deepset
Circuit mix
Where deepset 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 science37%7 events
- Enterprise, analyst & AI expos22%3 events
- Open-source data infrastructure15%4 events
- AI engineering & MLOps15%3 events
- Postgres & open-source databases4%1 event
- Cloud providers4%1 event
- Software engineering & trading tech4%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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| PyData | ||||||||||
| Berlin Buzzwords | ||||||||||
| The AI Summit | ||||||||||
| AI Engineer (World's Fair, Summit and regional editions) | ||||||||||
| PyCon (national Python conferences) | ||||||||||
| QCon | ||||||||||
| AWS re:Invent | ||||||||||
| EuroPython | ||||||||||
| FOSDEM | ||||||||||
| Ray Summit |
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.
- Silver
- Bronze
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 4 conferences in 2023.
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.
Steady 1
Sponsored in most years of its span at the same tier.
- The AI Summitevery year 2022–24, Silver
Once or on and off 3
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- AI Engineer (World's Fair, Summit and regional editions)once, 2023, Silver
- PyCon (national Python conferences)once, 2023, Bronze
- PyDataonce, 2023, Silver
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).
- Deepgram0.84
- Pluralsight0.80
- Revolut0.78
- Imperial College London0.76
- Hugging Face0.73
- BBC0.72
- TNG Technology Consulting GmbH0.72
- Jina AI0.71
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 7 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| AI Business | 3 | 43% |
| Amazon Web Services | 3 | 43% |
| 3 | 43% | |
| IBM | 3 | 43% |
| Microsoft | 3 | 43% |
| Python Software Foundation | 3 | 43% |
| Quix | 3 | 43% |
| 42Maru | 2 | 29% |
| AMD | 2 | 29% |
| Appen | 2 | 29% |
| Boston Consulting Group | 2 | 29% |
| Cambridge Consultants | 2 | 29% |
| Citiwave | 2 | 29% |
| CloudFactory | 2 | 29% |
| DataForce Solutions GmbH | 2 | 29% |
Neighborhood: companies with nearby conference footprints
deepset (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 7
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| The AI Summit New York 2024 | Dec 11–12, 2024 | New York, United States | Silver Sponsors | Silver |
| AI Engineer Summit 2023 | Oct 8–10, 2023 | San Francisco, United States | Silver Sponsors | Silver |
| The AI Summit London 2023 | Jun 14–15, 2023 | London, United Kingdom | Silver Sponsors | Silver |
| PyCon Italia 2023 | May 25–28, 2023 | Florence, Italy | Bronze | Bronze |
| PyCon US 2023 | Apr 19–27, 2023 | Salt Lake City, United States | Partner | Other |
| PyCon DE & PyData Berlin 2023 | Apr 17–19, 2023 | Berlin, Germany | Silver | Silver |
| The AI Summit London 2022 | Jun 15–16, 2022 | London, United Kingdom | Silver Sponsors | Silver |
Speakers 16
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Stefano Fiorucci | Berlin Buzzwords 2026 | talk | Let LLMs Wander: Engineering RL Environments | Slides · Video |
| Bilge Yücel | AI Engineer Europe 2026 | speaker | What Breaks When You Build AI Under Sovereignty Constraints | Video |
| Bilge Yücel | PyData Berlin 2025 | talk | Most AI Agents Are Useless. Let’s Fix That | Video |
| Bilge Yücel | Berlin Buzzwords 2025 | talk | Go Beyond Basic RAG with Agentic Behavior | Slides · Video |
| Jay Wilder | AWS re:Invent 2024 | lightning talk | From prototype to adoption: Building gen AI products that stick (sponsored by deepset) | Video |
| Sara Zanzottera | EuroPython 2024 | talk | Is RAG all you need? A look at the limits of retrieval augmented generation | Video |
| Bilge Yücel | Berlin Buzzwords 2024 | talk | Improve LLM-based Applications with Fallback Mechanisms | Slides · Video |
| Bilge Yücel | PyCon DE & PyData Berlin 2024 | talk | Improve LLM-based Applications with Fallback Mechanisms | — |
| Silvano Cerza | PyCon DE & PyData Berlin 2024 | sponsor | Haystack 2.0: the story of a rewrite | — |
| Tuana Çelik | FOSDEM 2024 | speaker | Using Haystack to Build Custom Functionality for LLM Applications | Slides · Video |
| Thomas Stadelmann | QCon San Francisco 2023 | speaker | Build and Deploy Retrieval Augmented Generative Pipelines with Haystack | — |
| Tuana Celik | QCon San Francisco 2023 | speaker | Build and Deploy Retrieval Augmented Generative Pipelines with Haystack | — |
| Malte Pietsch | Berlin Buzzwords 2023 | talk | Connect GPT with your data: Retrieval-augmented Generation | Slides · Video |
| Mathis Lucka | PyCon DE & PyData Berlin 2023 | talk | Building a Personal Assistant With GPT and Haystack: How to Feed Facts to Large Language Models and Reduce Hallucination. | — |
| Tobias Wochinger | Ray Summit 2022 | speaker | Running a question-answering system on Ray Serve | — |
| Malte Pietsch | PyData Warsaw 2019 | keynote | Transfer Learning - Entering a new era in NLP | — |