Google DeepMind vs Radical Numerics
Google DeepMind vs Radical Numerics, 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 Radical Numerics on 48/100.
Where each one leads
Google DeepMind
- our overall score: 83/100 against 48/100
- domain rating: 89/100 against 0/100
- funding raised: $677M against $50.0M
Radical Numerics
- agent readiness: 50/100 against 34/100
At a glance
| Measure | Google DeepMind | Radical Numerics |
|---|---|---|
| What it is | Pioneering AI research and development to solve intelligence and advance science for humanity. | Building General Biological Intelligence |
| Category | Frontier AI Lab, AGI Research, Foundation Model, Generative AI | Artificial Intelligence, Biotechnology, Life Sciences, Biotech |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Platform |
| Founded | 2010 | 2023 |
| Headquarters | London, United Kingdom | San Francisco, USA |
| Status | Active | Inactive |
Size, funding and growth
| Measure | Google DeepMind | Radical Numerics |
|---|---|---|
| Employees | 8,831 | Not published |
| Headcount growthLast 12 months | +37.1% | Not published |
| Total funding | $677M | $50.0M |
| Latest round | Acquisition | Seed |
| Valuation | Not published | $1.1B |
| 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 | Radical Numerics |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 83/100 | 48/100 |
| Traction | 60/100 | 38/100 |
| Team | 70/100 | Not published |
| Community | 33/100 | Not published |
| Search visibility | 71/100 | 15/100 |
| Quality | 97/100 | 68/100 |
| Agent readinessHow well an AI agent can read and act on the site | F (34/100) | D (50/100) |
| Domain ratingLink authority, 0-100 | 89/100 | 0/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Google DeepMind | Radical Numerics |
|---|---|---|
| Hosting | Google Cloud | Not detected |
| Analytics | Google Tag Manager | Not detected |
| Open source | Yes | No |
What users say
| Measure | Google DeepMind | Radical Numerics |
|---|---|---|
| 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 Radical Numerics: common questions
Which is better, Google DeepMind or Radical Numerics?
On our 0-100 score Google DeepMind rates higher (83/100 against 48/100). 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 Radical Numerics compare on the numbers?
Google DeepMind leads on our overall score (83/100 against 48/100), domain rating (89/100 against 0/100), funding raised ($677M against $50.0M). Radical Numerics leads on agent readiness (50/100 against 34/100).
What do real users say about Google DeepMind and Radical Numerics?
Google DeepMind: 5 positive and 0 negative mentions across 6 Reddit threads we track.
Read the full Google DeepMind review and pricing or the Radical Numerics review and pricing. You can also browse other Google DeepMind alternatives we track.