INNOQ
Also listed as 2 other names
Innoq · innoQ Deutschland GmbH
Circuit mix
Where INNOQ shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Enterprise, analyst & AI expos82%5 events
- AI engineering & MLOps18%1 event
The year around now
Conferences where INNOQ 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 |
|---|---|---|---|---|---|---|---|---|
| data2day | ||||||||
| MLCon (ML Conference) |
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
- Bronze
Where they've grown or pulled back
UpSponsored 2 conferences in 2026, up from 1 in 2023.
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.
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 5 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| inovex | 4 | 80% |
| HMS Analytical Software | 2 | 40% |
| adorsys | 1 | 20% |
| andrena | 1 | 20% |
| APARAVI | 1 | 20% |
| Axway | 1 | 20% |
| datasqill | 1 | 20% |
| HUK Coburg | 1 | 20% |
| InterSystems | 1 | 20% |
| ModernRelay | 1 | 20% |
| Norma by Quality Clouds | 1 | 20% |
| PayPal | 1 | 20% |
| Prodato | 1 | 20% |
| QAware | 1 | 20% |
| Red Hat | 1 | 20% |
Sponsorships 5
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| MLcon Berlin 2026 | Nov 16–20, 2026 | Berlin, Germany | Bronze Sponsors | Bronze |
| data2day 2026 | Oct 6–8, 2026 | Cologne, Germany | Gold-Sponsoren | Gold |
| data2day 2025 | Nov 3–5, 2025 | Karlsruhe, Germany | Gold-Sponsoren | Gold |
| data2day 2024 | Sep 17–19, 2024 | Heidelberg, Germany | Gold-Sponsoren | Gold |
| data2day 2023 | Oct 11–13, 2023 | Karlsruhe, Germany | Gold-Sponsoren | Gold |
Speakers 12
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Stefan Negele | data2day 2026 | sponsored talk | Datenprodukte richtig schneiden: Heuristiken für die Praxis | — |
| Jochen Christ | data2day 2025 | talk | MCP für Datenprodukte | — |
| Simon Harrer | data2day 2025 | workshop | Data Contracts in der Praxis | — |
| Simon Harrer | data2day 2025 | talk | Data Governance mit GenAI automatisieren | — |
| Stefan Negele | data2day 2025 | talk | Data Governance für Entwickler:innen: Zwischen Pflicht, Portal und Purpose | — |
| Jochen Christ | data2day 2024 | talk | Data Contracts – Der Treiber für Automatisierung | — |
| Larysa Visengeriyeva | data2day 2024 | talk | Die Engineering-Perspektive auf den EU AI Act | — |
| Jochen Christ | data2day 2023 | talk | Data Mesh Governance | — |
| Larysa Visengeriyeva | data2day 2023 | talk | Architecting MLOps: Von der AI-Strategie zur MLOps-Plattform | — |
| Simon Harrer | data2day 2023 | talk | Test-driven Development mit dbt | — |
| Jochen Christ | data2day 2022 | talk | Data Mesh: Entwicklungsteams in einer domänenorientierten Datenarchitektur | — |
| Larysa Visengeriyeva | data2day 2022 | workshop | Back-of-the-Envelope Calculation for Machine Learning Projects – ML-Projekte schnell und strukturiert durchdenken | — |