AI development companies, agent builders and machine learning firms, sorted by what you're building.

It depends on scope. A proof of concept or a chatbot built on an existing model usually costs far less than a custom agent, a RAG system or a production machine learning platform, and rates vary widely by region. Our AI development cost guide breaks down typical rates and project prices.

Consultancies focus on strategy, use-case selection, data readiness and governance. Development companies build and ship the software: models, integrations, agents and the infrastructure that runs them. Many firms do both, so check their case studies for production work.

In-house makes sense when AI is core to your product and you can hire and keep machine learning engineers. A partner is usually faster for a first production use case, and many companies start with a partner and bring the work in-house later.

Each list is researched by ReVerb’s editors against the criteria set out in that list, covering services, client work, reviews and public footprint. Lists are refreshed as the market changes.