Founded in 2014, Neux Ltd is a consultancy specialising in artificial intelligence, cognitive technologies, and cloud infrastructure automation. The company builds intelligent and scalable systems that bridge scientific research with real‑world application across enterprise and public sectors.

Neux designs and delivers production‑grade AI architectures, knowledge automation platforms, and cloud‑native infrastructures that support both commercial and public organisations. Its expertise spans agentic AI systems, large‑scale knowledge graphs, and adaptive automation frameworks optimised for performance, reliability, and security across distributed environments.

Through applied machine learning, data science, and system automation, Neux helps organisations transform data into intelligence, streamline operations through autonomous workflows, and enable resilient digital transformation at scale.

Peter is the Co‑Founder and Engineering Director at Neux. He specialises in building production-grade agentic AI systems with a focus on LLM engineering, knowledge graphs, and knowledge automation.

He has delivered enterprise solutions for ARM, Deutsche Telekom, and Juniper Networks, and cloud automation projects for Amazon, Fujitsu, the BBC, Ericsson, Vodafone, BP, and the London Metropolitan Police.

His work includes:
→ Ontology‑driven automation (LinkML, SHACL, SPARQL)
→ Scalable agent frameworks (100+ autonomous agents with RL feedback)
→ Real‑time AI/XR integration (multi‑agent voice systems, VR knowledge interfaces)
→ Python systems (FastAPI, FastMCP, gRPC, MLFlow, Acme JAX Agents, Pandas, Rich, DSPy, LangGraph, and related tools)

He builds reliable, large‑scale infrastructure linking research pipelines from DeepMind and Meta AI with production systems deployed across 600+ Kubernetes clusters in 14+ data centres.

Peter provides consulting in designing and deploying agentic AI architectures, building enterprise knowledge graphs, automating cloud and data workflows, and scaling research prototypes into production environments.

Dorota Styk is Co‑Founder of Neux Ltd, where she leads work on neuroscience-focused technology projects as a machine learning architect and data scientist. With a background in cognitive neuroscience and psychology, she designs and implements cloud-native platforms for neurocognitive assessment and intervention. Her applied work builds directly on her ongoing PhD research, which evaluates the real-world cognitive benefits of machine learning-driven training for working memory.

At Neux Ltd, Dorota architects and deploys advanced data systems and AI models for analysing, optimising, and personalising cognitive interventions. Her skills include the integration of clinical, neuroimaging, and behavioural data, and the development of adaptive algorithms to support cognitive health and neurorehabilitation.

Dorota provides consultation in:

→ Machine learning and data science for neuroscience and psychology
→ Design and evaluation of digital neurocognitive assessment and training tools
→ Applied research methods for cognitive and clinical sciences
→ Deployment of secure, cloud-based AI platforms for health applications

She also maintains university collaborations, publishes in neuroscience and psychology, and is active in science communication and outreach.

Check her personal website:
Styk.ai

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