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Data Modernisation
Are migrating from legacy systems to modern cloud-native architectures.
- Data Lake
- Cloud Migration
- Modernization
Built for faster decisions., AI in production., controlled scale.
Our Data and AI consulting in Portugal connects data platforms, applied AI and model operations in a secure, governed and production-ready lifecycle.
Ideal Customer Profile
We work with companies looking to turn data into competitive advantage. If one of these scenarios sounds familiar, that is probably where the conversation starts.
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Are migrating from legacy systems to modern cloud-native architectures.
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Need to unify multiple data sources into a coherent ecosystem.
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Want to operationalise machine learning models with scale and reliability.
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Intend to apply generative AI to concrete use cases, with measurable business impact.
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Require robust governance and regulatory compliance over their data.
Ideal Customer Profile
Describe the scenario — the starting point, the systems involved and what needs to change. We reply with a reading of the problem and the first step that would make sense.
Let’s talkOur pillars
Specialised services covering the full lifecycle of data and artificial intelligence — from the platform that supports them to the operation that keeps them in production.
On AI solutions, the scope is always a defined use case, with human oversight where a decision carries consequence. We publish no model-accuracy guarantees and no ROI figures — the impact depends on each organisation’s data and starting point, and that is what we assess first.
Modern data architectures, scalable pipelines and cloud-first integration to support critical decisions.
We build the solid base that lets analytics and artificial intelligence scale with confidence.
Includes
Profiles involved
Typical stack
Predictive models, intelligent automation and generative AI solutions applied to real business problems.
We turn data into automated decisions and actionable insights.
Includes
Profiles involved
Typical stack
We put models into production with continuous monitoring, performance control and scalability.
Because a model only generates value when it is in production.
Includes
Profiles involved
Typical stack
Our team
A multidisciplinary data and AI team, composed according to the project — each profile covers one part of the lifecycle, and a project rarely needs just one.
Building and maintaining scalable pipelines and data infrastructure.
Skills
Developing predictive models and advanced analysis.
Skills
Implementing and optimising models in production environments.
Skills
Automating deployment, monitoring and scalability.
Skills
We find the right talent for your Data & AI project — a single profile or the full team.
If what you need is to reinforce your own team with specialists under your management, see also IT Skills & Talent
Engagement models
Flexible models, adapted to the needs, objectives and scope of each project — from reinforcing one profile to a full team with a closed scope.
Continuous work
Dedicated engineers for flexible technical reinforcement
Flexible, on-demand expertise for project-based work, temporary capacity expansion or workload peaks.
Continuous work
A multidisciplinary team with a predictable budget and defined SLAs
A complete solution for continuous work that requires multiple technical profiles, continuous improvement and long-term involvement.
Closed scope
Projects with clearly defined scope, timeline and deliverables
Complete solutions for projects with a well-defined scope, MVPs, proofs of concept and initiatives with a specific budget.
Service levels are defined in each agreement — we publish no standard SLA values or prices. We do not mark one model as recommended by default: the choice depends on scope, the existing team and the horizon of the work, and it is part of the initial conversation.