Agnostiq (Covalent)
Circuit mix
Where Agnostiq (Covalent) 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 & MLOps50%2 events
- Python & R data science50%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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| MLOps World (Machine Learning in Production) | ||||||||||
| SciPy Conference (Scientific Computing with Python) | ||||||||||
| PyData | ||||||||||
| AI Engineer (World's Fair, Summit and regional editions) |
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.
- Silver
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 2 conferences in 2022.
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 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- MLOps World (Machine Learning in Production)once, 2022, Silver
- SciPy Conference (Scientific Computing with Python)once, 2022, 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).
- Union.ai0.79
- Guardrails AI0.68
- HumanSignal0.68
- Braintrust0.67
- Ocado Technology0.66
- Neptune0.65
- Arize AI0.65
- Outerbounds0.64
8 Cluster: PyData · posit::conf circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 2 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| IBM | 2 | 100% |
| Aggregate Intellect | 1 | 50% |
| Amazon Web Services | 1 | 50% |
| Anaconda | 1 | 50% |
| Aporia | 1 | 50% |
| Arize AI | 1 | 50% |
| BCG | 1 | 50% |
| BlackLocus | 1 | 50% |
| Capital One | 1 | 50% |
| Chan Zuckerberg Initiative | 1 | 50% |
| ClearML | 1 | 50% |
| Deepgram | 1 | 50% |
| Enthought | 1 | 50% |
| Featureform | 1 | 50% |
| Genesis Cloud | 1 | 50% |
Neighborhood: companies with nearby conference footprints
Agnostiq (Covalent) (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 2
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| SciPy 2022 | Jul 11–17, 2022 | Austin, United States | Silver | Silver |
| 3rd Annual MLOps World 2022 | Jun 9–10, 2022 | Toronto, Canada | Silver Sponsors | Silver |
Speakers 4
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Santosh Radha | AI Engineer World's Fair 2024 | speaker | Covalent Launch: The GPU Cheatcode: Fine-tune 20 Llama Models in 5 Minutes | Video |
| Ara Ghukasyan | PyData NYC 2023 | tutorial | Covalent - A New Paradigm for High Compute Cloud Workloads in the Age of LLM and Generative AI | Video |
| santosh kumar radha | PyData NYC 2023 | tutorial | Covalent - A New Paradigm for High Compute Cloud Workloads in the Age of LLM and Generative AI | Video |
| Santosh Radha PhD | 3rd Annual MLOps World 2022 | speaker | Covalent: A Workflow Manager for Hardware and Language Agnostic Distributed ML Workflows | — |