Data Conference Databasea Query.Farm index
Companies

Mistral

Product category (jev): GenAI & LLMs 100% confident
Org type (jev): Software vendor 98% confident
Also listed as: Mistral AI
Conferences sponsored1
Events sponsored2
Speaker slots2120 distinct people
Conferences present at7sponsor or speaker
Years active2024–2027

Circuit mix

Where Mistral 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
Conference2019202020212022202320242025202620272028
AI Engineer (World's Fair, Summit and regional editions)
NeurIPS (Conference on Neural Information Processing Systems)
Big Data & AI Paris
Data Innovation Summit
MLOps World (Machine Learning in Production)
PyData
PyTorch Conference

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.

  • Platinum
  • Gold

Where they've grown or pulled back

FlatSponsored 1 conference in 2026, flat from 1 in 2024.

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.

Moved up 1

Best tier rose between the first and latest year with a ranked 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. Jump Trading0.79
  2. TikTok0.78
  3. Tesla0.77
  4. DatologyAI0.75
  5. Nebius0.72
  6. Together AI0.71
  7. Spotify0.70
  8. Kaggle0.70

11 Cluster: NeurIPS · ACM SIGKDD circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 2 this company sponsored).

CompanyShared eventsShare
Abu Dhabi Investment Authority (ADIA)2100%
Apple2100%
Capital One2100%
Cerebras2100%
Citadel2100%
Cohere2100%
Commonwealth Bank of Australia2100%
The D. E. Shaw Group2100%
DatologyAI2100%
DRW2100%
Exa2100%
Figma2100%
G-Research2100%
Google2100%
IBM2100%

Neighborhood: companies with nearby conference footprints

Mistral (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.

MistralTeslaTikTokJump TradingTogether AINatWest GroupReflection AINebiusDatologyAIZooxServiceNowCerebrasFigmaAstraZenecaWriterDeepMindCohereLovableBlackRockNovartisThomson ReutersRobloxGSKPerplexityJohnson & JohnsonPrior LabsCSIRO Data61RoboflowWells FargoKaggle
MistralTeslaTikTokJump TradingTogether AINatWest GroupReflection AINebiusZooxServiceNowCerebrasFigmaAstraZenecaEncordDeepMindCohereLovableBlackRockNovartisThomson ReutersRobloxGSKPerplexityPrior LabsCSIRO Data61Wells Fargo

Sponsorships 2

EventDatePlaceTier as listedNormalized tier
NeurIPS 2026 (Sydney)Dec 6–12, 2026Sydney, AustraliaPlatinum Platinum
NeurIPS 2024Dec 10–15, 2024Vancouver, CanadaGold Gold

Speakers 21

SpeakerEventRoleTalkLinks
Aleksandr TimashovData Innovation Summit 2027featured——
Alodie BoissonnetAI Engineer Paris 2026speakerOCR for Business documents—
Ben MorssAI Engineer Paris 2026speakerCode for free, by running an LLM on your own laptop—
Colin FrischAI Engineer Paris 2026speaker10mn to save hours on incident investigation - Building an Agent for Enterprise Use Cases—
Han HéloirAI Engineer Paris 2026speakerThe Model Is Probably Innocent—
Henry LagardeAI Engineer Paris 2026speakerOwn Your Agent: Building a Fully Sovereign Stack—
Ina KolevaAI Engineer Paris 2026speakerStop Telling Your Agent Where to Look—
Jen PersonAI Engineer Paris 2026speakerWelcome to AI Engineer Paris 2026!—
Joffrey ThomasAI Engineer Paris 2026speakerMistral's model catalogue through demos—
Juliette ChevrièreAI Engineer Paris 2026speakerOCR for Business documents—
Lélio Renard LavaudAI Engineer Paris 2026speakerBuilding Frontier AI—
Octave RaimbaultAI Engineer Paris 2026speakerThe Human Attention Budget—
Yann LegerAI Engineer Paris 2026speakerBuilding the infrastructure behind the next-generation of AI—
Samuel HumeauAI Engineer Europe 2026speakerMainstream TTS model architecture—
Patrick von PlatenPyTorch Conference Europe 2026keynoteKeynote: Stream Everything - Moving from Request input to Streaming input—
Baptiste RozièreAI Engineer Summit 2025 (New York)expo sessionMistral for VPs of AI—
Leigh PemberAI Engineer Summit 2025 (New York)expo sessionMistral for VPs of AI—
Sophia Yang5th Annual MLOps World and Generative AI World Conference 2024speakerBuild with Mistral—
Eléonore ArcelinBig Data & AI Paris 2024keynoteComment intégrer l'IA au service de votre entreprise ?—
Sophia YangPyData Paris 2024keynoteKeynote: Building with Mistral—
Devendra ChaplotAI Engineer World's Fair 2024speakerDecoding Mistral AI's Large Language ModelsVideo