Prior Labs
Circuit mix
Where Prior Labs 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 & MLOps45%3 events
- Modern data stack & practitioner18%1 event
- Python & R data science18%1 event
- Research18%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 |
|---|---|---|---|---|---|---|---|---|---|---|
| AI Engineer (World's Fair, Summit and regional editions) | ||||||||||
| PyData | ||||||||||
| Data Council | ||||||||||
| NeurIPS (Conference on Neural Information Processing Systems) |
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.
- Platinum
- Gold
- Silver
- Other / unlabeled
Where they've grown or pulled back
Sponsored 4 conferences in 2026, the first year on record.
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 4
First sponsored in 2025 or later.
- AI Engineer (World's Fair, Summit and regional editions)first sponsored 2026, Gold
- Data Councilfirst sponsored 2026, Startup tier
- NeurIPS (Conference on Neural Information Processing Systems)first sponsored 2026, Platinum
- PyDatafirst sponsored 2026, Platinum
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).
- Perplexity0.83
- Encord0.82
- Lovable0.79
- Runway0.77
- DatologyAI0.77
- Exa0.75
- Roboflow0.74
- QuantumBlack0.73
1 Cluster: AI Engineer · MLOps World circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 5 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Cerebras | 3 | 60% |
| The D. E. Shaw Group | 3 | 60% |
| Datadog | 3 | 60% |
| Exa | 3 | 60% |
| 3 | 60% | |
| Modal | 3 | 60% |
| Optiver | 3 | 60% |
| Oracle | 3 | 60% |
| Ramp | 3 | 60% |
| Snorkel AI | 3 | 60% |
| Snowflake | 3 | 60% |
| Together AI | 3 | 60% |
| turbopuffer | 3 | 60% |
| Two Sigma | 3 | 60% |
| Airbyte | 2 | 40% |
Neighborhood: companies with nearby conference footprints
Prior Labs (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 5
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| NeurIPS 2026 (Sydney) | Dec 6–12, 2026 | Sydney, Australia | Platinum | Platinum |
| AI Engineer New York 2026 | Oct 12–14, 2026 | New York, United States | Gold | Gold |
| AI Engineer World's Fair 2026 | Jun 29, 2026 – Jul 2, 2026 | San Francisco, United States | Silver | Silver |
| AI Council 2026 | May 12–14, 2026 | San Francisco, United States | Seed | Startup |
| PyCon DE & PyData 2026 | Apr 14–16, 2026 | Darmstadt, Germany | Platinum | Platinum |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Sauraj Gambhir | AI Engineer New York 2026 | speaker | Tabular Foundation Models in Finance | — |
| Tuana Çelik | AI Engineer Paris 2026 | speaker | Bring Deterministic Predictions to AI Agents with Tabular Foundation Models | — |
| Frank Hutter | PyCon DE & PyData 2026 | sponsor | The foundation model revolution for tabular data | — |