WHAT WE DO
Two specialisms with a needle-sharp focus on Data & AI
No matter where you are on your data and AI journey, we build solutions that bring real value — not bulky, one-size-fits-all deliveries.
We navigate seamlessly from business outcomes to working systems through continuous discovery.
SPECIALISM
Industrial Intelligence
Industrial operations drown in data, yet little of it reaches the people who can act in time. Equipment fails without warning, and critical decisions wait on yesterday’s reports.
We bring the domain knowledge to isolate the signals that matter and the engineering experience to build systems that hold up under real load.
SPECIALISM
Regulated Environments
Defence and security, financial services, healthcare, and energy — in these sectors, a system that merely works is not enough. It must be secure by default, auditable, and trustworthy under scrutiny, with sensitive data kept entirely under your control.
We bring a proven track record of delivery in highly regulated sectors to meet your critical requirements.
Intelligent Digital Products
Build modern digital applications and services that work smarter and deliver an exceptional customer experience. We handle end-to-end delivery — from identifying user needs and defining a scalable architecture to engineering secure solutions that grow your business — with data and AI capabilities embedded at the core.
Secure Delivery for Defence
We deliver mission-critical solutions across highly regulated sectors, including financial services, healthcare, and energy. Defence and security demand this exact same discipline: secure delivery for sensitive or classified-adjacent work, total data sovereignty, and a cleared, senior Finnish team operating within your time zone.
AI-Ready Data Capabilities
Build a robust foundation for your data and AI assets to scale. We adapt the technology to fit your specific needs — not the other way around. Whether you need to ingest data from legacy systems in batches or build real-time streaming pipelines, we deliver modern data platforms to run AI/ML models at scale.
WHY CLOUDAMITE
Business outcome first, always
We start with what needs to improve and why. The business problem defines the solution — not the technology stack. Every engagement begins with a structured discovery of your most valuable opportunities.
HOW WE ENGAGE
Our Three-Phase Engagement Model
We run this process continuously — revisiting the opportunity space every two weeks, testing assumptions, and shipping working increments through our Opportunity Solution Tree.
01
Discovery Phase
OST Workshop & Roadmap. Structured discovery to define and own your desired outcome. Map out the opportunities worth pursuing — before you spend money on development.
- Stakeholder interviews and data quality audits
- Opportunity Solution Tree with prioritized use cases
- Three scoped and effort-estimated solution options
- Fixed price — typically two weeks end-to-end
02
Implementation Sprints
Autonomous Delivery Squad. A High-performing team of architects, engineers, and QA professionals takes end-to-end accountability. You buy the outcome, not the hours.
- Dedicated squad matched perfectly to your assignment
- Two-week sprints delivering working increments
- Data, ML/AI, and full-stack capabilities from a single team
- Transparent impact metrics delivered every sprint
03
Managed Outcome
Continuous Optimization & Support. Once live, we shift to a managed model focused on monitoring, model retraining, feature iterations, and quarterly OST reviews. One long-term, trusted partner for you.
- SLA-backed monitoring and incident response
- Continuous model retraining and engineering improvements
- Quarterly OST reviews to reprioritize as your business grows
- Business impact reporting instead of ticket counts
HOW WE ENGAGE
Advisory & Coaching
Not every engagement starts with a build. Sometimes you need a straight answer on where to invest. Sometimes you need a senior in the room while your own strategy work takes shape. Sometimes you need your team to be able to do it without us next time.
Three ways to work with us — advise, embed, coach — across both specialisms. The same people who deliver our production systems are the ones who advise and coach, so theory never drifts from practice. Your expert is named and introduced before you sign.
STRATEGY & LEADERSHIP
- Data & AI Strategy & Vision: Long-term target state, strategic priorities and a high-level roadmap. Reasoned hypotheses about where this is going — and a challenge to the assumptions you hold today.
- Technology Leadership & AI Governance: Sparring for technology leadership, tied to value creation. In regulated sectors: auditability, data sovereignty and risk.
- AI Operating Model & Use-Case Portfolio: Identifying, valuing and prioritising AI opportunities at group level. The governance model, the boundaries of responsible AI, and measuring the benefit as adoption happens — not a year later.
DATA & PLATFORM
- AI Readiness & Data Foundation: Where your data and platform actually stand, what to fix first, and a prioritised roadmap before you commit budget.
- Data Governance, Metadata & AI-Ready Data: Discoverability, meaning and documentation: metadata, catalogues, semantics and ownership — maintained as automatically as possible, for people and for AI alike.
- Platform Strategy & TCO Assessment: An independent platform decision: options compared on multi-year TCO, build and run complexity, and the impact on engineers, analysts and business users. A decision-ready recommendation for leadership, genuinely vendor-neutral.
- Data Platform & Data Mesh: Platform choices, data product ownership, and governed access that scales beyond a single product scope.
- Platform & Engineering Enablement: Cloud architecture, infrastructure as code, CI/CD practice, and the operating model around them.
AI IN PRODUCTION
- MLOps & Production ML: Getting models into production and keeping them there: CI/CD, monitoring, retraining, and holding up under real load.
- GenAI, RAG & Agents: Unstructured data and context, natural-language access to data, and a straight answer on when an agentic solution is justified and when it is not.
- AI-Native Engineering Enablement: Getting GenAI tools actually used in delivery teams: workflow redesign, practices that stick, and productivity measured. Work happens against your own epics and backlog — not in a training room.
- Smart Maintenance & Industrial AI: What delivers value before any model exists, when condition-based and predictive maintenance are justified, and how to prove the impact.
Not sure which option fits? Start with a 30-minute call. Free, and it commits you to nothing. Let’s connect
