Data Conference Databasea Query.Farm index
Companies

Arcee AI

Product category (jev): GenAI & LLMs 95% confident
Org type (jev): Software vendor 92% confident
Also listed as: Arcee.ai
Conferences sponsored1
Events sponsored1
Speaker slots97 distinct people
Conferences present at6sponsor or speaker
Years active2024–2026

Circuit mix

Where Arcee AI 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.

  • 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. Braintrust0.90
  2. Runway0.85
  3. TwelveLabs0.83
  4. Conductor0.83
  5. Arize AI0.82
  6. Pinecone0.81
  7. Boundary0.80
  8. turbopuffer0.80

1 Cluster: AI Engineer · MLOps World circuit →

Often sponsors alongside

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

CompanyShared eventsShare
1Password1100%
Accenture1100%
Acrew Capital1100%
Adobe1100%
Agentfield1100%
AgentMail1100%
AIDAChip1100%
Aikido1100%
Airbyte1100%
Akamai1100%
Amazon Web Services1100%
Ampersand1100%
Amplify Partners1100%
Andon Labs1100%
Anterior1100%

Neighborhood: companies with nearby conference footprints

Arcee AI (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.

Arcee AIBoundaryDocuSignBraintrustRiot GamesArize AIMaerskTavilyGalileoGuardrails AIPineconeConductorWarpcommercetoolsCharacter.aiTailscaleContextual AIMergePostHogRunwayCoatueZeta GlobalJPMCWorkatoturbopufferGrowthBookZSReductoCursor
Arcee AIBoundaryDocuSignBraintrustRiot GamesArize AIMaerskTavilyGalileoGuardrails AIPineconeConductorWarpcommercetoolsCharacter.aiTailscaleContextual AIMergePostHogCoatueZeta GlobalJPMCWorkatoGrowthBookZSCursor

Sponsorships 1

EventDatePlaceTier as listedNormalized tier
AI Engineer World's Fair 2026Jun 29, 2026 – Jul 2, 2026San Francisco, United StatesSupporting Partners Other

Speakers 9

SpeakerEventRoleTalkLinks
Gerred DillonReverie 2026keynoteRethinking AI Infrastructure—
Lucas AtkinsAI Engineer World's Fair 2026speakerLocal Models: Trust, Control, OptimizationVideo
Varun SinghAI Engineer World's Fair 2026speakerThe Base Model is DeadVideo
Lucas AtkinsAI Council 2026panelThe Open Layer: How Open Models, Routing, and Inference Are Reshaping Agentic Engineering—
Lucas AtkinsAI Council 2026talkTrinity: Training a 400B MoE from Scratch Without Losing Your Mind—
Prince CanumaAI Engineer Europe 2026speakerMLX Genmedia—
Mariam Jabara6th Annual MLOps World | GenAI Summit 2025lightningSLMs + Fine-Tuning: Building the Infrastructure for Multi-Agent Systems—
Julien SimonBudapest Data+ML Forum 2025speakerImplementing High-Quality and Cost-Efficient AI Applications with Small Language Models—
Mark McQuadeAWS re:Invent 2024breakoutCustomer stories: Optimizing AI performance and cost with AWS AI chipsVideo