What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in ai api category. Our data sources in ai api category include;
Artificial intelligence (AI) APIs integrate different AI and machine learning techniques for users to obtain detailed insights about their data. These APIs can be used in a variety of business functions, including face recognition, sentiment analysis, spam filtering and language detection.
If you’d like to learn about the ecosystem consisting of AI API and others, feel free to check AIMultiple Machine Learning APIs.
AIMultiple is data driven. Evaluate 304 services based on
comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is
calculated based on objective data.
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We use the data sources on the side for ranking solutions and awarding badges in ai api category. Our data sources in ai api category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Microsoft Azure Cognitive Services Ink Recognizer API
CrowdStrike Threat Graph API
zvelo API
SEON API
Scale AI API
Taking into account the latest metrics outlined below, these are the current ai api market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Microsoft Azure Cognitive Services Ink Recognizer API
CrowdStrike Threat Graph API
Google Cloud AI Platform Pipelines API
SnatchBot API
CrowdStrike Falcon Respond API
These are the number of queries on search engines which include the brand name of the solution. Compared to other Machine Learning APIs categories, AI API is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 99%, 11% more than the average of search queries in this area.
10 employees work for a typical company in this solution category which is 11 less than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 52 companies with >10 employees are offering ai api. Top 3 products are developed by companies with a total of 300k employees. The largest company building ai api is AT&T with more than 200,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Microsoft Azure Cognitive Services Ink Recognizer API
CrowdStrike Threat Graph API
SEON API
zvelo API
Scale AI API
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all AI API companies. The most positive word describing AI API is “Easy to use” that is used in 4% of the reviews. The most negative one is “Difficult” with which is used in 3.00% of all the AI API reviews.
According to customer reviews, most common company size for ai api customers is 1-50 Employees. Customers with 1-50 Employees make up 33% of ai api customers. For an average Machine Learning APIs solution, customers with 1-50 Employees make up 21% of total customers.
These scores are the average scores collected from customer reviews for all AI APIs. AI APIs is most positively evaluated in terms of "Overall" but falls behind in "Ease of Use".
This category was searched on average for 2.6k times per month on search engines in 2022. This number has increased to 6.6k in 2023. If we compare with other machine learning apis solutions, a typical solution was searched 1.5k times in 2022 and this increased to 4.4k in 2023.