Nixtla
Circuit mix
Where Nixtla shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science56%4 events
- AI engineering & MLOps22%2 events
- Modern data stack & practitioner11%1 event
- Cloud providers11%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 |
|---|---|---|---|---|---|---|---|---|
| PyCon (national Python conferences) | ||||||||
| PyData | ||||||||
| Ray Summit | ||||||||
| AI Engineer (World's Fair, Summit and regional editions) | ||||||||
| AWS re:Invent | ||||||||
| Data Council |
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.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2023.
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.
- PyCon (national Python conferences)once, 2023, unranked tier
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).
- Jina AI0.85
- Pydantic0.81
- Indeed0.80
- Mozilla0.79
- OpenTeams0.79
- Klarna0.78
- Mercado Libre0.78
- Octopus Energy0.78
6 Cluster: PyCon · EuroPython 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 |
|---|---|---|
| Adimian.be SPRL | 1 | 100% |
| Akamai | 1 | 100% |
| Amazon Web Services | 1 | 100% |
| Anaconda | 1 | 100% |
| Ansys | 1 | 100% |
| Anvil | 1 | 100% |
| Anyscale | 1 | 100% |
| Auth0 | 1 | 100% |
| BeeWare Project | 1 | 100% |
| BeProud | 1 | 100% |
| Bloomberg | 1 | 100% |
| Bluevine | 1 | 100% |
| Canva | 1 | 100% |
| Cape Privacy | 1 | 100% |
| Capital One | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Nixtla (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 |
|---|---|---|---|---|
| PyCon US 2023 | Apr 19–27, 2023 | Salt Lake City, United States | Associate | Other |
Speakers 9
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Azul Garza | AI Engineer World's Fair 2024 | expo session | Building Time Series Foundation Models: The Journey to Success with Nixtla and Microsoft | — |
| Azul Garza | AWS re:Invent 2023 | lightning talk | TimeGPT: Generative AI for time series | Video |
| Azul Garza | Ray Summit 2023 | speaker | TimeGPT: A Foundation Large Time Series Model | — |
| Max Mergenthaler | Ray Summit 2023 | speaker | TimeGPT: A Foundation Large Time Series Model | — |
| Federico Garza Ramirez | PyData Seattle 2023 | speaker | Quantifying Uncertainty in Time Series Forecasting with Conformal Prediction | Video |
| Max Mergenthaler | PyData Seattle 2023 | speaker | Quantifying Uncertainty in Time Series Forecasting with Conformal Prediction | Video |
| Max Mergenthaler | Data Council Austin '23 | talk | Hierarchical Forecasting in Python | — |
| Max Mergenthaler | PyData NYC 2022 | speaker | NixtlaVerse, bridging the gap between statistics and deep learning for time series. | Video |
| Kin Gutierrez Olivares | PyCon US 2022 | speaker | Nixtla: Deep Learning para pronóstico de series de tiempo. | Video |