Data Conference Databasea Query.Farm index
Companies

Alegion

Product category (jev): unsure; best guess “ML platforms” at 26% confidence, so it isn't used in filters or charts
Org type (jev): unsure; best guess “Software vendor” at 49% confidence
Conferences sponsored6
Events sponsored10
Speaker slots22 distinct people
Conferences present at6sponsor or speaker
Years active2019–2022

Circuit mix

Where Alegion 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.

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
  • Silver
  • Other / unlabeled

Where they've grown or pulled back

DownNothing recorded in 2026; sponsored 1 conference 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.

Steady 1

Sponsored in most years of its span at the same tier.

Once or on and off 5

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. iMerit0.88
  2. KNIME0.81
  3. Innodata0.80
  4. DataForce Solutions GmbH0.76
  5. Appen0.69
  6. Further0.68
  7. MathWorks0.67
  8. Algorithmia0.67

0 Cluster: ODSC · MLOps World circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 10 this company sponsored).

Neighborhood: companies with nearby conference footprints

Alegion (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.

AlegionKNIMEiMeritInnodataAppenDataForce Solutions GmbHS&P GlobalZeplFiddler AISnorkel AIGMI CloudValohaiSeldonQwaklakeFSAporiaIguazioTectonPachydermEinblickGretelFurtherCleanlabbemCrewAIFord Motor CompanyHidden DoorXetHubFennelFeatureformIterative
AlegionKNIMEiMeritInnodataAppenDataForce Solutions GmbHS&P GlobalZeplFiddler AISnorkel AIGMI CloudValohaiSeldonQwaklakeFSAporiaIguazioTectonPachydermEinblickGretelFurtherCleanlabbemCrewAIXetHubFennel

Sponsorships 10

EventDatePlaceTier as listedNormalized tier
ODSC West 2022Nov 1–3, 2022Burlingame, United StatesGold Partners Gold
The AI Summit New York 2021Dec 8–9, 2021New York, United StatesExhibitors Other
Data Day Texas 2020Jan 25, 2020Austin, United StatesSilver Sponsors Silver
The AI Summit New York 2019Dec 11–12, 2019New York, United StatesExhibitors Other
NeurIPS 2019Dec 8–14, 2019Vancouver, CanadaSilver Silver
ODSC West 2019Oct 29, 2019 – Nov 1, 2019Burlingame, United StatesGold Partners Gold
O'Reilly Artificial Intelligence Conference San Jose 2019Sep 9–12, 2019San Jose, United StatesExhibitors Other
ODSC East 2019Apr 30, 2019 – May 3, 2019Boston, United StatesGold Partners Gold
O'Reilly Artificial Intelligence Conference New York 2019Apr 15–18, 2019New York, United StatesExhibitors Other
The Texas AI Summit 2019Jan 25, 2019Austin, United StatesSponsors Other

Speakers 2

SpeakerEventRoleTalkLinks
Brent SchneemanData Day Texas 2020speakerBigger data vs. better math: which is most effective in ML?—
Cheryl MartinThe Texas AI Summit 2019speakerAddressing Training Data Bias in Machine Learning—