Modal
Circuit mix
Where Modal 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 & MLOps53%10 events
- Python & R data science21%4 events
- Research12%2 events
- Modern data stack & practitioner9%3 events
- Cloud providers6%2 events
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.
- Platinum
- Gold
- Silver
- Other / unlabeled
Where they've grown or pulled back
UpSponsored 5 conferences in 2026, up from 1 in 2024.
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 5
First sponsored in 2025 or later.
- AI Engineer (World's Fair, Summit and regional editions)first sponsored 2025, Gold
- EuroPythonfirst sponsored 2026, Gold
- NeurIPS (Conference on Neural Information Processing Systems)first sponsored 2025, Silver
- PyCon (national Python conferences)first sponsored 2025, Silver
- PyTorch Conferencefirst sponsored 2026, Gold
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- MLOps World (Machine Learning in Production)once, 2024, Startup 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).
- Kaggle0.85
- Pydantic0.83
- Roboflow0.80
- Together AI0.79
- Neptune0.78
- Ramp0.77
- TwelveLabs0.75
- Revolut0.72
1 Cluster: AI Engineer · MLOps World circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 13 this company sponsored).
Neighborhood: companies with nearby conference footprints
Modal (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 13
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| NeurIPS 2026 (Sydney) | Dec 6–12, 2026 | Sydney, Australia | Platinum | Platinum |
| PyCon Sweden 2026 | Nov 19–20, 2026 | Stockholm, Sweden | Gold | Gold |
| PyTorch Conference North America 2026 | Oct 20–21, 2026 | San Jose, United States | Gold | Gold |
| AI Engineer New York 2026 | Oct 12–14, 2026 | New York, United States | Gold | Gold |
| AI Engineer Paris 2026 | Sep 23–24, 2026 | Paris, France | Silver Sponsors | Silver |
| EuroPython 2026 | Jul 13–19, 2026 | Kraków, Poland | Gold | Gold |
| AI Engineer World's Fair 2026 | Jun 29, 2026 – Jul 2, 2026 | San Francisco, United States | Silver | Silver |
| AI Engineer Europe 2026 | Apr 8–10, 2026 | London, United Kingdom | SILVER SPONSORS | Silver |
| NeurIPS 2025 (San Diego) | Dec 2–7, 2025 | San Diego, United States | Silver Pavilion | Silver |
| AI Engineer Code Summit 2025 | Nov 19–22, 2025 | New York, United States | Silver Sponsors (meet in Expo!) | Silver |
| PyCon Sweden 2025 | Oct 30–31, 2025 | Stockholm, Sweden | Silver | Silver |
| AI Engineer World's Fair 2025 | Jun 3–5, 2025 | San Francisco, United States | Gold Sponsors | Gold |
| 5th Annual MLOps World and Generative AI World Conference 2024 | Nov 7–8, 2024 | Austin, United States | Start-Up Corner | Startup |
Speakers 21
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Adam Azzam | AWS re:Invent 2026 | lightning talk | Don't build agents, build environments instead (sponsored by Modal) | — |
| Omkaar Kamath | AWS re:Invent 2026 | lightning talk | Breaking up with closed frontier models (sponsored by Modal) | — |
| Akshat Bubna | AI Engineer New York 2026 | speaker | Great Agents Start with Great Infrastructure | Video |
| Jason Mancuso | AI Engineer New York 2026 | speaker | Scaling Agentic RL Across the Globe | — |
| Charles Frye | AI Engineer Paris 2026 | speaker | The low-latency inference engineering playbook | — |
| Thom Lane | EuroPython 2026 | sponsored talk | Write async. Get sync for free | Video |
| Adam Azzam | AI Engineer World's Fair 2026 | speaker | Don’t build agents, build environments | — |
| Charles Frye | AI Engineer World's Fair 2026 | workshop | What is an Inference Engine, Anyway? | Video |
| Nan Jiang | AI Engineer World's Fair 2026 | speaker | Taking Reinforcement Learning Cross Datacenter | Video |
| Charles Frye | AI Council 2026 | keynote | Modern Inference for Modern Workloads | — |
| TBD (Modal) | AI Engineer Europe 2026 | expo session | What Lies Beneath the API: when should you tune your own model? | — |
| TBD (Modal) | AI Engineer Europe 2026 | expo session | How Lovable self-improves every hour | Video |
| Erik Bernhardsson | AWS re:Invent 2025 | lightning talk | Scaling instantly to 1000 GPUs for Serverless AI inference (sponsored by Modal) | Video |
| Thomas J. Fan | SciPy 2025 | speaker | Dive into Flytekit's Internals: A Python SDK to Quickly Bring your Code Into Production | — |
| Charles Frye | AI Engineer World's Fair 2025 | speaker | What every AI engineer needs to know about GPUs | Video |
| Charles Frye | AI Engineer World's Fair 2025 | expo session | How fast are LLM inference engines anyway? | Video |
| Charles Frye | Data Council 2025 | talk | What Every Data Scientist Needs To Know About GPUs | — |
| Erik Bernhardsson | AI Engineer Summit 2025 (New York) | online | The Ideal AI Engineering Platform | — |
| Charles Frye | 5th Annual MLOps World and Generative AI World Conference 2024 | speaker | How to Run Your Own LLMs, From Silicon to Service | — |
| Charles Frye | AI Engineer World's Fair 2024 | keynote | What We Learned From A Year of Building With LLMs | Video |
| Erik Bernhardsson | Data Council Austin '23 | talk | Creating our own Kubernetes and Docker to run our data infrastructure | — |