BeanOS vs Google DeepMind
BeanOS vs Google DeepMind, compared side by side on 17 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: BeanOS is on 37/100 and Google DeepMind on 83/100.
Where each one leads
BeanOS
Leads on none of the measures we hold for both companies.
Google DeepMind
- our overall score: 83/100 against 37/100
- headcount: 8,831 against 10
- funding raised: $677M against $1.5M
At a glance
| Measure | BeanOS | Google DeepMind |
|---|---|---|
| What it is | An AI-native operating system for running companies with AI as the core infrastructure. | Pioneering AI research and development to solve intelligence and advance science for humanity. |
| Category | AI Infrastructure, Foundation Model, Agentic AI, Enterprise Software | Frontier AI Lab, AGI Research, Foundation Model, Generative AI |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Platform |
| Founded | 2023 | 2010 |
| Headquarters | Tel Aviv, Israel | London, United Kingdom |
| Status | Active | Active |
Size, funding and growth
| Measure | BeanOS | Google DeepMind |
|---|---|---|
| Employees | 10 | 8,831 |
| Headcount growthLast 12 months | Not published | +37.1% |
| Total funding | $1.5M | $677M |
| Latest round | Seed | Acquisition |
| LinkedIn followers | Not published | 1,587,690 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | BeanOS | Google DeepMind |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 37/100 | 83/100 |
| Traction | 41/100 | 60/100 |
| Team | Not published | 70/100 |
| Community | Not published | 33/100 |
| Search visibility | 8/100 | 71/100 |
| Quality | 48/100 | 97/100 |
| Agent readinessHow well an AI agent can read and act on the site | F (36/100) | F (34/100) |
| Domain ratingLink authority, 0-100 | Not published | 89/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | BeanOS | Google DeepMind |
|---|---|---|
| Hosting | Not detected | Google Cloud |
| Analytics | Google Analytics 4 | Google Tag Manager |
| Open source | Yes | Yes |
What users say
| Measure | BeanOS | Google DeepMind |
|---|---|---|
| Community ratingVisitor votes on StartupHub | Not published | 5.0/5 from 1 vote |
| Reddit sentimentThreads we track | Not published | 5 positive, 0 negative across 6 threads |
“Google Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2.”r/
BeanOS vs Google DeepMind: common questions
Which is better, BeanOS or Google DeepMind?
On our 0-100 score Google DeepMind rates higher (83/100 against 37/100). 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 17 data points above: read the rows that match what you are buying for.
How do BeanOS and Google DeepMind compare on the numbers?
Google DeepMind leads on our overall score (83/100 against 37/100), headcount (8,831 against 10), funding raised ($677M against $1.5M).
What do real users say about BeanOS and Google DeepMind?
Google DeepMind: 5 positive and 0 negative mentions across 6 Reddit threads we track.
Read the full BeanOS review and pricing or the Google DeepMind review and pricing. You can also browse other BeanOS alternatives we track.