Tabnine is a privacy-focused AI coding assistant offering personalized code completion and chat, deployable in the cloud or fully air-gapped.
Tabnine was one of the first AI coding tools and has carved a niche with enterprises that cannot send code to public clouds. Its assistant learns from your team’s code to personalize completions and chat, works across major IDEs, and can run entirely air-gapped inside a private network. The platform supports model choice β including purpose-built small models that run locally β and provides centralized administration for provisioning, policy, and monitoring. Tabnine’s roadmap emphasizes personalized, context-aware assistance grounded in the organization’s own repositories and standards rather than open-source averages. For regulated industries such as finance, defense, and healthcare, that deployment flexibility is often the deciding factor over flashier cloud-only competitors. Its small purpose-built models deliver fast completions even on modest hardware, and enterprise policy controls let administrators govern which models run, where data flows, and how assistance is metered per team. Its support for multiple IDEs and languages ensures broad adoption across heterogeneous engineering organizations with legacy and modern stacks side by side.
A free Dev plan covers basic completions. Paid seats add advanced chat, personalization, and enterprise administration, while enterprise agreements support air-gapped installs and custom model configurations.
Engineering organizations in regulated or security-sensitive industries that need AI coding help on their own terms, with deployment models no cloud-only assistant will offer. It fits platform teams responsible for developer tooling across large organizations, where governance and deployment flexibility outweigh any single feature advantage of consumer-oriented assistants.