We have data on 84 companies that use LingPipe. The companies using LingPipe are most often found in United States and in the Computer Software industry. LingPipe is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for LingPipe usage goes back as far as 6 years and 3 months.
|Company||Home Depot Inc|
|Company||Arizona State University|
|Company||HP Development Company, L.P.|
|Company||Tata Consultancy Services Ltd|
|Home Depot Inc||homedepot.com||United States||>1000M||>10000|
|Arizona State University||asu.edu||United States||>1000M||>10000|
|HP Development Company, L.P.||hp.com||United States||>1000M||>10000|
|Salesforce, Inc||salesforce.com||United States||>1000M||>10000|
|Tata Consultancy Services Ltd||tcs.com||India||>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, LingPipe has a market share of about 0.1%. Other major and competing products in this category include:
LingPipe is a tool kit for processing text using computational linguistics that is used to do tasks like: Find the names of people, organizations or locations in news, Automatically classify Twitter search results into categories and Suggest correct spellings of queries.
Looking at LingPipe customers by industry, we find that Computer Software (18%), Higher Education (17%), Information Technology and Services (16%) and Financial Services (6%) are the largest segments.
60% of LingPipe customers are in United States, 10% are in India and 5% are in United Kingdom.
Of all the customers that are using LingPipe, 27% are small (<50 employees), 22% are medium-sized and 42% are large (>1000 employees).
Of all the customers that are using LingPipe, 42% are small (<$50M), 0% are medium-sized and 40% are large (>$1000M).