fresh
World Labs is a spatial intelligence company, building frontier models that can perceive, generate, and interact with the 3D world. observed
No person- or entity-level identity check is on record for this company. A name match is not one.
The inclusion bar: two or more independent sourced evidence families. This profile is published and listed. It is a statement about how much evidence we hold, and about nothing else.
We have not established fit. That is not a soft no and not a soft yes — it is unknown, and it is never counted as a qualified prospect.
UNKNOWN (not a soft no, never counted as qualified). Blocker: The projection resolved no single latest-round stage; held stage labels are {seed}.
What would overturn this:
Assessed 2026-10-24 for seed/Series-A sourcing.
Five evidence lanes (activity, capital, infra, hiring, ecosystem) as within-cohort percentiles, combined with evidence-breadth weights over the 60-company baseline cohort. The ± band widens with missing lanes — it measures what the score stands on. 10 signals in the last 60 days back this number.
Counted from the company's own job board — each point a dated observation.
Subdomains appearing in public certificate-transparency logs — infrastructure standing up, dated at detection. Intent labels are deterministic (token map), not guessed.
↗ Strongest signal: funding_magnitude (16% of the score).
↓ Scored on 2 of 4 components — adoption, developer had no computable metric.
No single number decides. Layers can disagree — that's the point. New to this? →
The platform's own early signals for this company — hard-to-fake, and where one preceded a real raise, the measured lead.
Like you've got Fei-Fei Li. You know, I could write that press release. Originator of the whole AI, I think it's a little like, you know, the quality folks at OpenAI on the Tropic. I think the other part of this is, and in Leo Labs, making sure you have the pristine tech asset versus the gritty team. A lot of stuff I do in the apps level, I love my gritty teams. I think for something like, you know, building a world model, you need to have proven technical success because that's both what it nee
we are definitely starting to see data points like World Labs and many others where like there is real interest.
And I think it's the first of a few.
But whatever it is for 8% of that market, 8%, yeah, getting a world-class team to make sure that 279% run continues, like it's cheap if it's the right team, right?
it would be pretty criminal if we had the biggest boom in AI history and Fei-Fei Lee didn't get a big ass check. So I think comic justice has been restored
That first big Neolab exit, two and a half years into the company's journey.
AMD buys Fei-Fei Lee's World Labs for 8.2 billion in stock.
Fei-Fei Li's World Lab sells to AMD for $8.2 billion in stock.
there are people who you know are big pharmaceutical companies etc or or universities that would love to have this data on mass... just get to like a thousand or 10,000 people with this, which maybe there's some study that would just underwrite that uh a aka pay you as a startup
the more we can measure by having these sensors on body um the higher fidelity of data and the richer the data set's going to get.
I'm confident we'll have something for the men and for everybody
when we initially started this, we were thinking anti-aging and so we wanted to make a design that women would really like.
we are selling them for $299 currently.
we're also so excited to have Dr. Richard Weller, who is our chief medical officer, uh, on board. So, if you haven't heard of Dr. Weller, um, look up his work online. He is really incredible.
we're in the process now of building out our partnership ecosystem and being able to make that data available. We've received inbound inquiries, um, from some of these, uh, companies or and research organizations.
And at number two, I would have world labs because they're building spatial intelligence. So if agents are eventually going to work through cameras, glasses, robotics, they need to understand the physical world as well.
VentureSignalScore 37.6/100 for world-labs, composed from 2 of 4 components (emerging formula), discounted ×0.85 for 50% signal coverage
| Component | Weight | Normalized | Contribution |
|---|---|---|---|
| funding_recency | 0.2 | 0.3193 | |
| funding_magnitude | 0.3 | 0.5252 |
funding.round.announced_on 2026-10-01 https funding.round.amount_usd 2026-10-01 artifact ↗ An evidence gap, not proof of falsity: Form D is not always required (foreign offerings, certain exemptions) or may not be filed yet.
A first sale, a filing, an amendment and a public announcement are not the same event, and one date may not stand in for another. Where the latest financing date cannot be established from what we hold, this says unknown rather than substituting a date we do have.
A reported round dated 2026-02-18 by its own source.
