Dyna Robotics
Circuit mix
Where Dyna Robotics shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Modern data stack & practitioner40%2 events
- Research40%1 event
- AI engineering & MLOps20%1 event
The year around now
Conferences where Dyna Robotics sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
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 |
|---|---|---|---|---|---|---|---|---|
| CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition) | ||||||||
| Reverie | ||||||||
| AI Engineer (World's Fair, Summit and regional editions) | ||||||||
| Airflow Summit |
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.
- Gold
Where they've grown or pulled back
Sponsored 1 conference 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 1
First sponsored in 2025 or later.
- CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition)first sponsored 2026, Gold
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).
- Zoox0.87
- Applied Intuition0.84
- MiniMax0.83
- Allen Institute for AI (AI2)0.82
- Encord0.77
- Aurora0.76
- Panasonic0.73
- The Johns Hopkins University, Carey Business School0.70
2 Cluster: AI Engineer · QCon 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 |
|---|---|---|
| Adobe | 1 | 100% |
| Alibaba Cloud | 1 | 100% |
| Allen Family Philantropies | 1 | 100% |
| Amazon Web Services | 1 | 100% |
| Ant Group | 1 | 100% |
| Appen | 1 | 100% |
| Apple | 1 | 100% |
| Applied Intuition | 1 | 100% |
| Aurora | 1 | 100% |
| Bagel Labs | 1 | 100% |
| Baidu | 1 | 100% |
| Baseten | 1 | 100% |
| beijin | 1 | 100% |
| Build Artificial Intelligence, PBC | 1 | 100% |
| ByteDance | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Dyna Robotics (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 |
|---|---|---|---|---|
| CVPR 2026 | Jun 3–7, 2026 | Denver, United States | Gold | Gold |
Speakers 4
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Zhipeng Yan | Reverie 2026 | panelist | Physical AI Researchers (panel) | — |
| Zhipeng Yan | Reverie 2026 | speaker | Data Infrastructure for Robotics Foundation Models | — |
| Saket Milind Karve | Airflow Summit 2026 | online reconnect talk | Compositional DAGs in Airflow: Fixing the Hidden Data Bottleneck in Physical AI Training | — |
| Jason Ma | AI Engineer World's Fair 2026 | expo session | Commercial Grade-Robots for Real World Usage | — |