Strategic AI deployment, custom neural networks, MCP servers and intelligent automation for your business.
Artificial intelligence is no longer a future promise: it is a productivity tool available today. We help companies deploy AI safely, strategically and aligned with business objectives, without relying on external providers or inflated subscriptions.
We design custom solutions: from training specialised models to integrating AI capabilities into your existing systems, including MCP server infrastructure and long-term memory architectures.
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We analyse your organisation, processes and data to design a realistic, secure and measurable AI adoption plan. We define high-impact use cases, assess risks and establish a roadmap with clear ROI.
We train machine learning models and deep neural networks with your own data. From classification and prediction models to transformer architectures adapted to your specific domain.
We develop and implement MCP (Model Context Protocol) servers to connect your internal systems with language models. Native integration with databases, APIs, file systems and corporate tools.
We design vector and persistent memory architectures that allow your AI systems to remember context, conversations and business knowledge over time, improving the coherence and usefulness of responses. As an example, you can easily have a knowledge base system using Qdrant and LightRAG.
We incorporate calls to AI models (LLMs, vision, embeddings) directly into your current workflows. Document automation, intelligent classification, report generation and real-time assistance.
We create AI skills for the management and operation of your IT infrastructure. From automatic incident diagnosis to assisted deployment and resource optimisation, reducing human intervention time.
DORA (Digital Operational Resilience Act) requires financial entities to manage ICT risk, report incidents and test resilience. We train neural networks on your infrastructure data to detect attack patterns in real time, accelerate incident response and strengthen supply-chain monitoring.
We deploy on-demand CPU and GPU clusters — including Vast AI and cloud providers — to run large-scale distributed backtesting. We validate the performance, stability and cost of your neural network or LLM models before production deployment, reducing risk and optimising resources.