MosaicML
Circuit mix
Where MosaicML 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 & MLOps67%3 events
- Research33%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 |
|---|---|---|---|---|---|---|---|---|---|---|
| MLOps World (Machine Learning in Production) | ||||||||||
| NeurIPS (Conference on Neural Information Processing Systems) | ||||||||||
| ODSC (Open Data Science Conference) |
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.
- Gold
- Silver
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 2 conferences in 2022.
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 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- MLOps World (Machine Learning in Production)once, 2022, Silver
- NeurIPS (Conference on Neural Information Processing Systems)once, 2022, Gold
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 2 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| IBM | 2 | 100% |
| Pachyderm | 2 | 100% |
| Vector Institute | 2 | 100% |
| Activeloop | 1 | 50% |
| Aggregate Intellect | 1 | 50% |
| Agnostiq (Covalent) | 1 | 50% |
| Alibaba Cloud | 1 | 50% |
| Amazon Science | 1 | 50% |
| Amazon Web Services | 1 | 50% |
| Aporia | 1 | 50% |
| Apple | 1 | 50% |
| Arize AI | 1 | 50% |
| AstraZeneca | 1 | 50% |
| Balyasny Asset Management | 1 | 50% |
| Beijing Baidu Netcom Science Technology Co., Ltd | 1 | 50% |
Sponsorships 2
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| NeurIPS 2022 | Nov 28, 2022 – Dec 9, 2022 | New Orleans, United States | Gold | Gold |
| 3rd Annual MLOps World 2022 | Jun 9–10, 2022 | Toronto, Canada | Silver Sponsors | Silver |
Speakers 5
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Hagay Lupesco | 4th Annual MLOps World Conference & Expo 2023 | speaker | Training Large Language Models: Lessons from The Trenches | — |
| Hagay Lupesko | ODSC East 2023 | keynote | — | — |
| Hagay Lupesko | 3rd Annual MLOps World 2022 | speaker | Understanding Foundation Models: A New Paradigm for Building and Productizing AI Systems | — |
| Niklas Nielsen | 3rd Annual MLOps World 2022 | speaker | Efficient ML Training | — |
| Richard Mah | 3rd Annual MLOps World 2022 | speaker | Efficient ML Training | — |