Sicara
Circuit mix
Where Sicara 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 science75%9 events
- Enterprise, analyst & AI expos17%1 event
- Modern data stack & practitioner8%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 | ||||||||||
| Big Data & AI Paris | ||||||||||
| Forward Data Conference | ||||||||||
| PyCon (national Python conferences) |
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 2020.
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.
- Big Data & AI Parisonce, 2020, tier not listed
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).
- Multiverse Computing0.90
- Stat4decision0.80
- Airbus0.79
- Probabl0.77
- Orange Business0.76
- Sopra Steria0.76
- FPT0.75
- Renault0.75
18 Cluster: Big Data & AI Paris · Gartner Data & Analytics Summit 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 |
|---|---|---|
| Ab Initio | 1 | 100% |
| ACTIVUS GROUP | 1 | 100% |
| ADVANCED SCHEMA | 1 | 100% |
| Aiven | 1 | 100% |
| Alteryx | 1 | 100% |
| APPEX | 1 | 100% |
| ARTIK CONSULTING | 1 | 100% |
| ASG Technologies | 1 | 100% |
| ASKR.AI | 1 | 100% |
| Ataccama | 1 | 100% |
| AXYS CONSULTANTS | 1 | 100% |
| BI3E | 1 | 100% |
| BIRST | 1 | 100% |
| BLACK TIGER | 1 | 100% |
| BLUESCALE | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Sicara (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 |
|---|---|---|---|---|
| Big Data & AI Paris 2020 | Sep 14–15, 2020 | Paris, France | Exhibitor | Unlabeled |
Speakers 11
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Mathieu Soul | Forward Data Conference 2024 | speaker | Maman, j’ai raté la mise en production de mon algo d’IA! | Video |
| Noé Achache | PyData Paris 2024 | talk | Towards a deeper understanding of retrieval and vector databases | — |
| Noé Achache | PyData London 2024 | talk | RAG for a medical company: the technical and product challenges | — |
| Noé Achache | PyCon DE & PyData Berlin 2024 | talk | RAG for a medical company: the technical and product challenges | Video |
| Yannick Wolff | PyData London 2023 | talk | The Opinionated Python Stack I chose for my Company’s ML Projects and how I bundled it in a Project Generator | — |
| Antoine Toubhans | PyCon DE & PyData Berlin 2023 | talk | Advanced Visual Search Engine with Self-Supervised Learning (SSL) Representations and Milvus | — |
| Noé Achache | PyCon DE & PyData Berlin 2023 | talk | Advanced Visual Search Engine with Self-Supervised Learning (SSL) Representations and Milvus | — |
| Antoine Toubhans | PyCon US 2022 | speaker | Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit | Video |
| Antoine Toubhans | PyCon DE & PyData Berlin 2022 | talk | Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit | — |
| Raphael Meudec | PyData Cambridge 2019 | talk | tf-explain: Interpretability for Tensorflow 2.0 | — |
| Raphaël Meudec | PyData New York City 2019 | speaker | tf-explain: Interpretability for Tensorflow 2.0 | Video |