Union.ai
Circuit mix
Where Union.ai 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 & MLOps70%13 events
- Python & R data science27%7 events
- Modern data stack & practitioner3%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
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.
- Title
- Gold
- Silver
- Bronze
- Other / unlabeled
Where they've grown or pulled back
UpSponsored 5 conferences in 2026, up from 3 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.
New 2
First sponsored in 2025 or later.
- AI Engineer (World's Fair, Summit and regional editions)first sponsored 2026, Silver
- PyTorch Conferencefirst sponsored 2026, Bronze
Moved up 1
Best tier rose between the first and latest year with a ranked tier.
- Toronto Machine Learning Summit (TMLS)Silver 2023 → Gold 2026
Steady 1
Sponsored in most years of its span at the same tier.
- MLOps World (Machine Learning in Production)3 of 4 years 2023–26, Silver
Once or on and off 3
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyCon (national Python conferences)once, 2022, unranked tier
- PyDataonce, 2023, Title
- Ray Summit2 of 5 years, 2022–26
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).
- Outerbounds0.80
- Agnostiq (Covalent)0.79
- HumanSignal0.78
- YData0.73
- CentML0.70
- Recursion0.70
- Arize AI0.70
- Anyscale0.69
1 Cluster: AI Engineer · MLOps World circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 12 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 5 | 42% | |
| IBM | 5 | 42% |
| Amazon Web Services | 4 | 33% |
| Elastic | 4 | 33% |
| Microsoft | 4 | 33% |
| Weights & Biases | 4 | 33% |
| Anaconda | 3 | 25% |
| Intel | 3 | 25% |
| NVIDIA | 3 | 25% |
| Outerbounds | 3 | 25% |
| Parasail | 3 | 25% |
| Runpod | 3 | 25% |
| Teradata | 3 | 25% |
| AI Makerspace | 2 | 17% |
| Anyscale | 2 | 17% |
Neighborhood: companies with nearby conference footprints
Union.ai (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 12
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| 7th Annual MLOps World | GenAI Summit 2026 | Nov 17–18, 2026 | Austin, United States | Silver Sponsors | Silver |
| PyTorch Conference North America 2026 | Oct 20–21, 2026 | San Jose, United States | Bronze | Bronze |
| AI Engineer New York 2026 | Oct 12–14, 2026 | New York, United States | Silver | Silver |
| Ray Summit 2026 | Aug 24–26, 2026 | San Francisco, United States | Startups | Startup |
| 10th Annual Toronto Machine Learning Summit (TMLS) 2026 | Jun 16–19, 2026 | Toronto, Canada | Gold | Gold |
| 6th Annual MLOps World | GenAI Summit 2025 | Oct 8–9, 2025 | Austin, United States | Silver Sponsors | Silver |
| 9th Annual Toronto Machine Learning Summit (TMLS) 2025 | Jun 13–18, 2025 | Toronto, Canada | Sponsors | Other |
| 4th Annual MLOps World Conference & Expo 2023 | Oct 25–26, 2023 | Austin, United States | Silver Sponsors | Silver |
| TMLS 2023 | Jun 12–14, 2023 | Toronto, Canada | Silver Sponsors | Silver |
| PyData Seattle 2023 | Apr 26–28, 2023 | Redmond, United States | Diamond | Title |
| Ray Summit 2022 | Aug 22–24, 2022 | San Francisco, United States | Silver | Silver |
| PyCon US 2022 | Apr 27, 2022 – May 3, 2022 | Salt Lake City, United States | Associate | Other |
Speakers 18
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Niels Bantilan | 7th Annual MLOps World | GenAI Summit 2026 | speaker (virtual day) | Your GPUs Are Not an AI Factory: How We Built a Durable Runtime for Sovereign AI | — |
| Ketan Umare | 10th Annual Toronto Machine Learning Summit (TMLS) 2026 | speaker | The Orchestration Stack for Observable, Debuggable, and Durable Agents | — |
| Niels Bantilan | PyTorch Conference 2025 | speaker | Designing and Building Custom Reinforcement Learning Environments for Fine-tuning LLMs | — |
| Chris Matteson | 6th Annual MLOps World | GenAI Summit 2025 | speakers_corner | What gets AI Agents to Production | — |
| Niels Bantilan | 6th Annual MLOps World | GenAI Summit 2025 | speaker | A Practical Field Guide to Optimizing the Cost, Speed, and Accuracy of LLMs for Domain-Specific Agents | — |
| David Espejo | PyCon Colombia 2025 | talk | From Notebook to Cloud: Developing Reproducible ML Applications | Video |
| Niels Bantilan | 5th Annual MLOps World and Generative AI World Conference 2024 | speaker | RAG Hyperparameter Optimization: Translating a Traditional ML Design Pattern to RAG Applications | — |
| Pryce Turner | SciPy 2024 | speaker | Orchestrating Bioinformatics Workflows Across a Heterogeneous Toolset with Flyte | — |
| Niels Bantilan | 4th Annual MLOps World Conference & Expo 2023 | workshop (virtual) | Learn Your Codebase: Fine-tuning CodeLlama with Flyte… to Learn Flyte | — |
| Samhita Alla | PyCon India 2023 | talk | Fine-Tuning Insights - Lessons from Experimenting with a Large Language Model on Slack | — |
| Niels Bantilan | SciPy 2023 | speaker | Pandera: Beyond Pandas Data Validation | — |
| Niels Bantilan | SciPy 2023 | tutorial | A Hands-on Introduction to Production-grade Data Science Orchestration with Flyte | — |
| Eduardo Apolinario | PyData Seattle 2023 | tutorial | Flyte: Robust and End-to-End Cloud Native Machine Learning & Data Processing Platform | Video |
| Ketan Umare | PyData Seattle 2023 | speaker | The Python Data Ecosystem: Navigating a fragmented landscape. | Video |
| Yee Tong | PyData Seattle 2023 | speaker | The Python Data Ecosystem: Navigating a fragmented landscape. | Video |
| Niels Bantilan | SciPy 2022 | speaker | Reliable, Reproducible, Recoverable, and Auditable Machine Learning for Production Workloads with Flyte | — |
| Niels Bantilan | 3rd Annual MLOps World 2022 | speaker | UnionML: A Microframework for Building Machine Learning Applications | — |
| Niels Bantilan | Data Council Austin 2022 | talk | Type-Safe Data Processing and Machine Learning Pipelines with Flyte and Pandera | — |