Faiss by Meta vs Iris.ai
Faiss by Meta vs Iris.ai, compared side by side on 13 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: Faiss by Meta is on 28/100 and Iris.ai on 58/100.
Where each one leads
Faiss by Meta
- domain rating: 97/100 against 60/100
Iris.ai
- our overall score: 58/100 against 28/100
At a glance
| Measure | Faiss by Meta | Iris.ai |
|---|---|---|
| What it is | Open-source library by Meta AI for efficient similarity search and clustering of dense vectors. | AI knowledge foundation for regulated enterprises, turning complex data into AI you can trust. |
| Category | AI Foundation & Compute, Embedding Model, Vector Database, Machine Learning | AI Foundation & Compute, Agentic AI, RAG, Foundation Model |
| Sells toBusiness model | Open Source | B2B |
| Offering | Software | Software | platform |
| Founded | 2017 | 2015 |
| Headquarters | Not published | Oslo, Norway |
| Status | Active | Active |
Size, funding and growth
| Measure | Faiss by Meta | Iris.ai |
|---|---|---|
| Employees | Not published | 40 |
| Headcount growthLast 12 months | Not published | -25.9% |
| Total funding | Not published | $10.4M |
| Latest round | Not published | Series A |
| LinkedIn followers | Not published | 10,536 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Faiss by Meta | Iris.ai |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 28/100 | 58/100 |
| Traction | Not published | 51/100 |
| Team | 70/100 | 70/100 |
| Search visibility | 19/100 | 32/100 |
| Quality | Not published | 62/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (45/100) | D (49/100) |
| Domain ratingLink authority, 0-100 | 97/100 | 60/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Faiss by Meta | Iris.ai |
|---|---|---|
| Hosting | Not detected | AWS |
| CMS | Not detected | Ghost |
| Frameworks | Not detected | Angular, Tailwind CSS |
| Open source | Yes | No |
| Self-hostable | Yes | No |
What users say
| Measure | Faiss by Meta | Iris.ai |
|---|---|---|
| Reddit sentimentThreads we track | 0 positive, 0 negative across 1 thread | Not published |
“It outperforms pgvector by 4x and significantly surpasses FAISS in disk-storage scenarios.”r/LocalLLaMA
Faiss by Meta vs Iris.ai: common questions
Which is better, Faiss by Meta or Iris.ai?
On our 0-100 score Iris.ai rates higher (58/100 against 28/100). 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 13 data points above: read the rows that match what you are buying for.
How do Faiss by Meta and Iris.ai compare on the numbers?
Faiss by Meta leads on domain rating (97/100 against 60/100). Iris.ai leads on our overall score (58/100 against 28/100).
What do real users say about Faiss by Meta and Iris.ai?
Faiss by Meta: 0 positive and 0 negative mentions across 1 Reddit threads we track, mostly in r/LocalLLaMA.
Read the full Faiss by Meta review and pricing or the Iris.ai review and pricing. You can also browse other Faiss by Meta alternatives we track.