Services
Artificial Intelligence, engineered for production.
AI engineers who take systems from prototype to operation, in regulated, mission-critical and high-complexity contexts.
Approach
Production-first, or it doesn't count.
We've worked with teams that need to design, integrate or consolidate AI inside their products and processes. An algorithm only matters if it's reliable, scalable, maintainable in operation, and if it returns more than it costs.
No demo that never ships. No model that degrades silently three months in. We build, we monitor, and we own the outcome with the client.
01 · Areas of competence
Where we work.
Select an area to see what we do in it.
Multi-agent systems and end-to-end RAG applications in production. Fine-tuning of LLMs and embeddings on domain, evaluation frameworks and continuous monitoring.
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02 · Sector experience
Domains we've shipped in.
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01
Retail, E-commerce & GDO
Conversational assistants, proprietary ranking, personalisation, native e-commerce integrations.
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02
Banking & Financial Services
Regulated-domain RAG agents in operation; domain-specific fine-tuning, evaluation and monitoring.
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03
Manufacturing & Automation
Machine vision, real-time process control, industrial metrology, laser welding optimization.
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04
Energy & Turbomachinery
Generative AI for the design of industrial components; models validated in the field under operating conditions.
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05
Heavy industry & Steelmaking
Forecasting and anomaly detection on time-series in continuous-production environments.
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06
Subsea, Marine & Medical
Neural rendering for 3D reconstruction of seabeds and underwater equipment; ML for naval and medical applications.
03 · Track record
What we've taken to operation.
Concrete outcomes shipped by the team: across domains, across clients, across the prototype-to-production divide.
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Banking
Multi-agent RAG
Regulated-banking agent serving thousands of end users daily, with fine-tuned domain models, evaluation and continuous monitoring.
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Industry
Production ML
Computer vision, time-series and audio models running at enterprise clients: classification, anomaly detection, predictive maintenance.
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Platforms
PoC → Product
AI-native platforms scaled from prototype to product: conversational assistants on high-traffic public sites, generative design platforms, industrial AI for IoT.
04 · How we engage
Four ways we work together.
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01 · Proof of Concept & validation
Feasibility studies and targeted PoCs to validate a technical approach before committing to extended development.
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02 · End-to-end development
From PoC to product in operation: architecture, models, backend, integrations. One team owning the full delivery.
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03 · Integration
Embedding LLMs, agents and RAG systems into existing, operational products, without a rebuild.
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04 · Advisory & roadmap
Strategic support on AI architecture choices and delivery priorities, for leaders navigating what to build and when.
Have a project in mind?
Tell us what you're trying to put into production. We'll tell you how we'd approach it.