Software Development
Web applications, corporate platforms, mobile solutions, APIs and integrations.
Learn moremySP Core develops software, engineering and AI solutions - from research and prototyping to launch, integration and scaling.
Web applications, corporate platforms, mobile solutions, APIs and integrations.
Learn moreMachine learning, computer vision, intelligent assistants, analytics and automation.
Learn moreEmbedded software, controllers, sensors, telemetry and connected devices.
Learn moreResearch, hypothesis testing, proof of concept, MVP and functional prototypes.
Learn moreOperational process automation, system integrations and less manual work.
Learn moreCloud architecture, CI/CD, containers, monitoring and scaling.
Learn moreWe combine software development, artificial intelligence, electronics and an engineering approach. This helps create systems where software and hardware work as one.
We apply AI for specific tasks: automation, pattern discovery, image processing, prediction, decision support and work with large volumes of information.
Clarify context, constraints, expectations and success criteria.
Describe features, integrations, risks and priorities.
Prepare architecture, UX/UI and technical plan.
Quickly test the key hypothesis or user scenario.
Write code, integrate systems and keep quality in focus.
Check logic, interfaces, integrations, security and accessibility.
Prepare production, release, monitoring and documentation.
Maintain and improve the product after launch.
The production site does not publish invented customer cases. These are competency areas with a prepared case structure.
Prepared as a competency category, not a customer case.
title, industry, task, solution, technologies, result, image, published, slugPrepared as a competency category, not a customer case.
title, industry, task, solution, technologies, result, image, published, slugPrepared as a competency category, not a customer case.
title, industry, task, solution, technologies, result, image, published, slugPrepared as a competency category, not a customer case.
title, industry, task, solution, technologies, result, image, published, slugPrepared as a competency category, not a customer case.
title, industry, task, solution, technologies, result, image, published, slugPrepared as a competency category, not a customer case.
title, industry, task, solution, technologies, result, image, published, slugDescribe the idea, process or problem. We will analyze the request and suggest the next practical step.
Software, AI, embedded, IoT, automation, R&D and cloud/DevOps tasks that need engineering logic and responsible execution.
Yes. A prototype or MVP can be a separate stage for testing an idea before larger investment.
Yes, when architecture, access, integrations and constraints can be safely assessed.
Yes, for applied tasks: computer vision, NLP, document processing, prediction, assistants and automation.
Yes. Embedded & IoT work connects firmware, devices, telemetry, APIs and platforms.
With a short task description, context clarification and the first practical next step.
We can work with NDAs when the terms match the collaboration format and task scope.
Yes. Support format is defined separately: monitoring, updates, fixes or product development.