Every AI Development company in the directory, ranked by client rating weighted for review volume. Filter by country, budget and team size.
AI agents and financial services work, on a mid-market minimum with a large review base.
Two decades of custom enterprise software at offshore value.
Mobile-first products. The clearest specialist on this page, and not a general software house.
3,000 engineers, 25 years, and some of the best value in enterprise dev.
Product engineering with AWS depth and startup velocity at scale.
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The most-awarded UI studio on Awwwards, now designing AI products.
Product-minded Ukrainian team with a 4.9 rating and AI-first playbooks.
Enterprise AI builders behind 100+ LLM and blockchain deployments.
30+ years of Ukrainian engineering excellence, enterprise-hardened.
GenAI product studio shipping agents, copilots, and RAG systems fast.
Conversational AI veterans behind bots for T-Mobile and Burberry.
Ukrainian R&D-grade AI team powering startups’ core models.
Polish AI consultancy trusted by Porsche and Hertz for data platforms.
Healthcare-first engineering with FHIR fluency and AI layers.
Silicon Valley leadership, Indian engineering — CRM and AI builds.
Polish team turning SaaS products AI-native since before it was cool.
GenAI apps, agents, and chatbots at startup-friendly rates.
Sunnyvale boutique embedding AI into Valley-startup builds.
3,000+ engineers on demand — AI pods for scale-ups and enterprises.
A decade of applied data science: CV, NLP, and predictive systems.
30 years of Boston-managed engineering, now with clinical AI chops.
US-onshore AI consulting for logistics and operations-heavy firms.
Austin-led global teams shipping AI features inside enterprise builds.
Toronto ML boutique for healthcare and B2B data products.
LatAm’s outsourcing giant: 4,000+ engineers in US time zones.
By client rating, weighted for how many reviews stand behind it. A company rated 4.9 across 149 reviews ranks above one rated 5.0 across 8, because the larger sample tells you more. Nothing else moves a company up or down. The criteria below are what to check on each profile before you shortlist.
Client ratings and review counts read from public review platforms.
Depth of shipped work, case studies and the calibre of named clients.
Published rates and engagement models buyers can compare before a call.
Team size, seniority mix and how long the company has operated.
Momentum in the category and independent recognition.
Score = (reviews × rating + 25 × 4.5) ÷ (reviews + 25)
A company is treated as close to 4.5 stars until it has more than 25 reviews, after which its own rating takes over. Placement cannot be purchased.
By client rating, weighted for how many reviews stand behind it. A company rated 4.9 across 149 reviews ranks above one rated 5.0 across 8, because the larger sample tells you more.
No. Placement cannot be purchased. The order comes from the rating and review data alone.
Use the hourly rate filter. Rates are shown as each company publishes them, so treat them as a starting signal and confirm scope before comparing quotes.
List it free. It is checked against the same data as every company on this page, and placement cannot be bought.
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