Outerbounds
Circuit mix
Where Outerbounds 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 & MLOps62%9 events
- Python & R data science21%6 events
- Modern data stack & practitioner17%4 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.
- Gold
- Silver
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 2 conferences 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.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- AI By the Baylast sponsored 2023; the conference ran again in 2025
Steady 3
Sponsored in most years of its span at the same tier.
- MLOps World (Machine Learning in Production)every year 2023–25, mostly Gold
- PyTorch Conferenceevery year 2024–25, Silver
- Toronto Machine Learning Summit (TMLS)every year 2024–25, unranked tier
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, 2024, 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).
- XetHub0.83
- Union.ai0.80
- Iterative0.76
- CentML0.75
- HumanSignal0.75
- TrueFoundry0.74
- Lightning AI0.73
- WhyLabs0.72
0 Cluster: ODSC · MLOps World circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 10 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| IBM | 6 | 60% |
| Lightning AI | 6 | 60% |
| 5 | 50% | |
| Elastic | 4 | 40% |
| Microsoft | 4 | 40% |
| NVIDIA | 4 | 40% |
| AI Makerspace | 3 | 30% |
| Databricks | 3 | 30% |
| lakeFS | 3 | 30% |
| Neo4j | 3 | 30% |
| Union.ai | 3 | 30% |
| Valohai | 3 | 30% |
| VESSL AI | 3 | 30% |
| Weights & Biases | 3 | 30% |
| XetHub | 3 | 30% |
Neighborhood: companies with nearby conference footprints
Outerbounds (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 10
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyTorch Conference 2025 | Oct 22–23, 2025 | San Francisco, United States | Silver | Silver |
| 6th Annual MLOps World | GenAI Summit 2025 | Oct 8–9, 2025 | Austin, United States | Gold Sponsors | Gold |
| 9th Annual Toronto Machine Learning Summit (TMLS) 2025 | Jun 13–18, 2025 | Toronto, Canada | Sponsors | Other |
| 5th Annual MLOps World and Generative AI World Conference 2024 | Nov 7–8, 2024 | Austin, United States | Gold Sponsors | Gold |
| ODSC West 2024 | Oct 29–31, 2024 | Burlingame, United States | Silver Partners | Silver |
| PyTorch Conference 2024 | Sep 18–19, 2024 | San Francisco, United States | Silver | Silver |
| 8th Annual Toronto Machine Learning Summit (TMLS) 2024 | Jul 10–15, 2024 | Toronto, Canada | Exhibitors | Other |
| ODSC East 2024 | Apr 23–25, 2024 | Boston, United States | Silver Partners | Silver |
| Scale By the Bay 2023 | Nov 13–15, 2023 | Oakland, United States | Gold | Gold |
| 4th Annual MLOps World Conference & Expo 2023 | Oct 25–26, 2023 | Austin, United States | Exhibitors | Other |
Speakers 20
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Saurabh Garg | PyData Seattle 2025 | speaker | Optimizing AI/ML Workloads: Resource Management and Cost Attribution | Video |
| Ville Tuulos | 6th Annual MLOps World | GenAI Summit 2025 | speaker | Metaflow: The Baseplate for Agentic Systems | — |
| Ville Tuulos | 6th Annual MLOps World | GenAI Summit 2025 | speakers_corner | Agentic Metaflow in Action | — |
| Eddie Mattia | 5th Annual MLOps World and Generative AI World Conference 2024 | workshop | MLOps Template for Time Series in Production | — |
| Savin Goyal | 5th Annual MLOps World and Generative AI World Conference 2024 | speaker | Fast and Reproducible: Taming AI/ML Dependencies | — |
| Ville Tuulos | Data Council Austin 2024 | talk | Beyond MLOps: Building AI systems with Metaflow | — |
| Valay Dave | PyData NYC 2023 | speaker | Building Robust Reactive ML Systems In A Multiplayer Setting With Metaflow | Video |
| Eddie Mattia | 4th Annual MLOps World Conference & Expo 2023 | workshop (virtual) | LLMs in Practice: A Guide to Recent Techniques and Trends | — |
| Eddie Mattia | 4th Annual MLOps World Conference & Expo 2023 | lightning | LLMs from Hallucinations to Relevant Responses | — |
| Ville Tuulos | 4th Annual MLOps World Conference & Expo 2023 | workshop (virtual) | LLMs in Practice: A Guide to Recent Techniques and Trends | — |
| Savin Goyal | Airflow Summit 2023 | talk | Better Airflow with Metaflow : A modern human-centric ML infrastructure stack | Video |
| Hugo Bowne-Anderson | SciPy 2023 | tutorial | Full-stack Machine Learning for Data Scientists | — |
| Savin Goyal | SciPy 2023 | tutorial | Full-stack Machine Learning for Data Scientists | — |
| savin goyal | PyData Seattle 2023 | speaker | Enterprise-grade Full Stack ML Platform: why human-centricity matters? | Video |
| Savin Goyal | PyData NYC 2022 | speaker | Human-Friendly, Production-Ready Data Science Stack with Metaflow & Kubernetes | Video |
| Hugo Bowne-Anderson | SciPy 2022 | tutorial | Bayesian Data Science by Simulation | — |
| Hugo Bowne-Anderson | SciPy 2022 | tutorial | Full-stack Machine Learning for Data Scientists | — |
| Savin Goyal | SciPy 2022 | tutorial | Full-stack Machine Learning for Data Scientists | — |
| Savin Goyal | SciPy 2022 | speaker | Human-Friendly, Production-Ready Data Science with Metaflow | — |
| Ville Tuulos | Data Council Austin 2022 | talk | The Modern Stack for ML Infrastructure | — |