Probabl
Also listed as 5 other names
:probabl · :probabl. · Probabl AI · probabl · probabl.ai
Circuit mix
Where Probabl 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 science67%7 events
- Enterprise, analyst & AI expos13%1 event
- Research13%1 event
- Modern data stack & practitioner7%1 event
The year around now
Conferences where Probabl sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
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 |
|---|---|---|---|---|---|---|---|---|
| PyData | ||||||||
| Compute! | ||||||||
| Big Data & AI Paris | ||||||||
| NeurIPS (Conference on Neural Information Processing Systems) | ||||||||
| EuroPython | ||||||||
| Forward Data Conference | ||||||||
| PyCon (national Python conferences) |
Activity by year
Three measures on one year axis; each panel has its own scale.
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.
- Platinum
- Gold
- Bronze
- Other / unlabeled
Where they've grown or pulled back
UpSponsored 2 conferences in 2026, up from 1 in 2024.
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.
New 3
First sponsored in 2025 or later.
- Big Data & AI Parisfirst sponsored 2025, tier not listed
- Compute!first sponsored 2026, Gold
- NeurIPS (Conference on Neural Information Processing Systems)first sponsored 2026, Bronze
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- PyDataPlatinum 2024 → Gold 2025
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).
- Stat4decision0.85
- European Commission0.81
- DeepL0.80
- Sicara0.80
- IMC0.78
- Taipy0.75
- Multiverse Computing0.75
- Xebia0.73
17 Cluster: PyData · QCon circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 5 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Inria | 4 | 80% |
| Capital Fund Management | 3 | 60% |
| Stat4decision | 3 | 60% |
| Systematic Paris-Region | 3 | 60% |
| CODRA | 2 | 40% |
| Datadog | 2 | 40% |
| 2 | 40% | |
| IBM | 2 | 40% |
| Microsoft | 2 | 40% |
| Oracle | 2 | 40% |
| PyLadies Paris | 2 | 40% |
| Safran | 2 | 40% |
| SCAI | 2 | 40% |
| Snowflake | 2 | 40% |
| 42 | 1 | 20% |
Neighborhood: companies with nearby conference footprints
Probabl (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 5
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| NeurIPS 2026 (Sydney) | Dec 6–12, 2026 | Sydney, Australia | Bronze | Bronze |
| Compute! Paris 2026 | Nov 25–26, 2026 | Paris, France | Gold | Gold |
| Big Data & AI Paris 2025 | Oct 1–2, 2025 | Paris, France | Exhibitor | Unlabeled |
| PyData Paris 2025 | Sep 30, 2025 – Oct 2, 2025 | Paris, France | Gold | Gold |
| PyData Paris 2024 | Sep 25–27, 2024 | Paris, France | Platinum | Platinum |
Speakers 12
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Gaetan de Castellane | Compute! Paris 2026 | speaker | Catching ML mistakes automatically with skore: from data scientists to agentic pipelines | — |
| Marie Sacksick | Compute! Paris 2026 | speaker | How can you use agents and keep an interesting data science job? | — |
| Olivier Grisel | Compute! Paris 2026 | speaker | TabICL vs scikit-learn for predictive uncertainty quantification | — |
| Stefanie Senger | PyCon Ireland 2026 | talk | Training scikit-learn models on GPU (using the Python Array API) | — |
| Gaël Varoquaux | Forward Data Conference 2026 | speaker | What to expect of a data-science agent? | — |
| Marie Sacksick | PyData Paris 2025 | talk | Enhancing Machine Learning Workflows with skore | Video |
| Yann Lechelle | PyData Paris 2025 | talk | Open-source Business | Video |
| Adrin Jalali | PyData Berlin 2025 | talk | The EU AI Act: Unveiling Lesser-Known Aspects, Implementation Entities, and Exemptions | Video |
| Adrin Jalali | EuroPython 2025 | talk | EU AI Act: Unveiling Lesser-Known Aspects and Implementation Entities | Video |
| Tamara Atanasoska | EuroPython 2025 | talk | Fairlearn:practical approach to assessing and mitigating harm in AI systems | — |
| Olivier Grisel | PyData Paris 2024 | keynote | Keynote: Handling predictive uncertainty in Machine Learning | — |
| Guillaume Lemaitre | PyCon DE & PyData Berlin 2024 | talk | A Retrieval Augmented Generation system to query the scikit-learn documentation | — |