We have data on 74 companies that use Synthesys. The companies using Synthesys are most often found in United States and in the Financial Services industry. Synthesys is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Synthesys usage goes back as far as 5 years and 9 months.
If you’re interested in the companies that use Synthesys, you may want to check out Google Translate API and MXNet as well.
Company | NetSuite Inc |
Website | netsuite.com |
Country | United States |
Revenue | 200M-1000M |
Company Size | >10000 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
NetSuite Inc | netsuite.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 Natural Language Processing (NLP). 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 Natural Language Processing (NLP) category, Synthesys has a market share of about 0.1%. Other major and competing products in this category include:
Synthesys is a solution that adds the brainpower of thousands of people to a team. by reading through all data and highlights the important people, places, organizations, events and facts being discussed, resolve highlighted points and determines what's important, connecting the dots together and figures out what the final picture means by comparing it with the opportunities, risks and anomalies that are looking for.
Looking at Synthesys customers by industry, we find that Financial Services (23%), Information Technology and Services (20%) and Banking (8%) are the largest segments.
71% of Synthesys customers are in United States.
Of all the customers that are using Synthesys, a majority (53%) are large (>1000 employees), 15% are small (<50 employees) and 19% are medium-sized.
Of all the customers that are using Synthesys, a majority (50%) are large (>$1000M), 32% are small (<$50M) and 0% are medium-sized.