Gray-market attention, not quality. 49+ HN mentions (peak 487 points). Claim-shaped headlines are rumors until corroborated — a Tier-3 factual claim carries no evidentiary weight on its own. Risk drivers: 16 recent unverified rumors circulating · heavy gray-market attention · no primary-source corroboration. ▲ 487 World Labs: Generate 3D worlds from a single image 2024-12-02 ↗
| Attribute | Value | Kind | Source | Observed | State | Conf. |
|---|---|---|---|---|---|---|
buyer_fit.assessment | {"buyer": "seed/Series-A sourcing", "method": "Backlog pass 2026-10-24: applied the record_buyer_fit.ts fit rule to this company's held primary-source financing evidence (funding.round.* / sec.form_d. | observed | assessment | 2026-10-24 | normalized | 0.90 |
buyer_fit.status | unknown | observed | assessment | 2026-10-24 | normalized | 0.90 |
common_name | World Labs | observed | artifact ↗ | 2026-10-01 | superseded | 0.60 |
common_name | World Labs | observed | artifact ↗ | 2026-10-01 | normalized | 0.60 |
common_name | World Labs | observed | artifact ↗ | 2026-09-13 | superseded | 0.60 |
common_name | World Labs | observed | artifact ↗ | 2026-09-13 | normalized | 0.60 |
community.hn.max_points | 487 | observed | artifact ↗ | 2026-10-01 | normalized | 0.20 |
community.hn.mentions | 50 | observed | artifact ↗ | 2026-10-01 | superseded | 0.20 |
community.hn.mentions | 49 | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=47063451", "title": "Fei-Fei Li's World Labs raised $1B from A16Z, Nvidia to advance its world models", "points": 64, "created_at": "2026-02-18", "eviden | observed | artifact ↗ | 2026-09-29 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=47063451", "title": "Fei-Fei Li's World Labs raised $1B from A16Z, Nvidia to advance its world models", "points": 64, "created_at": "2026-02-18", "eviden | observed | artifact ↗ | 2026-09-29 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=47063451", "title": "Fei-Fei Li's World Labs raised $1B from A16Z, Nvidia to advance its world models", "points": 64, "created_at": "2026-02-18", "eviden | observed | artifact ↗ | 2026-09-29 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=47063451", "title": "Fei-Fei Li's World Labs raised $1B from A16Z, Nvidia to advance its world models", "points": 64, "created_at": "2026-02-18", "eviden | observed | artifact ↗ | 2026-09-29 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=47063451", "title": "Fei-Fei Li's World Labs raised $1B from A16Z, Nvidia to advance its world models", "points": 64, "created_at": "2026-02-18", "eviden | observed | artifact ↗ | 2026-09-29 | normalized | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=42297644", "title": "World Labs: Generate 3D worlds from a single image", "points": 487, "created_at": "2024-12-02"} | observed | artifact ↗ | 2024-12-02 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=42297644", "title": "World Labs: Generate 3D worlds from a single image", "points": 487, "created_at": "2024-12-02"} | observed | artifact ↗ | 2024-12-02 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=42297644", "title": "World Labs: Generate 3D worlds from a single image", "points": 487, "created_at": "2024-12-02"} | observed | artifact ↗ | 2024-12-02 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=42297644", "title": "World Labs: Generate 3D worlds from a single image", "points": 487, "created_at": "2024-12-02"} | observed | artifact ↗ | 2024-12-02 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=42297644", "title": "World Labs: Generate 3D worlds from a single image", "points": 487, "created_at": "2024-12-02"} | observed | artifact ↗ | 2024-12-02 | normalized | 0.20 |
description | World Labs is a startup that builds spatial intelligence products and announced Atlas, a multimodal world model. | observed | artifact ↗ | 2026-10-01 | superseded | 0.60 |
description | World Labs is a spatial intelligence company, building frontier models that can perceive, generate, and interact with the 3D world. | observed | artifact ↗ | 2026-10-01 | normalized | 0.70 |
description | World Labs is a startup that builds spatial intelligence products and announced Atlas, a multimodal world model. | observed | artifact ↗ | 2026-09-13 | superseded | 0.60 |
description | World Labs is a startup that builds spatial intelligence products and announced Atlas, a multimodal world model. | observed | artifact ↗ | 2026-09-13 | normalized | 0.60 |
