Data Conference Databasea Query.Farm index
Companies

Revolut

Product category: unsure; best guess “Other software” at 43% confidence, so it isn't used in filters or charts
Org type: End-user enterprise 100% confident
Also listed as 1 other name

REVOLUT

Conferences sponsored3
Events sponsored4
Speaker slots88 distinct people
Conferences present at7sponsor or speaker
Years active2019–2026
Talks, past 12 months1#1748 on the communication index · many voices

Circuit mix

Where Revolut 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 Revolut 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.

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.

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
  • Other / unlabeled

Where they've grown or pulled back

UpSponsored 2 conferences in 2026, up from 1 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.

New 2

First sponsored in 2025 or later.

Once or on and off 1

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. Sentry0.88
  2. Pydantic0.83
  3. Apify0.80
  4. Sourcegraph0.78
  5. Vercel0.77
  6. deepset0.76
  7. Bank of America0.76
  8. Mercado Libre0.75

6 Cluster: PyCon · EuroPython circuit →

Often sponsors alongside

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

Neighborhood: companies with nearby conference footprints

Revolut (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.

RevolutPydanticSentryApifyThe New StackFly.ioDescopeDigitalOceanAuth0TemporalBlockdeepsetAnthropicAkamaiDockerHugging FaceDeepgramAtlassianPayPalApollo GraphQLCodeRabbitAuthZedSnykVespa.aiChainguardGalileoIntercomGitHubTetrateSuperlinked
RevolutPydanticSentryApifyThe New StackFly.ioDescopeDigitalOceanAuth0TemporalBlockdeepsetAnthropicAkamaiDockerHugging FaceDeepgramAtlassianCloudflarePayPalCodeRabbitAuthZedSnykVespa.aiChainguardGalileoIntercomGitHubTetrateSuperlinked

Sponsorships 4

EventDatePlaceTier as listedNormalized tier
AI Engineer New York 2026Oct 12–14, 2026New York, United StatesSupporting Partners Other
EuroPython 2026Jul 13–19, 2026Kraków, PolandGold Gold
PyCon Lithuania 2025Apr 22–26, 2025Vilnius, LithuaniaGold Gold
PyCon PL 2022Nov 3–6, 2022Gliwice, PolandGold Gold

Speakers 8

SpeakerEventRoleTalkLinks
David AbitbolAI Engineer New York 2026speakerShipping like a startup, regulated like a bankVideo
Hanna DanilovichPyCon Lithuania 2025talkFrom Raw Transactions to Insights: The Power of Embeddings in Fintech—
Mark FuksonPyCon Lithuania 2025talkBeyond Deployment: Continuously Adding Features to Drive Marginal Gains in Models—
Sérgio AmorimQCon London 2025speakerExtreme DevOps Automation—
Idreece KhanCDAO Germany 2024speakerDiscussion Group B: Building Consumer Trust through Ethical AI Adoption—
Wojtek PtakQCon London 2024speakerUnveiling the Tech Underpinning FinTech's Revolution—
Nik StoronskyThe AI Summit London 2021featured——
Soups RanjanData Council San Francisco 2019talkData Security and Privacy in the Age of Machine Learning—