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:
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Research & academic partnerships: translating lab innovations into production-ready AI systems
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Platforms & accelerators: AlphaAI Launchpad / Agentic AI Factory for multi-cloud LLM deployment, CodeCrafter for code intelligence, ResponsibleRails for governance (ISO 42001/NIST AI RMF)
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Industrial demonstrators: document AI, RAG, agentic automation, long-context reasoning in retail, finance, healthcare
Research & innovation focus:
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Distributed LLM orchestration: policy-aware query routing across edge/cloud/HPC based on accuracy, latency, cost, carbon, privacy
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Continuum memory & long-context services: tiered vector/KV cache, student–expert distillation, semantic caching for >200k token context
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Safety, governance & carbon/cost aware scheduling: risk-aware routing, ISO 42001 alignment, energy/cost dashboards, SLO optimization
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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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Jan Krüger
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