domain | www.worldlabs.ai | observed | artifact ↗ | 2026-10-01 | normalized | 0.95 |
funding.round.amount_usd | 65000000 | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
funding.round.amount_usd | 65000000 | observed | artifact ↗ | 2026-10-01 | superseded | 0.50 |
funding.round.amount_usd | 65000000 | observed | artifact ↗ | 2026-10-01 | normalized | 0.50 |
funding.round.announced_on | 2026-02-18 | observed | https | 2026-10-01 | normalized | 0.80 |
funding.round.source_url | https://www.reuters.com/business/ai-pioneer-fei-fei-lis-world-labs-raises-1-billion-funding-2026-02-18/ | observed | https | 2026-10-01 | normalized | 0.80 |
funding.round.stage | seed | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
funding.round.stage | seed | observed | artifact ↗ | 2026-10-01 | superseded | 0.50 |
funding.round.stage | seed | observed | artifact ↗ | 2026-10-01 | normalized | 0.50 |
jobs.board_url | https://jobs.ashbyhq.com/worldlabs | observed | artifact ↗ | 2026-10-09 | normalized | 0.85 |
jobs.postings.engineering | 9 | observed | artifact ↗ | 2026-10-09 | superseded | 0.85 |
jobs.postings.engineering | 7 | observed | artifact ↗ | 2026-10-23 | normalized | 0.85 |
jobs.postings.total | 11 | observed | artifact ↗ | 2026-10-09 | superseded | 0.85 |
jobs.postings.total | 8 | observed | artifact ↗ | 2026-10-23 | normalized | 0.85 |
metric.venture.funding_amount_usd | 65000000 | derived | calc | 2026-10-08 | derived | 0.50 |
metric.venture.funding_recency_days | 225.287 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 225.2938 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 225.37 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 225.3827 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 225.4883 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 225.4894 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 225.5061 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 225.5128 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 225.5205 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 225.6589 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 225.748 | derived | calc | 2026-10-01 | superseded | 0.80 |
metric.venture.funding_recency_days | 232.8891 | derived | calc | 2026-10-08 | superseded | 0.80 |
metric.venture.funding_recency_days | 233.2073 | derived | calc | 2026-10-09 | superseded | 0.80 |
metric.venture.funding_recency_days | 233.2603 | derived | calc | 2026-10-09 | superseded | 0.80 |
metric.venture.funding_recency_days | 233.2641 | derived | calc | 2026-10-09 | superseded | 0.80 |
metric.venture.funding_recency_days | 233.3029 | derived | calc | 2026-10-09 | superseded | 0.80 |
metric.venture.funding_recency_days | 233.3166 | derived | calc | 2026-10-09 | superseded | 0.80 |
metric.venture.funding_recency_days | 233.4068 | derived | calc | 2026-10-09 | superseded | 0.80 |
metric.venture.funding_recency_days | 233.7235 | derived | calc | 2026-10-09 | superseded | 0.80 |
metric.venture.funding_recency_days | 233.8809 | derived | calc | 2026-10-09 | superseded | 0.80 |
metric.venture.funding_recency_days | 233.9677 | derived | calc | 2026-10-09 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.0545 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.1426 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.2298 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.328 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.4349 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.5324 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.6198 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.7072 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.796 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.8502 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 234.9381 | derived | calc | 2026-10-10 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.0374 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.1081 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.1086 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.1562 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.4349 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.5249 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.6142 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.7035 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.7935 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.8853 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 235.9748 | derived | calc | 2026-10-11 | superseded | 0.80 |
