Sifted Names the Investors Climbing Hardest in This Year's AI 100

By Grace Kim

Sifted, the London outlet covering European technology, has published its latest Sifted AI 100 ranking, naming the investors posting the largest year-on-year jumps in standing within the 100-company cohort.

The piece isolates backers whose position in the AI 100 has risen furthest between editions — a measure the publisher says separates active, repeat-allocating capital from one-time check-writers. The distinction matters more now than it did three years ago, when AI capital was cheaper and far less selective.

What does the Sifted AI 100 actually measure?

The AI 100 is Sifted's annual ranking of 100 European AI companies, assembled from funding data, headcount, customer traction and technical differentiation. Companies submit financials and operational data; Sifted's editorial team verifies submissions against public filings and founder interviews.

The companion investor list tracks the institutional backers whose AI 100 portfolio weight has shifted most between editions. Methodology favors sustained activity over headline-making single deals.

The point isn't who's biggest. It's who decided to lean in.

Why ranking movement matters more than rank

Most investor league tables measure capital under management, dry powder available, or total deals done. A jump-focused metric measures something different: conviction. A backer climbing fast has chosen to concentrate capital on this cohort at this moment, when alternatives across European venture capital remain plentiful.

For limited partners and founders sizing up capital sources, momentum signals can outweigh logo size. A 20-place jump in a single cycle means the firm did something the rest of the table didn't — it leaned into the cohort when its peers didn't.

The climb tells you what the allocators actually believe.

What founders should read for

Operators weighing their next round will pull more signal from the jump list than from absolute rank. The climbers are, by definition, allocators who decided AI 100 companies were worth backing more aggressively than they were twelve months earlier.

That shift tells founders three concrete things. First, the backer has fresh conviction. Second, the firm likely has fresh capital allocated. Third, the backer is now tracking this cohort more closely than peer firms — which means inbound from them tends to be faster and better-informed.

The takeaway: momentum in the AI 100 is a better predictor of next-round behavior than fund size.

How Sifted builds the list

The publisher draws on company-reported metrics, founder surveys and direct editorial research. The investor-jump list runs a parallel methodology: starting from the AI 100 cohort and tracking how each institutional backer's exposure shifts between editions.

Sifted doesn't disclose its exact weighting formula, but prior AI 100 editions have leaned toward sustained activity and follow-on participation over headline-making first checks.

The bias is structural: Sifted is rewarding follow-ons, not photo-op rounds.

What it means going forward

The Sifted AI 100 has become a reference point for founders, LPs and operators across Europe. The investor-jump list, in particular, has grown more cited over the past two editions as allocators hunt for read-throughs on which backers are leaning in.

For founders building in continental AI right now, the takeaway is plain: the most useful question when sizing up a new backer isn't their AUM. It's whether they backed more of the AI 100 this year than they did last. Sifted's jump list answers that question, in public, every cycle.