We have data on 94 companies that use Facebook AI Similarity Search (Faiss). The companies using Facebook AI Similarity Search (Faiss) are most often found in United States and in the Information Technology and Services industry. Facebook AI Similarity Search (Faiss) is most often used by companies with >10000 employees and 1M-10M dollars in revenue. Our data for Facebook AI Similarity Search (Faiss) usage goes back as far as 1 years and 9 months.
If you’re interested in the companies that use Facebook AI Similarity Search (Faiss), you may want to check out Google Translate API and TensorFlow as well.
| Company | Accenture PLC |
| Website | accenture.com |
| Country | Ireland |
| Revenue | >10B |
| Company Size | >10000 |
| Company | Infosys Ltd |
| Website | infosys.com |
| Country | India |
| Revenue | >10B |
| Company Size | >10000 |
| Company | International Business Machines Corporation |
| Website | ibm.com |
| Country | United States |
| Revenue | >10B |
| Company Size | >10000 |
| Company | Amazon.com, Inc. |
| Website | amazon.com |
| Country | United States |
| Revenue | >10B |
| Company Size | >10000 |
| Company | Ernst & Young |
| Website | ey.com |
| Country | United States |
| Revenue | 200M-1000M |
| Company Size | >10000 |
| Company | Website | Country | Revenue | Company Size |
|---|---|---|---|---|
| Accenture PLC | accenture.com | Ireland | >10B | >10000 |
| Infosys Ltd | infosys.com | India | >10B | >10000 |
| International Business Machines Corporation | ibm.com | United States | >10B | >10000 |
| Amazon.com, Inc. | amazon.com | United States | >10B | >10000 |
| Ernst & Young | ey.com | United States | 200M-1000M | >10000 |
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Artificial Intelligence. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Artificial Intelligence category, Facebook AI Similarity Search (Faiss) has a market share of about 0.1%. Other major and competing products in this category include:
Facebook AI Similarity Search (Faiss) is a library that allows developers to quickly search for embeddings of multimedia documents that are similar to each other. It solves limitations of traditional query search engines that are optimized for hash-based searches and provides more scalable similarity search functions.
Looking at Facebook AI Similarity Search (Faiss) customers by industry, we find that Information Technology and Services (32%), Computer Software (10%), Internet (5%) and Higher Education (5%) are the largest segments.
48% of Facebook AI Similarity Search (Faiss) customers are in United States, 16% are in India and 6% are in Canada.
Of all the customers that are using Facebook AI Similarity Search (Faiss), 28% are small (<50 employees), 24% are medium-sized and 42% are large (>1000 employees).
Of all the customers that are using Facebook AI Similarity Search (Faiss), 31% are small (<$50M), 13% are medium-sized and 15% are large (>$1000M).