc scripts into a maintainable framework.
We've helped global semiconductor leaders revamp Python validation frameworks with instrument drivers, device drivers for DUT communication, and automated regression testing, reducing manual effort and accelerating time-to-market.
Package Mechanical Analysis Workflow Automation
Automating the repetitive engineering work that slows teams down: design analysis, FMEA, simulation orchestration, and data capture.
We free engineers from manual cycles and improve server and resource utilization across product programs.
We've automated FMEA workflows and mechanical analysis pipelines for product engineering teams, capturing structured data and reports, improving simulation server utilization, and reducing the engineering skill ceiling for new team onboarding.
Test Automation Workflow
Python-based test automation for hardware-in-the-loop testing, parameter measurement, and data logging.
We build the driver layers, measurement modules, and reusable components that turn test execution into a maintainable, scriptable process.
We've built test automation frameworks where Python is the primary language, with driver functions for hardware control, modules for numeric and waveform measurement, reusable components for repetitive validation work, and data loggers for both live and detailed runs.
What We Build in Python
Firmware and System Validation Frameworks
Modern, Python-based frameworks for firmware, system, and hardware-in-the-loop validation.
We build driver layers, DUT communication, automated regression testing, and the scalable architecture that turns ad-hoc scripts into a maintainable framework.
We've helped global semiconductor leaders revamp Python validation frameworks with instrument drivers, device drivers for DUT communication, and automated regression testing, reducing manual effort and accelerating time-to-market.
Package Mechanical Analysis Workflow Automation
Automating the repetitive engineering work that slows teams down: design analysis, FMEA, simulation orchestration, and data capture.
We free engineers from manual cycles and improve server and resource utilization across product programs.
We've automated FMEA workflows and mechanical analysis pipelines for product engineering teams, capturing structured data and reports, improving simulation server utilization, and reducing the engineering skill ceiling for new team onboarding.
Test Automation Workflow
Python-based test automation for hardware-in-the-loop testing, parameter measurement, and data logging.
We build the driver layers, measurement modules, and reusable components that turn test execution into a maintainable, scriptable process.
We've built test automation frameworks where Python is the primary language, with driver functions for hardware control, modules for numeric and waveform measurement, reusable components for repetitive validation work, and data loggers for both live and detailed runs.
Technology
When Python Is the Right Choice for Engineering Software
Python is particularly strong for the engineering software problems Soliton's customers bring most often. It's the natural choice for hardware-in-the-loop test frameworks, where its instrument and measurement library ecosystem matters. It's how engineering teams automate the repetitive work — design analysis, FMEA, simulation orchestration — that slows their programs down. It's the de facto language for ML pipelines, model serving, and increasingly agentic AI inside engineering software. And it handles the data engineering teams actually work with: test results, waveforms, telemetry, sensor streams.
