WhyLabs
Circuit mix
Where WhyLabs 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 & MLOps60%2 events
- Modern data stack & practitioner20%1 event
- Python & R data science20%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 |
|---|---|---|---|---|---|---|---|---|
| ODSC (Open Data Science Conference) | ||||||||
| Data Council | ||||||||
| MLOps World (Machine Learning in Production) | ||||||||
| PyData |
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.
- 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.
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- ODSC (Open Data Science Conference)once, 2022, Silver
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).
- XetHub0.88
- Delta Lake0.84
- Outerbounds0.81
- Iterative0.77
- Cleanlab0.76
- Iguazio0.75
- Qwak0.75
- HumanSignal0.74
15 Cluster: ODSC · MLOps World circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 1848 Ventures | 1 | 100% |
| Advancing Analytics | 1 | 100% |
| Airbyte | 1 | 100% |
| Alegion | 1 | 100% |
| Algorithmia | 1 | 100% |
| Arrikto | 1 | 100% |
| Cloudera | 1 | 100% |
| Datafold | 1 | 100% |
| Deephaven | 1 | 100% |
| Delta Lake | 1 | 100% |
| Einblick | 1 | 100% |
| Gurobi | 1 | 100% |
| HP | 1 | 100% |
| HPCC Systems | 1 | 100% |
| Iguazio | 1 | 100% |
Neighborhood: companies with nearby conference footprints
WhyLabs (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 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| ODSC West 2022 | Nov 1–3, 2022 | Burlingame, United States | Silver Partners | Silver |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Bernease Herman | PyData Seattle 2023 | speaker | Monitoring in the era of Generative AI, LLVMs, and embeddings – why truly scalable approaches matter | Video |
| Bernease Herman | 3rd Annual MLOps World 2022 | speaker | It’s All About The Data: Continuously Improve ML Models, The Data-Centric Way | — |
| Bernease Herman | Data Council Austin 2022 | talk | Observability at the long tail: why sampling production data doesn’t work for rare events | — |