metric.venture.funding_recency_days | 236.0402 | derived | calc | 2026-10-12 | superseded | 0.80 |
metric.venture.funding_recency_days | 236.1525 | derived | calc | 2026-10-12 | superseded | 0.80 |
metric.venture.funding_recency_days | 237.0571 | derived | calc | 2026-10-13 | superseded | 0.80 |
metric.venture.funding_recency_days | 237.1105 | derived | calc | 2026-10-13 | superseded | 0.80 |
metric.venture.funding_recency_days | 237.2005 | derived | calc | 2026-10-13 | superseded | 0.80 |
metric.venture.funding_recency_days | 237.2905 | derived | calc | 2026-10-13 | superseded | 0.80 |
metric.venture.funding_recency_days | 238.3039 | derived | calc | 2026-10-14 | superseded | 0.80 |
metric.venture.funding_recency_days | 238.3942 | derived | calc | 2026-10-14 | superseded | 0.80 |
metric.venture.funding_recency_days | 238.4868 | derived | calc | 2026-10-14 | superseded | 0.80 |
metric.venture.funding_recency_days | 238.5963 | derived | calc | 2026-10-14 | superseded | 0.80 |
metric.venture.funding_recency_days | 238.6914 | derived | calc | 2026-10-14 | superseded | 0.80 |
metric.venture.funding_recency_days | 238.7885 | derived | calc | 2026-10-14 | superseded | 0.80 |
metric.venture.funding_recency_days | 238.8837 | derived | calc | 2026-10-14 | superseded | 0.80 |
metric.venture.funding_recency_days | 238.9789 | derived | calc | 2026-10-14 | superseded | 0.80 |
metric.venture.funding_recency_days | 239.0761 | derived | calc | 2026-10-15 | superseded | 0.80 |
metric.venture.funding_recency_days | 239.1715 | derived | calc | 2026-10-15 | superseded | 0.80 |
metric.venture.funding_recency_days | 239.3278 | derived | calc | 2026-10-15 | superseded | 0.80 |
metric.venture.funding_recency_days | 239.4231 | derived | calc | 2026-10-15 | superseded | 0.80 |
metric.venture.funding_recency_days | 239.5358 | derived | calc | 2026-10-15 | superseded | 0.80 |
metric.venture.funding_recency_days | 239.6313 | derived | calc | 2026-10-15 | superseded | 0.80 |
metric.venture.funding_recency_days | 239.727 | derived | calc | 2026-10-15 | superseded | 0.80 |
metric.venture.funding_recency_days | 239.8255 | derived | calc | 2026-10-15 | superseded | 0.80 |
metric.venture.funding_recency_days | 239.9215 | derived | calc | 2026-10-15 | superseded | 0.80 |
metric.venture.funding_recency_days | 240.0197 | derived | calc | 2026-10-16 | superseded | 0.80 |
metric.venture.funding_recency_days | 240.1159 | derived | calc | 2026-10-16 | superseded | 0.80 |
metric.venture.funding_recency_days | 240.2123 | derived | calc | 2026-10-16 | superseded | 0.80 |
metric.venture.funding_recency_days | 240.3111 | derived | calc | 2026-10-16 | superseded | 0.80 |
metric.venture.funding_recency_days | 240.3576 | derived | calc | 2026-10-16 | superseded | 0.80 |
metric.venture.funding_recency_days | 240.4083 | derived | calc | 2026-10-16 | superseded | 0.80 |
metric.venture.funding_recency_days | 240.5056 | derived | calc | 2026-10-16 | superseded | 0.80 |
metric.venture.funding_recency_days | 240.6039 | derived | calc | 2026-10-16 | superseded | 0.80 |
metric.venture.funding_recency_days | 242.5284 | derived | calc | 2026-10-18 | superseded | 0.80 |
metric.venture.funding_recency_days | 242.6258 | derived | calc | 2026-10-18 | superseded | 0.80 |
metric.venture.funding_recency_days | 242.7229 | derived | calc | 2026-10-18 | superseded | 0.80 |
metric.venture.funding_recency_days | 243.1126 | derived | calc | 2026-10-19 | superseded | 0.80 |
metric.venture.funding_recency_days | 243.2093 | derived | calc | 2026-10-19 | superseded | 0.80 |
metric.venture.funding_recency_days | 243.3173 | derived | calc | 2026-10-19 | superseded | 0.80 |
metric.venture.funding_recency_days | 243.4141 | derived | calc | 2026-10-19 | superseded | 0.80 |
metric.venture.funding_recency_days | 243.5255 | derived | calc | 2026-10-19 | superseded | 0.80 |
metric.venture.funding_recency_days | 243.6264 | derived | calc | 2026-10-19 | superseded | 0.80 |
metric.venture.funding_recency_days | 243.7234 | derived | calc | 2026-10-19 | superseded | 0.80 |
metric.venture.funding_recency_days | 243.8205 | derived | calc | 2026-10-19 | superseded | 0.80 |
metric.venture.funding_recency_days | 243.9176 | derived | calc | 2026-10-19 | superseded | 0.80 |
metric.venture.funding_recency_days | 244.0163 | derived | calc | 2026-10-20 | superseded | 0.80 |
metric.venture.funding_recency_days | 244.1463 | derived | calc | 2026-10-20 | superseded | 0.80 |
