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Aiiia

Our services

From infrastructure to production

We master the complete AI value chain through four engineering disciplines. Engage us for an end-to-end rollout, or plug our expertise into a specific layer of your existing stack.

IT infrastructure

An AI system is only as good as the infrastructure carrying it. We design and operate secure cloud foundations, sized for your actual compute needs rather than for a catalogue.

  • Cloud architecture & migration

    Bridging legacy on-premise systems with scalable cloud environments (AWS, Azure, GCP) tailored for heavy compute.

  • Data pipelines & ETL

    Turning raw, scattered enterprise data into clean, automated pipelines ready for AI consumption.

  • Secure AI networking & Zero Trust

    Virtual private clouds, strict data segmentation and encryption, so sensitive data never leaks to an external model.

  • Infrastructure as Code

    Terraform-driven deployments: systems that are reproducible, version-controlled and never dependent on a fragile manual setup.

  • FinOps & rightsizing

    Architecting for your real inference and training load, so cloud compute costs do not spiral out of control.

AI-native development

We build solutions where artificial intelligence is structural from the first design decision. The result is a system you own, documented and ready for another team to take over.

  • Retrieval-Augmented Generation (RAG)

    Securely connecting advanced language models to your knowledge bases, PDFs and internal wikis, without exposing anything to the public internet.

  • Agentic workflows & automation

    Beyond chatbots: agents that execute business logic, trigger APIs and update your CRM autonomously.

  • Model fine-tuning & local AI

    Adapting open-source models such as Mistral or DeepSeek to your industry vocabulary, hosted entirely inside your secure environment.

  • Breaking down data silos

    Consolidating fragmented data from scattered tools and legacy databases into a single queryable asset.

  • Production observability

    MLOps to monitor your AI in real time: model drift, latency and accuracy once the system is live.

AI integration

Many companies already use generative AI, often on personal accounts and without a framework. We industrialize that usage: professional licensing, controlled data boundaries, trained teams.

  • Taming shadow AI

    Moving your teams off unmonitored personal accounts and onto enterprise-grade, compliant AI environments with strict data boundaries.

  • Enterprise LLM gateways

    Managing access, rate limits and billing across several frontier models (OpenAI, Anthropic, Gemini) through a single secure hub.

  • Role-based access control (RBAC)

    Integrations that respect your internal permissions: the AI only retrieves documents the user is authorized to see.

  • Agnostic architecture, no lock-in

    Structuring the integration so you can swap the underlying model as the technology evolves.

  • Change management & enablement

    Training your teams on effective prompting, AI limitations and security protocols, turning casual users into power users.

Advisory

We step in before the need has even been articulated. Many organizations know they must evolve without knowing where to begin. Our job is to turn that instinct into a trajectory.

  • Escaping pilot purgatory

    Auditing stalled, lab-environment proofs of concept and mapping the exact technical steps required to make them production-ready.

  • The buy vs. build assessment

    Objective, vendor-neutral analysis of whether to integrate an off-the-shelf product or build a proprietary AI asset.

  • Risk & compliance mapping

    Anticipating AI Act requirements, GDPR implications and intellectual property risks before a single line of code is written.

  • Phased rollout roadmaps

    Costed, sequenced strategies that deliver immediate business value while funding the long-term transformation.

  • Technical rescues & vendor audits

    Evaluating third-party technical proposals on your behalf, or stepping in to audit and rescue a failing AI architecture.

Not sure where to begin?

It is the most common reality in enterprise AI today, and exactly where our advisory practice steps in. Let us map your trajectory.

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