What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in ai/ml development services category. Our data sources in ai/ml development services category include;
Artificial intelligence (AI) development companies help businesses to implement AI, machine learning, and data science applications in their business processes. AI applications allow companies to save time, cut costs, and deliver smart services to customers.
These companies are also called machine learning development companies, data science model development companies or deep learning development companies. This is because machine learning/deep learning are the most commercially applied AI approaches.
If you’d like to learn about the ecosystem consisting of AI/ML Development Services and others, feel free to check AIMultiple AI Services.
AIMultiple is data driven. Evaluate 1121 services based on
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calculated based on objective data.
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Haptik builds Conversational AI solutions for you to help customers find the right information at the right time through their preferred channel. Haptik’s proprietary NLU enables most human-like co ... Show More
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
We use the data sources on the side for ranking solutions and awarding badges in ai/ml development services category. Our data sources in ai/ml development services category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Toptal
Signifyd
Darktrace
NTT Data
DataRobot
Taking into account the latest metrics outlined below, these are the current ai/ml development services market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Toptal
Signifyd
NTT Data
DataRobot
Haptik
These are the number of queries on search engines which include the brand name of the solution. Compared to other AI Services categories, AI/ML Development Services is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 56%, 31% more than the average of search queries in this area.
26 employees work for a typical company in this solution category which is 5 more 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. 116 companies with >10 employees are offering ai/ml development services. Top 3 products are developed by companies with a total of 100k employees. The largest company building ai/ml development services is Atos with more than 80,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Darktrace
NTT Data
Toptal
Signifyd
DataRobot
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/ML Development Services companies. The most positive word describing AI/ML Development Services is “Easy to use” that is used in 3% of the reviews. The most negative one is “Difficult” with which is used in 1.00% of all the AI/ML Development Services reviews.
According to customer reviews, most common company size for ai/ml development services customers is 1-50 Employees. Customers with 1-50 Employees make up 40% of ai/ml development services customers. For an average AI Services solution, customers with 1-50 Employees make up 32% of total customers.
These scores are the average scores collected from customer reviews for all AI/ML Development Services. AI/ML Development Services is most positively evaluated in terms of "Overall" but falls behind in "Likelihood to Recommend".
This category was searched on average for 4.2k times per month on search engines in 2022. This number has increased to 4.4k in 2023. If we compare with other ai services solutions, a typical solution was searched 3k times in 2022 and this decreased to 2.9k in 2023.