metric.venture.funding_recency_days | 244.2462 | derived | calc | 2026-10-20 | superseded | 0.80 |
metric.venture.funding_recency_days | 244.3463 | derived | calc | 2026-10-20 | superseded | 0.80 |
metric.venture.funding_recency_days | 244.4476 | derived | calc | 2026-10-20 | superseded | 0.80 |
metric.venture.funding_recency_days | 244.5631 | derived | calc | 2026-10-20 | superseded | 0.80 |
metric.venture.funding_recency_days | 245.0163 | derived | calc | 2026-10-21 | superseded | 0.80 |
metric.venture.funding_recency_days | 245.0807 | derived | calc | 2026-10-21 | superseded | 0.80 |
metric.venture.funding_recency_days | 245.1784 | derived | calc | 2026-10-21 | superseded | 0.80 |
metric.venture.funding_recency_days | 245.2734 | derived | calc | 2026-10-21 | superseded | 0.80 |
metric.venture.funding_recency_days | 245.4462 | derived | calc | 2026-10-21 | superseded | 0.80 |
metric.venture.funding_recency_days | 245.551 | derived | calc | 2026-10-21 | superseded | 0.80 |
metric.venture.funding_recency_days | 245.6497 | derived | calc | 2026-10-21 | superseded | 0.80 |
metric.venture.funding_recency_days | 245.7492 | derived | calc | 2026-10-21 | superseded | 0.80 |
metric.venture.funding_recency_days | 245.8481 | derived | calc | 2026-10-21 | superseded | 0.80 |
metric.venture.funding_recency_days | 245.947 | derived | calc | 2026-10-21 | superseded | 0.80 |
metric.venture.funding_recency_days | 246.0541 | derived | calc | 2026-10-22 | superseded | 0.80 |
metric.venture.funding_recency_days | 246.1532 | derived | calc | 2026-10-22 | superseded | 0.80 |
metric.venture.funding_recency_days | 246.2525 | derived | calc | 2026-10-22 | superseded | 0.80 |
metric.venture.funding_recency_days | 246.3539 | derived | calc | 2026-10-22 | superseded | 0.80 |
metric.venture.funding_recency_days | 246.4532 | derived | calc | 2026-10-22 | superseded | 0.80 |
metric.venture.funding_recency_days | 246.5699 | derived | calc | 2026-10-22 | superseded | 0.80 |
metric.venture.funding_recency_days | 246.6694 | derived | calc | 2026-10-22 | superseded | 0.80 |
metric.venture.funding_recency_days | 246.7728 | derived | calc | 2026-10-22 | superseded | 0.80 |
metric.venture.funding_recency_days | 246.8725 | derived | calc | 2026-10-22 | superseded | 0.80 |
metric.venture.funding_recency_days | 246.9722 | derived | calc | 2026-10-22 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.072 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.1719 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.2721 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.358 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.3914 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.4926 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.5226 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.598 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.6983 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.8324 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.8987 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 247.9992 | derived | calc | 2026-10-23 | superseded | 0.80 |
metric.venture.funding_recency_days | 248.0891 | derived | calc | 2026-10-24 | superseded | 0.80 |
metric.venture.funding_recency_days | 248.1282 | derived | calc | 2026-10-24 | superseded | 0.80 |
metric.venture.funding_recency_days | 248.1899 | derived | calc | 2026-10-24 | superseded | 0.80 |
metric.venture.funding_recency_days | 248.2841 | derived | calc | 2026-10-24 | superseded | 0.80 |
metric.venture.funding_recency_days | 248.4682 | derived | calc | 2026-10-24 | superseded | 0.80 |
metric.venture.funding_recency_days | 248.5797 | derived | calc | 2026-10-24 | superseded | 0.80 |
metric.venture.funding_recency_days | 248.6807 | derived | calc | 2026-10-24 | derived | 0.80 |
score.venture_signal | 29.1 | derived | calc | 2026-10-01 | superseded | 0.34 |
score.venture_signal | 29 | derived | calc | 2026-10-01 | superseded | 0.34 |
score.venture_signal | 39.1 | derived | calc | 2026-10-08 | superseded | 0.34 |
score.venture_signal | 39 | derived | calc | 2026-10-09 | superseded | 0.34 |
score.venture_signal | 38.9 | derived | calc | 2026-10-10 | superseded | 0.34 |
score.venture_signal | 38.8 | derived | calc | 2026-10-11 | superseded | 0.34 |
score.venture_signal | 38.7 | derived | calc | 2026-10-13 | superseded | 0.34 |
score.venture_signal | 38.6 | derived | calc | 2026-10-14 | superseded | 0.34 |
score.venture_signal | 38.5 | derived | calc | 2026-10-14 | superseded | 0.34 |
