DeepUp GmbH
Also listed as 1 other name
DeepUp
Circuit mix
Where DeepUp GmbH 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 & MLOps91%10 events
- Enterprise, analyst & AI expos9%1 event
The year around now
Conferences where DeepUp GmbH 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 |
|---|---|---|---|---|---|---|---|---|
| MLCon (ML Conference) | ||||||||
| Minds Mastering Machines (M3) | ||||||||
| data2day |
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.
Where they've grown or pulled back
DeepUp GmbH has never sponsored a tracked conference, so this follows where its speakers appear instead.
DownHad speakers at 1 conference in 2026, down from 3 in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.
No longer seen 2
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- data2daylast seen 2023; the conference ran again with speaker lists in 2024–26
- MLCon (ML Conference)last seen 2024; the conference ran again with speaker lists in 2025–26
Regulars 1
Speakers in most years of the span.
- Minds Mastering Machines (M3)speakers in 4 of 5 years, 2022–26
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 0 this company sponsored).
No co-sponsors: this company has no recorded sponsorships, or sponsored alone.
Sponsorships 0
No sponsorships recorded for DeepUp GmbH.
Speakers 15
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Hauke Brammer | Minds Mastering Machines 2026 | talk | OpenClaw entzaubert: Architektur, Risiken und Grenzen moderner Agenten | — |
| Hauke Brammer | MLcon Berlin 2024 | speaker | Scaling MLOps with Argo Workflows: Lessons Learned | — |
| Hauke Brammer | MLcon Munich 2024 | speaker | Scalable Data Pipelines for ML: Integrating Argo Workflows and dbt | — |
| Hauke Brammer | MLcon Munich 2024 | speaker | KServe and Kubernetes: Model Serving at Scale | — |
| Hauke Brammer | Minds Mastering Machines 2024 | talk | Skalierbare ELT-Pipelines mit Argo Workflows und dbt | — |
| Hauke Brammer | MLCON 2023 Berlin | speaker | MLOps: 5 Ways to Deploy Your ML Model with Kubernetes | — |
| Hauke Brammer | data2day 2023 | talk | MLOps mit Argo Workflows und Kubernetes | — |
| Hauke Brammer | MLCON 2023 Munich | speaker | Kotlin and Machine Learning: A Match Made in Heaven? | — |
| Hauke Brammer | MLCON 2023 Munich | speaker | Streamlining Machine Learning With Argo Workflows and Kubernetes | — |
| Hauke Brammer | Minds Mastering Machines 2023 | talk | MLOps mit Argo Workflows und Kubernetes | — |
| Hauke Brammer | MLCON 2022 Munich | speaker | Kotlin? For Machine Learning? | — |
| Hauke Brammer | MLCON 2022 Munich | speaker | Keep an eye on AI — Monitor ML models in production | — |
| Hauke Brammer | Minds Mastering Machines 2022 | talk | Kotlin? Für Machine Learning? | — |
| Hauke Brammer | Minds Mastering Machines 2022 | talk | Keep an eye on AI – ML-Modelle in Produktion überwachen | — |
| Hauke Brammer | ML Conference Berlin 2021 | speaker | Keep an eye on AI — Monitor ML models in production | — |