Causal Labs
Causal Labs

Causal Labs

Building safe, steerable physics foundation models for weather understanding, prediction, and shaping.

2023Active14San Francisco, United States

About

Causal Labs is developing a Large Physics foundation Model (LPM) to learn causality through physics and weather. Their mission is to advance AI by understanding how actions influence the world, using the most well-observed and consequential physical system, aiming to solve unsolved problems. Teams look it up for Foundation Model, Physics AI, Weather Prediction.

Frequently asked

What does Causal Labs do?

Causal Labs is a Foundation Model company that offers Platform. Teams look it up for Physics AI, Weather Prediction, Climate Tech. It is based in San Francisco, United States and was founded in 2023. Public records show about 14 people and $6M raised. Compare it on funding, headcount, reviews and nearby alternatives rather than the marketing line alone.

How much funding has Causal Labs raised?

Causal Labs has raised a total of $6M in funding. The most recent round on record is Seed.

Where is Causal Labs headquartered?

Causal Labs is headquartered in San Francisco, United States.

When was Causal Labs founded?

Causal Labs was founded in 2023.

What industry does Causal Labs operate in?

Causal Labs operates in Foundation Model, Physics AI, Weather Prediction, Climate Tech, AI Safety.

How many employees does Causal Labs have?

Causal Labs has approximately 14 people on record.

Scores
Measured, not editorial
Ahrefs DR
28/100

Strength of the site’s backlink profile, on Ahrefs’ 0-100 Domain Rating scale. Licensed third-party data, not our opinion.

Agent Readiness
42/100

How well an AI agent can read and use this site: structured data, clean markup, and whether key facts are reachable without running JavaScript. We scan the live site.

Site Speed
92/100

Google PageSpeed mobile performance for the company’s own site. Measured by Google, not by us.

Star ratings come from visitors, one per person per profile, and are shown exactly as given: we do not weight, curate or filter them. Reviews are published in full alongside the rating that accompanied them.

Add first review