score.venture_signal | 38.4 | derived | calc | 2026-10-15 | superseded | 0.34 |
score.venture_signal | 38.2 | derived | calc | 2026-10-18 | superseded | 0.34 |
score.venture_signal | 38.1 | derived | calc | 2026-10-19 | superseded | 0.34 |
score.venture_signal | 38 | derived | calc | 2026-10-20 | superseded | 0.34 |
score.venture_signal | 37.9 | derived | calc | 2026-10-21 | superseded | 0.34 |
score.venture_signal | 37.8 | derived | calc | 2026-10-22 | superseded | 0.34 |
score.venture_signal | 37.7 | derived | calc | 2026-10-23 | superseded | 0.34 |
score.venture_signal | 37.6 | derived | calc | 2026-10-24 | derived | 0.34 |
sector | emerging | derived | calc | 2026-10-01 | normalized | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EKQC41S9M3JB0CFQ0EDNCH", "signals": [{"quote": "And at number two, I would have world labs because they're building spatial intelligence. So if agents are eventually | observed | artifact ↗ | 2026-09-28 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EKQC41S9M3JB0CFQ0EDNCH", "signals": [{"quote": "we're in the process now of building out our partnership ecosystem and being able to make that data available. We've r | observed | artifact ↗ | 2026-09-28 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EKQC41S9M3JB0CFQ0EDNCH", "signals": [{"quote": "we're also so excited to have Dr. Richard Weller, who is our chief medical officer, uh, on board. So, if you haven't h | observed | artifact ↗ | 2026-09-28 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EKQC41S9M3JB0CFQ0EDNCH", "signals": [{"quote": "we are selling them for $299 currently.", "stance": "neutral", "confidence": 1, "signal_class": "fact_claim", "speaker | observed | artifact ↗ | 2026-09-28 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EKQC41S9M3JB0CFQ0EDNCH", "signals": [{"quote": "when we initially started this, we were thinking anti-aging and so we wanted to make a design that women would really | observed | artifact ↗ | 2026-09-28 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EKQC41S9M3JB0CFQ0EDNCH", "signals": [{"quote": "I'm confident we'll have something for the men and for everybody", "stance": "bullish", "confidence": 0.6, "signal_cla | observed | artifact ↗ | 2026-09-28 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EKQC41S9M3JB0CFQ0EDNCH", "signals": [{"quote": "the more we can measure by having these sensors on body um the higher fidelity of data and the richer the data set's g | observed | artifact ↗ | 2026-09-28 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EKQC41S9M3JB0CFQ0EDNCH", "signals": [{"quote": "there are people who you know are big pharmaceutical companies etc or or universities that would love to have this dat | observed | artifact ↗ | 2026-09-28 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "Fei-Fei Li's World Lab sells to AMD for $8.2 billion in stock.", "stance": "neutral", "confidence": 1, "signal_class": | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "AMD buys Fei-Fei Lee's World Labs for 8.2 billion in stock.", "stance": "neutral", "confidence": 1, "signal_class": "f | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "That first big Neolab exit, two and a half years into the company's journey.", "stance": "neutral", "confidence": 1, " | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "it would be pretty criminal if we had the biggest boom in AI history and Fei-Fei Lee didn't get a big ass check. So I | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "But whatever it is for 8% of that market, 8%, yeah, getting a world-class team to make sure that 279% run continues, l | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "And I think it's the first of a few.", "stance": "neutral", "confidence": 1, "signal_class": "prediction", "speaker_na | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "we are definitely starting to see data points like World Labs and many others where like there is real interest.", "st | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "Like you've got Fei-Fei Li. You know, I could write that press release. Originator of the whole AI, I think it's a lit | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "Fei-Fei Li's World Lab sells to AMD for $8.2 billion in stock.", "stance": "neutral", "confidence": 1, "signal_class": | observed | artifact ↗ | 2026-10-01 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "AMD buys Fei-Fei Lee's World Labs for 8.2 billion in