Data Conference Databasea Query.Farm index
Companies

Myrtle.ai

Product category: ML platforms 90% confident
Org type: Software vendor 96% confident
Also listed as 1 other name

myrtle.ai

Conferences sponsored1
Events sponsored6
Speaker slots198 distinct people
Conferences present at1sponsor or speaker
Years active2022–2026
Talks, past 12 months4#549 on the communication index · many voices · −20% this year

Circuit mix

Where Myrtle.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.

The year around now

Conferences where Myrtle.ai 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.

JanFebMarAprMayJunJulAugSepOctNovDecSTAC SummitSTAC Summit
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.

  • Title
  • Platinum
  • Gold
  • Silver
  • Bronze
  • Other / unlabeled tier
  • Had speakers
Conference20192020202120222023202420252026
STAC Summit

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.

  • Other / unlabeled

Where they've grown or pulled back

FlatSponsored 1 conference in 2026, flat 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.

Steady 1

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

Not on the company map: lookalikes are computed only for companies present at four or more conferences.

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 6 this company sponsored).

CompanyShared eventsShare
Arista6100%
DDN583%
Dell Technologies583%
Keysight583%
Intel467%
Groq350%
Hypertec350%
KX350%
Liquid-Markets350%
Options Technology350%
Supermicro350%
WekaIO350%
Amazon Web Services233%
AMD233%
Amulet Hotkey233%

Sponsorships 6

EventDatePlaceTier as listedNormalized tier
STAC Summit New York, Fall 2026Oct 21, 2026New York, United StatesTech discovery Other
STAC Summit London, Fall 2026Oct 6, 2026London, United KingdomTech discovery Other
STAC Summit Tokyo, Fall 2025Sep 18, 2025Tokyo, JapanADDITIONAL EXHIBITORS Other
STAC Summit London, Fall 2022Nov 30, 2022London, United KingdomExhibitor Other
STAC Summit New York, Fall 2022Oct 19, 2022New York, United StatesExhibitor Other
STAC Summit London, Spring 2022May 19, 2022London, United KingdomExhibitor Other

Speakers 19

SpeakerEventRoleTalkLinks
Peter BaldwinSTAC Summit New York, Fall 2026speakerAI inference: does optimizing latency mean sacrificing model flexibility?—
Patrick BeartSTAC Summit London, Fall 2026speakerML inference: does optimizing latency mean sacrificing model flexibility?—
Tom LagattaSTAC Summit New York, Spring 2026speakerBarriers Broken in ML Inference Latency—
Conor WilliamsSTAC Summit London, Spring 2026speakerBarriers Broken in ML Inference Latency—
Peter BaldwinSTAC Summit New York, Fall 2025speakerModel Evolution in Lowest Latency ML Inference—
Aiken CairncrossSTAC Summit London, Fall 2025speakerModel Evolution in Lowest Latency ML Inference—
Giles PeckhamSTAC Summit Tokyo, Fall 2025speakerSecuring the lowest latency inference while retaining ML model flexibility / ML モデルの柔軟性を保ちながら最低レイテンシ推論—
Peter BaldwinSTAC Summit New York, Spring 2025speakerMoving ML inference closer to the network for sub-microsecond latency—
Aiken CairncrossSTAC Summit London, Spring 2025speakerMoving ML inference closer to the network for sub-microsecond latency—
Aiken CairncrossSTAC Summit London, Fall 2024speakerFast Compute: How fast is Fast?—
Basile HenrySTAC Summit Chicago, Fall 2024speakerFast Compute: How fast is Fast?—
Aiken CairncrossSTAC Summit New York, Fall 2024speakerFast Compute: How fast is Fast?—
Liz CorriganSTAC Summit Chicago, Spring 2024speakerHow fast can my AI model run?—
Liz CorriganSTAC Summit New York, Spring 2024speakerHow fast can my AI model run?—
Liz CorriganSTAC Summit London, Spring 2024speakerHow fast can my AI model run?—
Liz CorriganSTAC Summit London, Fall 2023speakerLow-latency convolution-based ML inference on market data—
Liz CorriganSTAC Summit New York, Fall 2023speakerLow-latency convolution-based ML inference on market data—
Liz CorriganSTAC Summit New York, Spring 2023speakerBe the first to respond to market changes. What does it take?—
Liz CorriganSTAC Summit London, Spring 2023speakerBe the first to respond to market changes. What does it take?—