Independent data & AI architecture consultancy
We turn complex data estates into secure, scalable foundations—and build intelligent agents that create measurable business value.
What we build
Strategy is only useful when it ships. We architect, engineer and operationalise the full path from source systems to trusted AI products.
Enterprise-grade platforms designed for performance, governance and cost control—from landing zone and Unity Catalog to production pipelines.
Reliable agentic systems grounded in your data, with evaluation, observability and human oversight designed in from day one.
Cloud-native data estates that are secure, observable and repeatable—built to support analytics, machine learning and operational workloads.
Move models and insights beyond prototypes with pragmatic lifecycle management, automated quality controls and production monitoring.
How we work
Direct access to an architect who can move from the boardroom to the codebase—without layers of hand-off or generic playbooks.
Plan an engagement ↗Clarify the business outcome, map constraints and expose the real technical risks.
Create a pragmatic target architecture, delivery roadmap and measurable definition of done.
Build alongside your team using automated testing, infrastructure as code and engineering standards.
Transfer ownership through clear documentation, coaching and operational readiness.
Technical depth
Tools are selected around the outcome—not the other way around. Every component must earn its place in a maintainable architecture.
Independent expertise
Otus Data is led by Dr Krzysztof Przysowa, a Data & AI Platform Solution Architect who combines deep engineering experience with a practical focus on business outcomes.
Across Microsoft, specialist consultancies and enterprise programmes, Krzysztof has designed cloud data platforms, led engineering teams, delivered large-scale migrations and operationalised machine learning and GenAI systems.
Microsoft CertifiedAzure Solutions Architect Expert
Databricks CertifiedMachine Learning Professional & Associate
PhD in aerospace engineeringMachine learning, optimisation, simulation & HPC
Ways to engage
A focused assessment to turn ambiguity into a target architecture and prioritised delivery plan.
Typically 1–2 weeksHands-on architecture and engineering to move a platform, pipeline or AI product into production.
Outcome-based phasesSenior technical leadership embedded into your programme without a full-time executive hire.
Flexible monthly cadenceLet’s build what’s next
Bring the problem. We’ll bring a clear point of view and a practical route to production.
info@otus-data.co.uk ↗