Data Conference Databasea Query.Farm index
Companies

Superlinked

Product category (jev): Operational databases 80% confident
Org type (jev): Software vendor 98% confident
Also listed as: superlinked
Conferences sponsored4
Events sponsored4
Speaker slots94 distinct people
Conferences present at6sponsor or speaker
Years active2023–2026

Circuit mix

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

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

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.

  • Gold
  • Other / unlabeled

Where they've grown or pulled back

DownSponsored 1 conference in 2026, down from 2 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.

New 2

First sponsored in 2025 or later.

Once or on and off 2

No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.

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. Vespa.ai0.85
  2. Cognee0.79
  3. OTTO0.70
  4. Qdrant0.69
  5. Factory0.67
  6. Pinecone0.66
  7. Restate0.66
  8. Stackable0.65

1 Cluster: AI Engineer · MLOps World circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 4 this company sponsored).

CompanyShared eventsShare
Microsoft375%
Dataiku250%
Elastic250%
Google250%
H2O.ai250%
IBM250%
Neo4j250%
Quix250%
42Maru125%
Ably125%
Acceldata125%
Accenture125%
access-partnership125%
Actian125%
Adaptive ML125%

Neighborhood: companies with nearby conference footprints

Superlinked (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.

SuperlinkedVespa.aiQdrantCogneeOTTOBoxWorkatoPayPalMergeJFrogGrammarlySolo.ioRoyal Bank of CanadaTELUSAkamaiArcade.devTetrateApollo GraphQLRiot GamesYou.comWorkdayGEICOPyTorchTrueFoundryTailscaleLanceDBGuardrails AICharles SchwabWarpSnykBlock
SuperlinkedVespa.aiQdrantOTTOBoxWorkatoPayPalMergeJFrogGrammarlySolo.ioTELUSAkamaiArcade.devTetrateApollo GraphQLRiot GamesYou.comWorkdayGEICOPyTorchTailscaleLanceDBGuardrails AICharles SchwabWarpBlock

Sponsorships 4

EventDatePlaceTier as listedNormalized tier
AI Engineer Europe 2026Apr 8–10, 2026London, United KingdomSUPPORTING PARTNERS Other
Berlin Buzzwords 2025Jun 15–17, 2025Berlin, GermanyGold Partners Gold
Big Data LDN 2023Sep 20–21, 2023London, United KingdomExhibitor Unlabeled
The AI Summit London 2023Jun 14–15, 2023London, United KingdomExhibitor (sitemap slug) Other

Speakers 9

SpeakerEventRoleTalkLinks
Daniel SvonavaAI Engineer World's Fair 2026speakerLarge clusters for small models—
Filip MakraduliAI Engineer World's Fair 2026expo sessionTurning My Obsidian Vault Into a Local AI EngineerVideo
Filip MakraduliAI Engineer World's Fair 2026speakerWeight Folding, CUDA Streams, and the Bug That Made My Model Speak BackwardsVideo
Filip MakraduliBerlin Buzzwords 2026talkOne GPU, Four Retrieval Modes: Multi-Model Search ServingVideo
Filip MakraduliAI Engineer Europe 2026speakerThe Embedding Infrastructure Nobody Built (So We Did)—
Filip MakraduliHaystack EU 2025speakerFrom BM25 to Mixture-of-Encoders: Evaluations for Next-Gen Search and Retrieval SystemsVideo
Mor KapronczayBudapest Data+ML Forum 2025speakerMulti-modal information retrieval with lightning fast nearest neighbour search—
Ben GutkovichBerlin Buzzwords 2025talkMixture of Encoders: A Vector-Native Approach to SearchSlides · Video
Filip MakraduliBerlin Buzzwords 2025talkMixture of Encoders: A Vector-Native Approach to SearchSlides · Video