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AI Agency Europe

Enterprise AI Solutionsfor the European Market.

Symilars delivers cutting-edge Artificial Intelligence and Machine Learning solutions compliant with EU standards. We help European businesses automate and innovate.

EU FocusedGDPR CompliantCustom LLMs

AI Innovation

EU Compliant

Como trabalhamos

Seguimos um processo comprovado para entregar software de alta qualidade que atenda aos seus objetivos de negócios.

Why Partner with Symilars for AI?

We combine deep technical expertise with a strong understanding of the European regulatory landscape.

Data Sovereignty

We design architectures that keep processing and storage inside the EU/EEA where required, with data processing agreements and sub-processor lists ready for your legal review.

Advanced NLP

Our language models are evaluated across the major EU languages, not just English, so accuracy holds up for German, French, Spanish, Italian, and Nordic-language use cases.

Scalable Infrastructure

Cloud-native architecture that starts lean for a pilot and scales to production traffic without a rebuild, so your first AI feature and your hundredth run on the same foundation.

How We Approach AI Compliance in Europe

EU AI Act risk classification

Before we write a line of code, we classify the intended use case against the EU AI Act's risk tiers (minimal, limited, high, and unacceptable risk). This determines what documentation, human oversight, and transparency obligations apply, so compliance is designed in from day one rather than retrofitted before a launch deadline.

GDPR-aligned data processing

We work under Article 28 data processing agreements, minimize the personal data that touches any model or vector store, and document sub-processors so your DPO or legal team can review the full data flow before anything goes into production.

Multilingual by default

A model that performs well in English often degrades in German compound nouns, French formal/informal register, or Nordic languages with smaller training corpora. We test retrieval and generation quality per target language before rollout, not just per feature.

Deployment options

Depending on your sector and risk tolerance, we deploy on EU-region cloud infrastructure, self-hosted open-weight models for sensitive workloads, or a hybrid setup that keeps regulated data on-prem while using managed APIs for lower-risk tasks.

Europe AI FAQ

Common Questions

Details about our AI services in Europe.

We build under Article 28 data processing agreements, minimize personal data exposure to any model or vector store, and document every sub-processor in the pipeline. For EU AI Act purposes, we classify each use case by risk tier up front so the right documentation and human oversight controls are in place before launch, not after a regulator asks for them.

Custom LLM integration (retrieval-augmented generation, fine-tuning, and agent workflows), predictive analytics on operational data, computer vision for inspection and automation use cases, and process automation that connects AI outputs to your existing ERP, CRM, or ticketing systems. Each engagement starts with a scoped discovery phase before any build work.

Yes. Our team overlaps with CET/CEST business hours for standups, reviews, and incident response, and we hand off async documentation so decisions don’t stall waiting for a single time zone to wake up.

Yes. Most European enterprise clients have systems that predate cloud-native architecture. We integrate through existing APIs, message queues, or database replication where a direct API isn’t available, and we design the AI layer so it can be rolled back without touching the legacy system underneath it.

A scoped pilot (one workflow, one model, clear success metrics) typically runs 4–8 weeks. Production rollout with monitoring, human-in-the-loop review, and documentation for compliance review adds another 4–12 weeks depending on the risk tier and integration complexity.

Yes. Depending on your sector and data sensitivity, we deploy on EU-region cloud infrastructure, self-hosted open-weight models for regulated workloads, or a hybrid setup that keeps sensitive data on-prem while routing lower-risk tasks through managed APIs.