MLCommons
Buying intent
35 tracked signals | Top 15 topics are below | Engineering and Product are carrying most of it.
Attention by team
LinkedIn activity, by teamWhere MLCommons's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.
Topics being researched
30-day windowEvery tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who's active at MLCommons
verified title on fileTitles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.
Primary products / business lines
LinkedIn company profileMLCommons is an Artificial Intelligence engineering consortium, built on a philosophy of open collaboration to improve AI systems. Through our collective engineering efforts across industry and academia we continually measure and improve the accuracy, safety, speed and efficiency of AI technologies–helping organizations around the world build better AI systems that will benefit society.
Top accounts researching MLCommons
names withheld on the public pageThese are companies whose own people brought up MLCommons unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.
151,426 companies · 839,012 people are researching Artificial Intelligence
MLCommons's own team shows 10 signals on this topic. No one outside MLCommons has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.
- Digital Innovation1,748 cos · 5,275 people
- Executive Education11,167 cos · 45,778 people
Buyer profile
company size · seniorityCompany size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.
Buying committee functions
Employee job titles (LinkedIn)Leadership — 1 person; Product — 1 person
What's been said
public posts by MLCommons's teamNo public post naming MLCommons has surfaced in the past year, so this is what MLCommons's own team is posting about publicly — their topics, in their words.
We don't have good patterns for the #UX design of #AI systems that develop theories of mind of us, and of each other, and which directly and autonomously test hypotheses about the world by acting around us and on us. Devices like that are increasingly around us, and we're only going to see more of them. I wrote a blog post discussing this in more detail: https://lnkd.in/gw9St3cs The blog post contains my theory of how technology development swings from the cloud to the edge (with us in midswing from cloud to edge right now), which is something I observed in my work on #iot systems, and because I've always kept one toe in the hardware world. I also rant about terminology: specifically that when we use the term "embodied AI" to refer to connected edge devices that have semi-autonomous local AI capabilities, we imply that AI otherwise doesn't have a body. But it does: it has giant, sprawling bodies all over the place. We call them data centers, and by pretending they don't exist when we use "embodied AI", we make a serious categorization error.
May 2026I'm pulling together a small group of regulatory experts on AI in financial services/ life sciences (deliberately broad scope) to contribute to a project. If you have worked on this either in a senior risk, compliance, or model governance role inside a bank or pharmaceutical/biotech company or previously at US/EU/APAC regulator - DM me! (UNRELATED but also sharing relevant chart from Stanford HAI Index Report 2026 - link in comments)
May 2026Leadership changes
Web / pressAfter 8 years co-founding and leading the development of and MLCommons, the time has come for me to hand the reins of MLPerf to a new leader.; Announcement! Dave Graham is the Head of Marketing at MLCommons, a leading AI engineering consortium, built on the philosophy of open collaboration to improve AI systems. | Alastair Cameron
M&A / partnership appetite
Web / pressIf AI is going to transform healthcare, retail, and business, trust has to transform with it. That's the core idea behind PACT AI - and why MLCommons is joining as a founding … | MLCommons; Notice Pursuant to the National Cooperative Research and Production Act of 1993-MLCommons Association | 91 FR 58708
Regulatory exposure
Web / pressFederal Register :: Notice Pursuant to the National Cooperative Research and Production Act of 1993-MLCommons Association; Notice Pursuant to the National Cooperative Research and Production Act of 1993-MLCommons Association | 91 FR 46160