Data Conference Databasea Query.Farm index
Companies

Tryolabs

Product category: ML platforms 52% confident
Org type: unsure; best guess “Consultancy” at 42% confidence
Conferences sponsored4
Events sponsored4
Speaker slots54 distinct people
Conferences present at6sponsor or speaker
Years active2022–2026

Circuit mix

Where Tryolabs 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 Tryolabs 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.

  • Silver
  • Other / unlabeled

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.

New 3

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.

  • PyDataonce, 2023, unranked tier

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. Grid Dynamics0.75
  2. Philips0.70
  3. University of Virginia0.64
  4. Hopsworks0.64
  5. Vattenfall0.63
  6. The HEINEKEN Company0.61
  7. Futurice0.60
  8. Rice University0.59

17 Cluster: PyData · QCon circuit →

Often sponsors alongside

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

CompanyShared eventsShare
Ab Initio375%
Collibra375%
Databricks375%
dbt Labs375%
Fivetran375%
IBM375%
Informatica375%
Neo4j375%
Oracle375%
Reltio375%
SAP375%
Snowflake375%
Actian250%
Airia250%
Alteryx250%

Neighborhood: companies with nearby conference footprints

Tryolabs (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.

TryolabsGrid DynamicsPhilipsMOSTLY AIThe HEINEKEN CompanyVattenfallbpBarclaysTomTomFuturiceIKEAVolkswagenMunich ReLiberty GlobalBBCXebiaHopsworksDeepLStat4decisionEuropean CommissionProbablMaltGrammarlyHelloFreshCVS HealthQBE InsuranceAllianzImperial College LondonBayerLidl InternationalThe New York Times
TryolabsGrid DynamicsPhilipsMOSTLY AIVattenfallbpBarclaysTomTomFuturiceIKEAVolkswagenMunich ReLiberty GlobalBBCXebiaHopsworksDeepLStat4decisionProbablMaltGrammarlyHelloFreshCVS HealthQBE InsuranceAllianzBayerThe New York Times

Sponsorships 4

EventDatePlaceTier as listedNormalized tier
Google Cloud Next '26Apr 22–24, 2026Las Vegas, United StatesFoundation Other
Gartner Data & Analytics Summit 2026 (Orlando)Mar 9–11, 2026Orlando, United StatesSilver Silver
Data Innovation Summit 2025May 7–8, 2025Stockholm, SwedenMedia Partners Media
PyData Seattle 2023Apr 26–28, 2023Redmond, United StatesSupporting Other

Speakers 5

SpeakerEventRoleTalkLinks
Ian SpektorSciPy 2024speakerSafe, fast, and easy time series preprocessing with Temporian—
Ian SpektorSciPy 2024tutorialA hands-on forecasting guide: from theory to practice—
Alan DescoinsPyData Seattle 2023panelistPanel: The living nature of data: exploring the Lifecycle and Management of Data at Scale—
Pablo AlfaroPyData Seattle 2023speakerUntangling the complexity of demand forecasting models: building a Market SimulatorVideo
Maia Brenner3rd Annual MLOps World 2022speakerProduction System and Not Go Up in Smoke—