Private AI
Circuit mix
Where Private AI 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 & MLOps100%4 events
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) | ||||||||||
| Toronto Machine Learning Summit (TMLS) |
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.
- Bronze
- Other / unlabeled
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.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- 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)2 of 3 years 2022–24, mostly Bronze
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 3 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Aporia | 3 | 100% |
| Arize AI | 2 | 67% |
| Featureform | 2 | 67% |
| IBM | 2 | 67% |
| Iterative | 2 | 67% |
| Pachyderm | 2 | 67% |
| SharpestMinds | 2 | 67% |
| Superwise | 2 | 67% |
| Tecton | 2 | 67% |
| Tenstorrent | 2 | 67% |
| Vector Institute | 2 | 67% |
| VESSL AI | 2 | 67% |
| Women in AI & Robotics | 2 | 67% |
| Aggregate Intellect | 1 | 33% |
| Agnostiq (Covalent) | 1 | 33% |
Sponsorships 3
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| 5th Annual MLOps World and Generative AI World Conference 2024 | Nov 7–8, 2024 | Austin, United States | Start-Up Corner | Startup |
| 6th Annual TMLS 2022 | Nov 22–30, 2022 | Toronto, Canada | Bronze Sponsors | Bronze |
| 3rd Annual MLOps World 2022 | Jun 9–10, 2022 | Toronto, Canada | Bronze Sponsors | Bronze |
Speakers 5
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Patricia Thaine | 8th Annual Toronto Machine Learning Summit (TMLS) 2024 | speaker | Building Customer Trust in the Generative AI Era | — |
| Patricia Thaine | 6th Annual TMLS 2022 | speaker | Workshop: Demystifying De-Identification | — |
| Kory Fong | 3rd Annual MLOps World 2022 | speaker | Privacy Risks in NLP & Ways to Combat Them | — |
| Patricia Thaine | 3rd Annual MLOps World 2022 | speaker | How MLOps Tools Will Need to Adapt to Responsible and Ethical AI: Stay Ahead of the Curve | — |
| Paul Wu | 3rd Annual MLOps World 2022 | speaker | Privacy Risks in NLP & Ways to Combat Them | — |