ApertureData
Circuit mix
Where ApertureData shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Modern data stack & practitioner50%2 events
- AI engineering & MLOps50%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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Data Council | ||||||||||
| MLOps World (Machine Learning in Production) |
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 2025.
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.
New 1
First sponsored in 2025 or later.
- MLOps World (Machine Learning in Production)first sponsored 2025, Startup tier
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 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| AG2 | 1 | 100% |
| AI Makerspace | 1 | 100% |
| aiml.events | 1 | 100% |
| Arcade.dev | 1 | 100% |
| Arize AI | 1 | 100% |
| Ask AI | 1 | 100% |
| Atlas Cloud | 1 | 100% |
| Austin AI Alliance | 1 | 100% |
| Austin Technology Council | 1 | 100% |
| Comet | 1 | 100% |
| Databricks | 1 | 100% |
| DataChain | 1 | 100% |
| DoltHub | 1 | 100% |
| Elastic | 1 | 100% |
| FloTorch | 1 | 100% |
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| 6th Annual MLOps World | GenAI Summit 2025 | Oct 8–9, 2025 | Austin, United States | Starup Zone | Startup |
Speakers 4
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Vishakha Gupta-Cledat | 6th Annual MLOps World | GenAI Summit 2025 | speaker | What Does A Foundational Data Layer For The AI Era Look Like? | — |
| Vishakha Gupta-Cledat | Data Council Austin 2022 | talk | Just Because Your Data Is Unstructured Doesn’t Mean it Should be Onerous | — |
| Luis Remis | Data Council SF 2020 (online) | talk | Time to Rethink Visual Data Management for Machine Learning | — |
| Vishakha Gupta-Cledat | Data Council SF 2020 (online) | talk | Time to Rethink Visual Data Management for Machine Learning | — |