Simular
Circuit mix
Where Simular shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research73%4 events
- AI engineering & MLOps27%2 events
The year around now
Conferences where Simular 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
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.
- Silver
Where they've grown or pulled back
UpSponsored 2 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 4
First sponsored in 2025 or later.
- AI Engineer (World's Fair, Summit and regional editions)first sponsored 2026, Silver
- ICLR (International Conference on Learning Representations)first sponsored 2025, Silver
- ICML (International Conference on Machine Learning)first sponsored 2026, Silver
- NeurIPS (Conference on Neural Information Processing Systems)first sponsored 2025, Silver
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition)last sponsored 2024; the conference ran again in 2025–26
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).
- DatologyAI0.91
- Ollama0.89
- Encord0.89
- DeepMind0.87
- Waymo0.85
- Exa0.84
- Cartesia AI0.84
- TikTok0.83
0 Cluster: NeurIPS · ICML circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 5 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 5 | 100% | |
| Alibaba Cloud | 4 | 80% |
| Amazon Web Services | 4 | 80% |
| Apple | 4 | 80% |
| ByteDance | 4 | 80% |
| Jane Street | 4 | 80% |
| Microsoft | 4 | 80% |
| Nebius | 4 | 80% |
| OpenAI | 4 | 80% |
| Scale AI | 4 | 80% |
| Abu Dhabi Investment Authority (ADIA) | 3 | 60% |
| Ant Group | 3 | 60% |
| Baidu | 3 | 60% |
| Citadel | 3 | 60% |
| The D. E. Shaw Group | 3 | 60% |
Neighborhood: companies with nearby conference footprints
Simular (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 5
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| ICML 2026 | Jul 6–11, 2026 | Seoul, South Korea | Silver | Silver |
| AI Engineer Singapore 2026 | May 15–17, 2026 | Singapore, Singapore | Silver | Silver |
| NeurIPS 2025 (San Diego) | Dec 2–7, 2025 | San Diego, United States | Silver Pavilion | Silver |
| ICLR 2025 | Apr 24–28, 2025 | Singapore, Singapore | Silver | Silver |
| CVPR 2024 | Jun 17–21, 2024 | Seattle, United States | Silver | Silver |
Speakers 2
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Ang Li | AI Engineer World's Fair 2026 | speaker | The Autonomous Computer: Full-stack Infrastructure for Computer Use Agents | Video |
| Li Hau Tan | AI Engineer Singapore 2026 | speaker | From Playing Solitaire to Operating ERP Software: Why Does Your Computer Need to Learn Click and Type? | — |