Iterative
Also listed as 4 other names
Iterative AI · Iterative.AI · Iterative.ai · iterative.ai
Circuit mix
Where Iterative shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- AI engineering & MLOps57%7 events
- Python & R data science24%4 events
- Modern data stack & practitioner10%2 events
- Research10%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.
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
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 2 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.
Pulled out 2
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition)last sponsored 2023; the conference ran again in 2024–26
- Toronto Machine Learning Summit (TMLS)last sponsored 2022; the conference ran again in 2023–26
Steady 1
Sponsored in most years of its span at the same tier.
- MLOps World (Machine Learning in Production)every year 2022–23, Gold
Once or on and off 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- ODSC (Open Data Science Conference)once, 2022, Platinum
- PyDataonce, 2022, Platinum
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).
- XetHub0.87
- DataTalks.Club0.77
- WhyLabs0.74
- Outerbounds0.73
- Marvelous MLOps0.72
- HumanSignal0.71
- Valohai0.69
- Qwak0.68
16 Cluster: ODSC · MLOps World 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 |
|---|---|---|
| Aporia | 3 | 43% |
| Iguazio | 3 | 43% |
| Pachyderm | 3 | 43% |
| Superwise | 3 | 43% |
| Tenstorrent | 3 | 43% |
| Women in AI & Robotics | 3 | 43% |
| Airbyte | 2 | 29% |
| Arize AI | 2 | 29% |
| Cloudera | 2 | 29% |
| Einblick | 2 | 29% |
| Featureform | 2 | 29% |
| Genesis | 2 | 29% |
| Gurobi | 2 | 29% |
| HP | 2 | 29% |
| HPCC Systems | 2 | 29% |
Neighborhood: companies with nearby conference footprints
Iterative (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 |
|---|---|---|---|---|
| 4th Annual MLOps World Conference & Expo 2023 | Oct 25–26, 2023 | Austin, United States | Gold Sponsors | Gold |
| CVPR 2023 | Jun 18–22, 2023 | Vancouver, Canada | Gold | Gold |
| PyData Eindhoven 2022 | Dec 2, 2022 | Eindhoven, Netherlands | Platinum | Platinum |
| 6th Annual TMLS 2022 | Nov 22–30, 2022 | Toronto, Canada | Gold Sponsors | Gold |
| ODSC West 2022 | Nov 1–3, 2022 | Burlingame, United States | Gold Partners | Gold |
| 3rd Annual MLOps World 2022 | Jun 9–10, 2022 | Toronto, Canada | Gold Sponsors | Gold |
| ODSC East 2022 | Apr 19–21, 2022 | Boston, United States | Platinum Partners | Platinum |
Speakers 11
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Rob de Wit | PyCon US 2023 | speaker | Transforming a Jupyter Notebook into a reproducible pipeline for ML experiments | Video |
| Rob de Wit | PyData Eindhoven 2022 | talk | Becoming a Pokémon Master with DVC: reproducible machine learning experiments | Video |
| Milecia McGregor | Data Day Texas 2022 | speaker | Using Reproducible Experiments To Create Better Models | — |
| Dmitry Petrov | 3rd Annual MLOps World 2022 | speaker | Model Registry with open source tools: Git & GitHub | — |
| Mikhail Sveshnikov | 3rd Annual MLOps World 2022 | workshop | How to MLEM your Models to Production | — |
| Milecia McGregor | 3rd Annual MLOps World 2022 | speaker | How to Conquer Data Drift & Prevent Stale Models in Production using DVC | — |
| David | PyCon DE & PyData Berlin 2022 | tutorial | Making MLOps uncool again | — |
| Milecia McGregor | ML Conference Berlin 2021 | keynote | Tuning Hyperparameters for Your Machine Learning Project | — |
| Milecia McGregor | Data Con LA 2021 | speaker | Using Reproducible Experiments To Create Better Models | — |
| Elle O’Brien | TMLS Annual Conference & Expo 2020 | speaker | Workshop: How to Automate Machine Learning with GitHub Actions | — |
| Dmitry Petrov | PyData Los Angeles 2019 | speaker | Datasets and machine learning models versioning using open source tools | Video |