Guardrails AI
Circuit mix
Where Guardrails 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 & MLOps57%3 events
- Software engineering & trading tech29%2 events
- Modern data stack & practitioner14%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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| MLOps World (Machine Learning in Production) | ||||||||||
| QCon | ||||||||||
| AI Engineer (World's Fair, Summit and regional editions) | ||||||||||
| Data Council |
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.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference 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.
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).
- Braintrust0.86
- Arize AI0.77
- Arcee AI0.74
- Zipline AI0.73
- Neptune0.72
- Featureform0.72
- LanceDB0.70
- Royal Bank of Canada0.69
1 Cluster: AI Engineer · MLOps World 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 |
|---|---|---|
| AI Makerspace | 1 | 100% |
| AITX Community | 1 | 100% |
| Analytics on Fire Podcast | 1 | 100% |
| Aporia | 1 | 100% |
| Appen | 1 | 100% |
| AryaXAI | 1 | 100% |
| Ask AI | 1 | 100% |
| Austin LangChain AI Middleware User Group (AIMUG) | 1 | 100% |
| AutoAlign | 1 | 100% |
| CentML | 1 | 100% |
| Codeium | 1 | 100% |
| DagsHub | 1 | 100% |
| Data Science Dojo | 1 | 100% |
| Decoding ML | 1 | 100% |
| DoltHub | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Guardrails 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 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| 5th Annual MLOps World and Generative AI World Conference 2024 | Nov 7–8, 2024 | Austin, United States | Start-Up Corner | Startup |
Speakers 6
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Shreya Rajpal | Data Council 2025 | talk | The Future Of Guardrails | — |
| Shreya Rajpal | 5th Annual MLOps World and Generative AI World Conference 2024 | speaker | Building AI Infrastructure for GenAI Wave | — |
| Shreya Rajpal | 4th Annual MLOps World Conference & Expo 2023 | speaker | Your AI Applications Need Guardrails: Here's How To Build Them | — |
| Shreya Rajpal | AI Engineer Summit 2023 | speaker | Trust, but Verify | Video |
| Shreya Rajpal | QCon San Francisco 2023 | speaker | Building Guardrails for Enterprise AI Applications W/ LLMs | — |
| Shreya Rajpal | QCon San Francisco 2022 | speaker | Declarative Machine Learning: A Flexible, Modular and Scalable Approach for Building Production ML Models | — |