Google DeepMind vs Causal Labs

Google DeepMind vs Causal Labs, compared side by side on 22 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Google DeepMind is on 83/100 and Causal Labs on 55/100.

Google DeepMind logo
Google DeepMindPioneering AI research and development to solve intelligence and advance science for humanity.
Try Google DeepMind
Causal Labs logo
Causal LabsBuilding safe, steerable physics foundation models for weather understanding, prediction, and shaping.
Try Causal Labs

Where each one leads

Google DeepMind

  • our overall score: 83/100 against 55/100
  • domain rating: 89/100 against 28/100
  • headcount: 8,831 against 14
  • funding raised: $677M against $6.0M
  • LinkedIn following: 1,587,690 against 1,858

Causal Labs

  • agent readiness: 42/100 against 34/100
  • headcount growth: +63.5% against +37.1%

At a glance

MeasureGoogle DeepMindCausal Labs
What it isPioneering AI research and development to solve intelligence and advance science for humanity.Building safe, steerable physics foundation models for weather understanding, prediction, and shaping.
CategoryFrontier AI Lab, AGI Research, Foundation Model, Generative AIFoundation Model, Physics AI, Weather Prediction, Climate Tech
Sells toBusiness modelB2BB2B
OfferingPlatformPlatform
Founded20102023
HeadquartersLondon, United KingdomSan Francisco, United States
StatusActiveActive

Size, funding and growth

MeasureGoogle DeepMindCausal Labs
Employees8,83114
Headcount growthLast 12 months+37.1%+63.5%
Open rolesNot published20
Total funding$677M$6.0M
Latest roundAcquisitionSeed
LinkedIn followers1,587,6901,858

StartupHub scores

Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.

MeasureGoogle DeepMindCausal Labs
StartupHub scoreOur 0-100 rating83/10055/100
Traction60/10046/100
Team70/10070/100
Community33/10013/100
Search visibility71/10035/100
Quality97/10058/100
Agent readinessHow well an AI agent can read and act on the siteF (34/100)D (42/100)
Domain ratingLink authority, 0-10089/10028/100

Technology

Detected on each public site, so it reflects the marketing stack as well as the product.

MeasureGoogle DeepMindCausal Labs
HostingGoogle CloudNot detected
CDNNot detectedCloudflare
CMSNot detectedWebflow
AnalyticsGoogle Tag ManagerNot detected
Open sourceYesNo

What users say

MeasureGoogle DeepMindCausal Labs
Community ratingVisitor votes on StartupHub5.0/5 from 1 vote5.0/5 from 1 vote
Reddit sentimentThreads we track5 positive, 0 negative across 6 threadsNot published
Google DeepMind
Google Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2.
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Google DeepMind vs Causal Labs: common questions

Which is better, Google DeepMind or Causal Labs?

On our 0-100 score Google DeepMind rates higher (83/100 against 55/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 22 data points above: read the rows that match what you are buying for.

How do Google DeepMind and Causal Labs compare on the numbers?

Google DeepMind leads on our overall score (83/100 against 55/100), domain rating (89/100 against 28/100), headcount (8,831 against 14), funding raised ($677M against $6.0M), LinkedIn following (1,587,690 against 1,858). Causal Labs leads on agent readiness (42/100 against 34/100), headcount growth (+63.5% against +37.1%).

What do real users say about Google DeepMind and Causal Labs?

Google DeepMind: 5 positive and 0 negative mentions across 6 Reddit threads we track.

Read the full Google DeepMind review and pricing or the Causal Labs review and pricing. You can also browse other Google DeepMind alternatives we track.