Data Conference Databasea Query.Farm index
Companies

scieneers

Product category: GenAI & LLMs 50% confident
Org type: Consultancy 58% confident
Also listed as 4 other names

Scieneers · scieneers GmbH · scieneers GmbH. As · scieneers/RWTH Aachen

Conferences sponsored1
Events sponsored1
Speaker slots2711 distinct people
Conferences present at4sponsor or speaker
Years active2022–2026
Talks, past 12 months4#561 on the communication index · many voices · −25% this year

Circuit mix

Where scieneers shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.

The year around now

Conferences where scieneers 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.

JanFebMarAprMayJunJulAugSepOctNovDecSQL KonferenzSQL KonferenzPyDataPyDataMinds Mastering MachinesMinds Mastering Machines (M3)
Held in the past 12 months Next 12 months Today, Nov 9, 2026

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
Conference20192020202120222023202420252026
Minds Mastering Machines (M3)
PyData
data2day
SQL Konferenz

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.

  • Other / unlabeled

Where they've grown or pulled back

Sponsored 1 conference in 2026, the first year on record.

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 1

First sponsored in 2025 or later.

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).

  1. inovex0.81
  2. Alexander Thamm GmbH0.78
  3. codecentric0.76
  4. Spare Cores0.75
  5. ZEISS0.75
  6. Xomnia0.74
  7. E.ON0.74
  8. Daikin Europe0.73

17 Cluster: PyData · QCon circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).

CompanyShared eventsShare
Daten-WG1100%
db Berater GmbH1100%
dbWatch1100%
e-team (event-team.com)1100%
GDS Business Intelligence GmbH1100%
GermanTechJobs1100%
Idera1100%
inovex1100%
IT-Schulungen.com1100%
Melissa1100%
Microsoft1100%
oh22data AG1100%
Redgate1100%
SelectZero1100%
Solisyon1100%

Neighborhood: companies with nearby conference footprints

scieneers (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.

scieneersAlexander Thamm GmbHinovexcodecentricKern AIE.ONRabobankXomniaLufthansa Group Business ServicesABN AMRODaikin EuropeTNGNovatecBASFSpare CoresWomen Who CodeMerckDelivery HeroLucidworksZEISSmobile.deGoDataDrivenGetYourGuideBytewaxQBE InsuranceMaltPluralsightAetnaHopsworks
scieneersAlexander Thamm GmbHinovexcodecentricKern AIE.ONRabobankXomniaABN AMRODaikin EuropeTNGBASFSpare CoresMerckbol.comDelivery HeroLucidworksZEISSmobile.deGoDataDrivenGetYourGuideBytewaxMaltPluralsightAetnaHopsworks

Sponsorships 1

EventDatePlaceTier as listedNormalized tier
SQL Konferenz 2026Mar 2–4, 2026Hanau, GermanyCommunity Supporter Community

Speakers 27

SpeakerEventRoleTalkLinks
Arne GrobrüggeMinds Mastering Machines 2026talkRAG-Dokumenten-Pipelines mit multimodalen Embedding-Modellen—
Martin DannerMinds Mastering Machines 2026talkGenolator: Ein multimodales Sprachmodell aus der Genommedizin—
Mats FaulbornMinds Mastering Machines 2026talkZwischen Slop und kreativem Schaffen: Was KI-Bildgenerierung wirklich kann—
Alina DallmannPyCon DE & PyData 2026talkBeyond Vibe-Coding: A Practitioner's Guide to Spec-Driven Development in AI Engineering—
Alina DallmannPyData Berlin 2025talkOne API to Rule Them All? LiteLLM in ProductionVideo
Alina DallmannMinds Mastering Machines 2025talkEntwicklung robuster & skalierbarer RAG-Systeme: Lessons Learned aus fünf Anwendungsfällen—
Arne GrobrüggeMinds Mastering Machines 2025talkAutonomes Browsen mit Large Action Models aka LLM-Agents—
Arne GrobrüggeMinds Mastering Machines 2025talkEntwicklung robuster & skalierbarer RAG-Systeme: Lessons Learned aus fünf Anwendungsfällen—
Martin DannerMinds Mastering Machines 2025talkKlinische Entscheidungsfindung mit AlphaFold und Graph Neuronalen Netzen—
Nico KreilingMinds Mastering Machines 2025talkAutonomes Browsen mit Large Action Models aka LLM-Agents—
Nico Kreilingdata2day 2024talkSiloX-GPT: Datensilos verbinden mittels Multi-Agenten-System—
Jan HöllmerMinds Mastering Machines 2024talkVektordatenbank-Optimierung: Balance zwischen Speicher, Geschwindigkeit und Genauigkeit—
Martin DannerMinds Mastering Machines 2024talkML trifft auf Genommedizin: Neue Wege Diagnose und Therapie seltener Erkrankungen—
Jan Höllmerdata2day 2023talkVorhersage von Wärmebedarfen mit Temporal Fusion Transformern—
Martin Dannerdata2day 2023talkVorhersage von Wärmebedarfen mit Temporal Fusion Transformern—
Martin DannerMinds Mastering Machines 2023talkTransformer Meets Time-Series: Temporal Fusion Transformer im Einsatz—
Martin DannerMinds Mastering Machines 2023talkModellkomprimierung mit Open-Source-Bibliotheken: Optimierung neuronaler Netze in Kundenprojekten—
Nico KreilingMinds Mastering Machines 2023talkEine Einführung in Polars von einem Pandas-Fan—
Alina BickelPyCon DE & PyData Berlin 2023talk“Who is an NLP expert?” - Lessons Learned from building an in-house QA-system—
Nico KreilingPyCon DE & PyData Berlin 2023talkRaised by Pandas, striving for more: An opinionated introduction to Polars—
Nico KreilingPyCon DE & PyData Berlin 2023talk“Who is an NLP expert?” - Lessons Learned from building an in-house QA-system—
Lena Trautmanndata2day 2022talkUnit-Testing mit Pytest für Data Scientists—
Florence LopezMinds Mastering Machines 2022talkPredictive Maintenance bei Windenergieanlagen—
Martin DannerMinds Mastering Machines 2022talkData Science in Production – Wärmebedarfsprognosen in der Cloud—
Nico KreilingMinds Mastering Machines 2022talkBeyond Notebooks: Interaktive Datenverarbeitung mit Dashboards—
Alexandra WörnerPyCon DE & PyData Berlin 2022talkA data scientist's guide to code reviews—
Tobias HoinkaPyCon DE & PyData Berlin 2022talkPredictive Maintenance and Anomaly Detection for Wind Energy—