Google DeepMind vs Methodic
Google DeepMind vs Methodic, compared side by side on 16 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 Methodic on 34/100.
Where each one leads
Google DeepMind
- our overall score: 83/100 against 34/100
- headcount: 8,831 against 2
Methodic
Leads on none of the measures we hold for both companies.
At a glance
| Measure | Google DeepMind | Methodic |
|---|---|---|
| What it is | Pioneering AI research and development to solve intelligence and advance science for humanity. | Building a new interface for computing to enable AGI to automate mental effort. |
| Category | Frontier AI Lab, AGI Research, Foundation Model, Generative AI | Artificial General Intelligence, Artificial Intelligence, AGI Research, Frontier AI Lab |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Software |
| Founded | 2010 | 2023 |
| Headquarters | London, United Kingdom | San Francisco, United States |
| Status | Active | Inactive |
Size, funding and growth
| Measure | Google DeepMind | Methodic |
|---|---|---|
| Employees | 8,831 | 2 |
| Headcount growthLast 12 months | +37.1% | Not published |
| Total funding | $677M | Not published |
| Latest round | Acquisition | Not published |
| LinkedIn followers | 1,587,690 | Not published |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Google DeepMind | Methodic |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 83/100 | 34/100 |
| Traction | 60/100 | 5/100 |
| Team | 70/100 | 30/100 |
| Community | 33/100 | Not published |
| Search visibility | 71/100 | 13/100 |
| Quality | 97/100 | 48/100 |
| Agent readinessHow well an AI agent can read and act on the site | F (34/100) | F (34/100) |
| Domain ratingLink authority, 0-100 | 89/100 | Not published |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Google DeepMind | Methodic |
|---|---|---|
| Hosting | Google Cloud | Self Managed |
| Analytics | Google Tag Manager | Not detected |
| Open source | Yes | No |
What users say
| Measure | Google DeepMind | Methodic |
|---|---|---|
| Community ratingVisitor votes on StartupHub | 5.0/5 from 1 vote | Not published |
| Reddit sentimentThreads we track | 5 positive, 0 negative across 6 threads | Not published |
“Google Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2.”r/
Google DeepMind vs Methodic: common questions
Which is better, Google DeepMind or Methodic?
On our 0-100 score Google DeepMind rates higher (83/100 against 34/100). 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 16 data points above: read the rows that match what you are buying for.
How do Google DeepMind and Methodic compare on the numbers?
Google DeepMind leads on our overall score (83/100 against 34/100), headcount (8,831 against 2).
What do real users say about Google DeepMind and Methodic?
Google DeepMind: 5 positive and 0 negative mentions across 6 Reddit threads we track.
Read the full Google DeepMind review and pricing or the Methodic review and pricing. You can also browse other Google DeepMind alternatives we track.