UCL
Circuit mix
Where UCL shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science32%6 events
- Enterprise, analyst & AI expos21%3 events
- Vendor flagships & roadshows16%3 events
- Software engineering & trading tech16%3 events
- Modern data stack & practitioner5%1 event
- Postgres & open-source databases5%1 event
- Research5%1 event
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2019.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- The AI Summitonce, 2019, Community tier
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- DataForce Solutions GmbH0.72
- Imperial College London0.70
- causaLens0.70
- Mila - Quebec AI Institute0.64
- CVS Health0.64
- Unilever0.64
- Automation Anywhere0.63
- EM360Tech0.63
4 Cluster: The AI Summit · AWS re:Invent circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| ABBYY | 1 | 100% |
| ABHI | 1 | 100% |
| AGORAI | 1 | 100% |
| AINFINITY | 1 | 100% |
| Algorithmia | 1 | 100% |
| ALPVISION | 1 | 100% |
| Amazon Web Services | 1 | 100% |
| Appen | 1 | 100% |
| Artificial Solutions | 1 | 100% |
| Auger AI | 1 | 100% |
| Automation Anywhere | 1 | 100% |
| AVERMEDIA | 1 | 100% |
| BARBICAN | 1 | 100% |
| BERKELEY UNIVERSITY | 1 | 100% |
| Blue.cloud | 1 | 100% |
Neighborhood: companies with nearby conference footprints
UCL (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| The AI Summit London 2019 | Jun 12–13, 2019 | London, United Kingdom | Research & Association Partners | Community |
Speakers 22
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Simran Dave | PyData London 2026 | talk | Mapping the local heat transition: from large-scale geospatial data to real-world impact | — |
| Serban Cristian Tudosie | PyCon Italia 2026 | talk | On the Madness of Image Compression | Video |
| Hao Ni | STAC Summit London, Spring 2026 | speaker | New frontiers of Generative AI in finance: Structured agentic workflows and foundational time-series models | — |
| Matt Graham | FOSDEM 2026 | speaker | Developing software tools for accelerated and differentiable scientific computing using JAX | Video |
| Mosè Giordano | FOSDEM 2026 | speaker | Accelerating scientific code on AI hardware with Reactant.jl | Slides · Video |
| Andrew Saxe | NeurIPS 2025 (San Diego) | keynote | Demystifying depth: Principles of learning in deep neural networks | Video |
| Dr. Lisa Andreevna Chalaguine | PyCon DE & PyData 2025 | talk | Decoding Topics: A Comparative Analysis of Python’s Leading Topic Modeling Libraries Using Climate C | — |
| Piotr Gryko | PyCon Lithuania 2025 | talk | Anonymization of sensitive information in financial documents using, python, diffusion models and named entity recognition | — |
| Małgorzata Śmietanka | Data & AI Warsaw Tech Summit 2025 | speaker | Leveraging LLMs for Claims Processing: Insights, Demo, and Lessons Learned. | — |
| Azhir Mahmood | QCon London 2024 | speaker | LLM and Generative AI for Sensitive Data - Navigating Security, Responsibility, and Pitfalls in Highly Regulated Industries | — |
| Piotr Gryko | PyCon Lithuania 2024 | talk | Scaling, Refactoring and fixing a Django MVP for Production | — |
| Piotr Gryko | PyCon Lithuania 2024 | talk | Building and Scaling an AI Startup with Async Django | — |
| Adam Dennett | Spatial Data Science Conference 2023 London | speaker | — | — |
| Andrew Maclachlan | Spatial Data Science Conference 2023 London | speaker | — | — |
| Hannah Fry | EARL 2022 | keynote | The trouble with automation. | — |
| Hannah Fry | DDAC 2022 | keynote | Allyship: One Size Doesn't Fit All | — |
| Hannah Fry | DDAC 2022 | keynote | The Joy of Data | — |
| Hannah Fry | Tableau Conference 2022 (TC22) | keynote | Thought Leader Keynote | — |
| Hannah Fry | QlikWorld Online 2021 | panelist | Using Data to Beat Bias | — |
| Hannah Fry | Big Data LDN 2020 | keynote | — | — |
| Hannah Fry | Gartner Data & Analytics Summit 2020 (Grapevine) | keynote | How to be Human in the Age of the Machine | — |
| Jade Alglave | QCon London 2019 | speaker | Applying Concurrency Cookbook Recipes to SPEC JBB | Video |