stock.", "stance": "neutral", "confidence": 1, "signal_class": "f | observed | artifact ↗ | 2026-10-01 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "That first big Neolab exit, two and a half years into the company's journey.", "stance": "neutral", "confidence": 1, " | observed | artifact ↗ | 2026-10-01 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "it would be pretty criminal if we had the biggest boom in AI history and Fei-Fei Lee didn't get a big ass check. So I | observed | artifact ↗ | 2026-10-01 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "But whatever it is for 8% of that market, 8%, yeah, getting a world-class team to make sure that 279% run continues, l | observed | artifact ↗ | 2026-10-01 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "And I think it's the first of a few.", "stance": "neutral", "confidence": 1, "signal_class": "prediction", "speaker_na | observed | artifact ↗ | 2026-10-01 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "we are definitely starting to see data points like World Labs and many others where like there is real interest.", "st | observed | artifact ↗ | 2026-10-01 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "Like you've got Fei-Fei Li. You know, I could write that press release. Originator of the whole AI, I think it's a lit | observed | artifact ↗ | 2026-10-01 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "Fei-Fei Li's World Lab sells to AMD for $8.2 billion in stock.", "stance": "neutral", "confidence": 1, "signal_class": | observed | artifact ↗ | 2026-10-01 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "AMD buys Fei-Fei Lee's World Labs for 8.2 billion in stock.", "stance": "neutral", "confidence": 1, "signal_class": "f | observed | artifact ↗ | 2026-10-01 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "That first big Neolab exit, two and a half years into the company's journey.", "stance": "neutral", "confidence": 1, " | observed | artifact ↗ | 2026-10-01 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "it would be pretty criminal if we had the biggest boom in AI history and Fei-Fei Lee didn't get a big ass check. So I | observed | artifact ↗ | 2026-10-01 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "But whatever it is for 8% of that market, 8%, yeah, getting a world-class team to make sure that 279% run continues, l | observed | artifact ↗ | 2026-10-01 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "And I think it's the first of a few.", "stance": "neutral", "confidence": 1, "signal_class": "prediction", "speaker_na | observed | artifact ↗ | 2026-10-01 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "we are definitely starting to see data points like World Labs and many others where like there is real interest.", "st | observed | artifact ↗ | 2026-10-01 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMFW0PB4FJNQZKMETRMR85", "signals": [{"quote": "Like you've got Fei-Fei Li. You know, I could write that press release. Originator of the whole AI, I think it's a lit | observed | artifact ↗ | 2026-10-01 | promoted | 0.50 |
source.document.reference | {"kind": "video", "title": "www.youtube.com/watch — world-labs", "source_id": "01M3VNBZMEP9359Q7JTM817AK3-m-a258997168391f72", "extract_ref": "artifact:sha256:79313389207a4ff8c176a57fe7f4273fb21b81fa3 | observed | artifact ↗ | 2026-10-01 | normalized | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/The_Trio_EP.76.mp3 — world-labs", "source_id": "01M3VNN31NM2V05X8014E1BCKB-m-a258997168391f72", "extract_ref": "artifact:sha25 | observed | artifact ↗ | 2026-10-01 | normalized | 0.95 |
source.document.reference | {"kind": "podcast", "title": "#422 Joseph Pulitzer — world-labs", "source_id": "01M4FQNH7GTD1V3HHBZS40TMSA-m-a258997168391f72", "extract_ref": "artifact:sha256:820f3fedc6dfe501c8605cf53bbebea932d2d2c1 | observed | artifact ↗ | 2026-10-09 | superseded | 0.95 |
source.document.reference | {"kind": "podcast", "title": "#422 Joseph Pulitzer — world-labs", "source_id": "01M4FQNH7GTD1V3HHBZS40TMSA-m-a258997168391f72", "extract_ref": "artifact:sha256:820f3fedc6dfe501c8605cf53bbebea932d2d2c1 | observed | artifact ↗ | 2026-06-20 | normalized | 0.95 |
website_url | https://www.worldlabs.ai | observed | enrichment | 2026-10-01 | normalized | 0.85 |
website_url | https://www.worldlabs.ai | observed | artifact ↗ | 2026-10-01 | normalized | 0.95 |
website.homepage.has_pricing_link | false | observed | artifact ↗ | 2026-10-01 | normalized | 0.80 |