What we deliver
We combine platform engineering, data engineering, software development, cybersecurity-aware architecture, and process automation. Our work spans environments that must not fail: critical infrastructure, regulated data flows, on-premise installations, and integrations with existing organisational systems.
Platform & product engineering
Web platforms, mobile and desktop applications, internal tools, dashboards, digital signage, and AI-enabled systems designed around real business processes. Built to be maintainable long after we leave.
Data & platform migrations
End-to-end migrations of data, services, and platforms, both cloud and on-premises, with full validation, integrity checks, and minimal disruption to operations. We move what matters, safely.
Maintenance, support, and legacy modernisation
Operational support, refactoring, and modernisation of legacy tools. We replace brittle, manual workflows with modern, durable systems that reduce processing time, cut costs, and lower the need for manual intervention.
Audit, reporting, and data integrity
Automated audit pipelines, reporting workflows, and data integrity verification that turn compliance into a continuous process. We build durable bridges to regulators and stakeholders with real-time, traceable output.
Data privacy and anonymisation
Privacy-by-design systems that reduce reliance on third-party vendors, automate data anonymisation, and give organisations clear, auditable control over personal and sensitive data.
Cybersecurity-aware systems
Architecture, access control, segmentation, firewall integration, and platform resilience designed in from the start. We help organisations strengthen their security posture and prepare for, and pass, regulatory audits.
AI agents and automation
AI agents, automation workflows, evaluation loops, and human-in-the-loop systems grounded in real operations. Useful AI needs engineering discipline: clear scope, evaluated behaviour, and monitored production.
Core capabilities
The areas we work in every day, across regulated, data-intensive, and operational environments.
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Platform engineering and compute workflow orchestration
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Data warehouses, reporting systems, and process analytics
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Third-party system integrations and durable data bridges
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Data and platform migrations, both cloud and on-premises
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Automated audit, reporting, and data integrity verification
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Cybersecurity-aware system design, access control, and platform resilience
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Web, mobile, desktop, and internal business applications
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Data visualization dashboards and digital signage
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On-premise deployments, documentation, training, and operational support
Selected experience and outcomes
A few of the things we have built and the results we have helped our clients deliver.
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Built a compute task distribution cluster for an AI company, introducing modern workflow isolation for a large-scale compute environment.
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Migrated over 100 million data points for critical infrastructure energy-sector organizations.
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Built durable network bridges to regulatory agencies, enabling in-process audit and reporting.
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Improved cybersecurity posture for a critical infrastructure energy-sector client by integrating industry-leading firewall solutions in front of client systems.
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Reduced visibility of selected subsystems down to individual teams, improving access control, segmentation, and operational security.
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Supported the preparation and successful completion of regulatory security audits.
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Helped prepare security posture documentation used in regulator-facing audit processes handled by external enterprise advisory firms.
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Built automated reporting pipelines that generated and distributed reports to relevant stakeholders.
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Designed data warehouses that integrated seamlessly with existing databases and supported reporting, analysis, and in-depth process review.
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Delivered data visualization dashboards and digital signage systems to improve data and process observability.
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Replaced legacy tools with modern technologies, reducing operational cost and processing time by up to tenfold while lowering the need for manual intervention.
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Improved data privacy posture by reducing reliance on third-party vendors and automating data anonymization.
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Trained client teams to use new tooling effectively and provided documentation tailored to their workspace.
How we work
Most software risk appears before the first line of code. Unclear workflows, weak data structures, hidden edge cases, vague permissions, and untested assumptions all become expensive later.
That is why our process starts with modeling. We map the data, roles, workflows, decision points, integrations, and failure cases behind the product. Once the system is understood, we scope the right features, review the security posture, and only then begin implementation.
model -> scope -> secure -> build -> improve Why clients work with us
We understand environments where reliability, data integrity, security, auditability, and continuity of operations matter.
Our team combines hands-on software delivery with experience in regulated infrastructure, critical data flows, platform resilience, and practical business process digitization. We connect fragmented systems, modernize legacy workflows, migrate critical data safely, automate reporting and verification, improve operational visibility, strengthen security posture, and build custom applications tailored to real business processes.
What we believe
Good software starts with a good model
Before implementation, we need to understand the shape of the business: the data, the users, the rules, the risks, and the process.
Scope is a product decision, not a task list
A strong product is not the one with the most features. It is the one that solves the right problem clearly.
Security belongs at the beginning
Security should influence architecture, permissions, data flows, and integrations before the system becomes difficult to change.
Modern does not mean experimental
We use modern tools, but we prefer technologies that are proven, maintainable, and appropriate for the job.
AI needs engineering discipline
AI agents are only useful when they are grounded in workflows, evaluated properly, integrated safely, and monitored in production.
Systems have to outlive the project
Delivery is not the finish line. The work must be operable, maintainable, documented, and supported, so it remains durable long after handover.
Founder-led software delivery
When you work with SOMO SQUARE, you work directly with the people responsible for the outcome. We have delivered software for regulated, data-intensive, and operationally critical environments, including critical infrastructure in the energy sector.
Tomasz
FounderTomasz leads the technical side of the company, focusing on application architecture, integrations, reliable delivery, and translating complex requirements into clear, scalable software systems. His work spans platform engineering, migrations, cybersecurity posture, and on-premise deployments.
Szczepan
FounderSzczepan leads client relations and business development, focusing on understanding client needs, shaping product direction, building long-term partnerships, and aligning software solutions with business goals, including in regulated and audit-driven environments.
Together, we combine strategic product thinking with hands-on engineering. We stay close to the work because the early decisions define the quality of everything that follows.
Have a workflow, product, or AI idea that needs structure?
Bring us the messy version: spreadsheets, internal tools, manual processes, disconnected systems, unclear requirements, a legacy platform that needs modernising, or an AI concept that needs to become useful software. We will help you turn it into a model, a scope, and a buildable system.