Google DeepMind vs Iris.ai
Google DeepMind vs Iris.ai, compared side by side on 21 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 Iris.ai on 58/100.
Where each one leads
Google DeepMind
- our overall score: 83/100 against 58/100
- domain rating: 89/100 against 60/100
- headcount: 8,831 against 40
- headcount growth: +37.1% against -25.9%
- funding raised: $677M against $10.4M
- LinkedIn following: 1,587,690 against 10,536
Iris.ai
- agent readiness: 49/100 against 34/100
At a glance
| Measure | Google DeepMind | Iris.ai |
|---|---|---|
| What it is | Pioneering AI research and development to solve intelligence and advance science for humanity. | AI knowledge foundation for regulated enterprises, turning complex data into AI you can trust. |
| Category | Frontier AI Lab, AGI Research, Foundation Model, Generative AI | AI Foundation & Compute, Agentic AI, RAG, Foundation Model |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Software | platform |
| Founded | 2010 | 2015 |
| Headquarters | London, United Kingdom | Oslo, Norway |
| Status | Active | Active |
Size, funding and growth
| Measure | Google DeepMind | Iris.ai |
|---|---|---|
| Employees | 8,831 | 40 |
| Headcount growthLast 12 months | +37.1% | -25.9% |
| Total funding | $677M | $10.4M |
| Latest round | Acquisition | Series A |
| LinkedIn followers | 1,587,690 | 10,536 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Google DeepMind | Iris.ai |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 83/100 | 58/100 |
| Traction | 60/100 | 51/100 |
| Team | 70/100 | 70/100 |
| Community | 33/100 | Not published |
| Search visibility | 71/100 | 32/100 |
| Quality | 97/100 | 62/100 |
| Agent readinessHow well an AI agent can read and act on the site | F (34/100) | D (49/100) |
| Domain ratingLink authority, 0-100 | 89/100 | 60/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Google DeepMind | Iris.ai |
|---|---|---|
| Hosting | Google Cloud | AWS |
| CMS | Not detected | Ghost |
| Frameworks | Not detected | Angular, Tailwind CSS |
| Analytics | Google Tag Manager | Not detected |
| Open source | Yes | No |
What users say
| Measure | Google DeepMind | Iris.ai |
|---|---|---|
| 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 Iris.ai: common questions
Which is better, Google DeepMind or Iris.ai?
On our 0-100 score Google DeepMind rates higher (83/100 against 58/100). 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 21 data points above: read the rows that match what you are buying for.
How do Google DeepMind and Iris.ai compare on the numbers?
Google DeepMind leads on our overall score (83/100 against 58/100), domain rating (89/100 against 60/100), headcount (8,831 against 40), headcount growth (+37.1% against -25.9%), funding raised ($677M against $10.4M), LinkedIn following (1,587,690 against 10,536). Iris.ai leads on agent readiness (49/100 against 34/100).
What do real users say about Google DeepMind and Iris.ai?
Google DeepMind: 5 positive and 0 negative mentions across 6 Reddit threads we track.
Read the full Google DeepMind review and pricing or the Iris.ai review and pricing. You can also browse other Google DeepMind alternatives we track.