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ExpertiseUpdated on 3 February 2026

AI Services for Distributed Systems

Head of innovation at UST

Barcelona / Madrid, Spain

About

AI Services for Distributed Systems

UST provides expert AI services spanning edge, cloud, and HPC, bridging research from Stanford/MIT to industrial deployment.

Capabilities:

  • Research & academic partnerships: translating lab innovations into production-ready AI systems

  • Platforms & accelerators: AlphaAI Launchpad / Agentic AI Factory for multi-cloud LLM deployment, CodeCrafter for code intelligence, ResponsibleRails for governance (ISO 42001/NIST AI RMF)

  • Industrial demonstrators: document AI, RAG, agentic automation, long-context reasoning in retail, finance, healthcare

Research & innovation focus:

  • Distributed LLM orchestration: policy-aware query routing across edge/cloud/HPC based on accuracy, latency, cost, carbon, privacy

  • Continuum memory & long-context services: tiered vector/KV cache, student–expert distillation, semantic caching for >200k token context

  • Safety, governance & carbon/cost aware scheduling: risk-aware routing, ISO 42001 alignment, energy/cost dashboards, SLO optimization

  • Benchmarking & reproducibility: standardized agent plans, code gen, tool use, QA metrics

See also our HPC expertise, including large-scale training on H100 clusters, continuum orchestration, and industrial pilots at HPC scale.

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