HPC & cluster design
Sizing, architecture and deployment of compute clusters: Slurm scheduling, high-speed interconnects, storage and monitoring.
Artificial Intelligence
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Technologies
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LLM integration
Custom assistants and copilots built on GPT, Claude, Gemini or open-source models.
RAG systems
Retrieval-augmented generation over your documents, with citations and fresh knowledge.
AI agents
Tool-using agents that automate multi-step workflows under human supervision.
Fine-tuning
Domain-adapted models trained on your data when prompting is not enough.
AI strategy & audits
Use-case discovery, feasibility studies and readiness assessments for AI adoption.
Security & governance
Prompt-injection defenses, access control, evaluation harnesses and responsible-AI policies.
Typical use cases
Internal knowledge assistant grounded in company documents
Customer-support copilot with human handoff
Automation of multi-step processes with supervised AI agents
Hardware
Hardware solutions, designed and implemented
From datacenter accelerators to edge devices, we build the hardware layer that puts AI into production.
NVIDIA & AMD accelerators
GPU infrastructure across the CUDA/TensorRT and ROCm ecosystems: selection, drivers, virtualization, orchestration and cost optimization.
Edge AI
On-device intelligence with Google Coral and NVIDIA Jetson: model quantization (TensorRT, ONNX, TFLite), power budgets and fleet deployment.
Training & enablement
Training delivery is a transversal activity across all our practice areas — every engagement can include knowledge transfer.
AI & GenAI training
From prompt engineering to RAG architecture and responsible AI: training for developers, product teams and leadership.
Formats: workshops, custom programs, executive briefings and coaching — delivered on-site or remote, in English or Spanish.
Frequently asked questions
Is our data safe when using LLMs?
We design deployments where your data stays inside your tenant or private infrastructure, with enterprise agreements that prevent training on your data.
How do we start with AI if we're early in the journey?
With a short AI readiness assessment: we identify two or three high-value, feasible use cases and a 90-day plan for the first one.
Ready to unlock the value of your data?
Tell us about your challenge. We'll come back within one business day with a first assessment.
Discuss this area with us