WaveAccess
Circuit mix
Where WaveAccess shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- AI engineering & MLOps100%3 events
The year around now
Conferences where WaveAccess 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.
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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| MLCon (ML Conference) |
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.
Where they've grown or pulled back
WaveAccess has never sponsored a tracked conference, so this follows where its speakers appear instead.
FlatHad speakers at 1 conference in 2026, flat from 1 in 2019.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.
Too little history to tell a direction yet.
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 0 this company sponsored).
No co-sponsors: this company has no recorded sponsorships, or sponsored alone.
Sponsorships 0
No sponsorships recorded for WaveAccess.
Speakers 5
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Alexander Isaenco | MLcon Munich 2026 | speaker | From Confidence to Constraints: How Reality Shaped Our Product | — |
| Aleksandr Mester | ML Conference 2019 Berlin | speaker | Essential Workshop to Exploratory Data Analysis and Feature Engineering [SOLD OUT] | — |
| Vladimir Rybakov | ML Conference 2019 Berlin | speaker | Essential Workshop to Exploratory Data Analysis and Feature Engineering [SOLD OUT] | — |
| Vladimir Rybakov | ML Conference 2019 Berlin | speaker | Case Study: Making the Most out of a Doomed Project | — |
| Vladimir Rybakov | ML Conference 2019 Munich (Spring Edition) | speaker | Does Deep Learning make Feature Engineering obsolete? | — |