Top AI Development Companies
Artificial intelligence and machine learning solutions, custom-made for machine learning models, natural language processing, machine vision, recommendation engines, anomaly detection, chatbots, image recognition, and deep learning algorithms, implemented at scale for commercial purposes.
78 companies found
I
Infinum
VerifiedInfinum is a full-service digital consultancy founded in Croatia in 2005. Today, it also p...
NL
NADCAB LABS
VerifiedDecentralized System Experts
I(
ISL (iStrategyLabs)
VerifiedInnovative Digital & Architectural
HD
Hitech Digital Solutions
VerifiedEnd-to-End Digital Architecture
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Diffco
VerifiedDiffco is an AI-focused software development company based in Silicon Valley with over 16...
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Itransition
VerifiedItransition is a global IT company based in Denver, founded in 1998. It serves AI-powered...
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Plavno
VerifiedPlavno is a software development company based in Warsaw, Poland, with more than 15 years...
D
Dreamix
VerifiedDreamix is a software company based in Sofia, Bulgaria, that started in 2007. It helps big...
Y
Yalantis
VerifiedInnovative Digital Solutions
TD
The Distance App Developers
VerifiedTrusted App & Design
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Contact UsFrequently asked questions
What is AI development?
Developing solutions that can learn based on data for such purposes as prediction, chatbots, image recognition, and automation through the use of ML, NLP, or CV.
What companies use AI?
Retail for recommendations, healthcare for diagnostics, finance for fraud detection, or any company for chatbots and analytics.
How much time does AI development take?
Simple algorithms take 3-6 months; complex systems take 6-12+ months, depending on data preparation
What is the price range for AI development?
The cost of basic AI ranges from $50,000 to $150,000, while advanced custom solutions typically cost $200,000–$800,000+.
Is much data needed when creating AI?
Yes, yet using pre-trained algorithms or transfer learning may reduce the need for large amounts of data.
Is AI ethical and unbiased?
Created according to the principles of bias elimination, transparency, and AI ethics guidelines.
Can AI be integrated into existing applications?
Yes, through API integration and features such as personalization or automation.
How to evaluate AI performance?
By accuracy metrics, return on investment, user engagement, etc.