SpotHero
Circuit mix
Where SpotHero 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%2 events
- Python & R data science17%1 event
- Software engineering & trading tech17%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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Toronto Machine Learning Summit (TMLS) | ||||||||||
| QCon | ||||||||||
| SciPy Conference (Scientific Computing with Python) |
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.
- Silver
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference 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
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 |
|---|---|---|
| Arize AI | 2 | 100% |
| Dataiku | 2 | 100% |
| Loblaw Digital | 2 | 100% |
| ModelOp | 2 | 100% |
| Tenstorrent | 2 | 100% |
| Vector Institute | 2 | 100% |
| AltaML | 1 | 50% |
| AMD | 1 | 50% |
| Aporia | 1 | 50% |
| Armilla AI | 1 | 50% |
| Autodesk | 1 | 50% |
| Begin | 1 | 50% |
| Borealis AI | 1 | 50% |
| Continual | 1 | 50% |
| Covalent | 1 | 50% |
Sponsorships 2
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| 6th Annual TMLS 2022 | Nov 22–30, 2022 | Toronto, Canada | Silver Sponsors | Silver |
| TMLS 2021 Annual Virtual Conference | Nov 15–18, 2021 | — | Silver Sponsors | Silver |
Speakers 2
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Tom Janofsky | QCon AI New York 2025 | panelist | Panel: Scaling AI in Engineering - Driving Alignment, Adoption and Impact | — |
| James Lamb | SciPy 2022 | speaker | Does that CSV need to be on PyPI? Probably not. | — |