A London Agentic AI event with Alibaba Cloud at Tessl London focused on models, memory, tooling, deployment, Qwen, Model Studio, enterprise integrations and production AI systems.
Hosts, sponsors and speaker organisations represented at this London Agentic AI stop.
This London Agentic AI stop moves from experimentation into the engineering details behind production AI systems. The event covers model strategy, RAG, persistent memory, enterprise integrations, deployment infrastructure, governance, performance, cost, reliability and long-term scalability.
Alibaba Cloud joins the community for a technical evening at Tessl London alongside Tomoro AI and Recombine AI. The programme connects open-weight model selection, memory-driven agent architecture, automatically generated SDKs for conversational AI and a panel on what actually works when deploying agentic AI in production.
A concise briefing on the technical context behind the event: why the topic mattered to the London Agentic AI community and what sponsors, speakers and attendees came to discuss.
The Luma and Meetup pages confirm the title, Tessl London venue, 25 June 2026 timing and approval-based Luma registration.
The published programme lists talks from Alibaba Cloud, Tomoro AI and Recombine AI followed by a production deployment panel.
Alibaba Cloud sponsors the event, Tessl provides the venue, and Meetup attendees are directed to register on Luma for admission.
How to evaluate and deploy models for agentic applications, RAG systems, multimodal workloads and enterprise use cases.
How memory architectures are becoming a foundational layer of modern AI systems.
How AI agents can safely connect to enterprise systems through APIs, tooling and integrations.
Deployment strategies, infrastructure considerations and operational practices for production AI systems.
How model selection, inference economics, cost optimization and build-versus-buy decisions shape AI architecture.
How open-weight ecosystems such as Qwen are influencing enterprise AI adoption.
A strategic solutions architecture session on Alibaba Cloud Model Studio, Qwen and choosing models for RAG, agents, fine-tuning, multimodal pipelines and on-prem inference economics.
A session on persistent memory as a foundational layer around modern agentic systems, shaping model behaviour without changing model weights.
A practical talk on connecting conversational AI agents to complex enterprise systems by generating agent SDKs automatically from API documentation.
An interactive panel and audience Q&A on real production deployments, infrastructure decisions, enterprise integrations and operational lessons.
Original registration, archive and recording links for this London Agentic AI event.
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