Privacy-first AI code completion — on-premise models, air-gapped deployment, and enterprise data controls.
Tabnine is built for enterprises where code privacy is non-negotiable — on-premise deployment, air-gapped environments, private model training on your own codebase, and strict guarantees that your code is never used to train Tabnine's models. For regulated industries, defense contractors, and enterprises with strict IP policies, Tabnine is the only AI coding tool designed from the ground up around data sovereignty.
Tabnine launched in 2019 as one of the earliest AI code completion tools and has evolved a clear market position: the enterprise coding AI for organizations where code privacy is non-negotiable. While Copilot and Codeium operate cloud-first with various privacy terms, Tabnine offers on-premise model deployment — running AI models entirely within the enterprise's infrastructure, with no code transmitted to Tabnine servers. The air-gapped deployment option means Tabnine can operate in fully isolated environments with no external network access — critical for defense, intelligence, and regulated financial environments. Tabnine also offers private model training: organizations can fine-tune Tabnine models on their own codebase to produce organization-specific suggestions that reflect internal patterns, APIs, and conventions. For individual developers, the free plan provides basic completions with cloud-based processing. The Pro plan at $9/mo adds longer-context completions and more powerful models. The Enterprise plan — priced on contract — provides on-premise deployment, private training, air-gapping, SSO, and SAML integration. For organizations that have ruled out Copilot due to data concerns, Tabnine is typically the first alternative evaluated.
Deploy Tabnine's models within a fully isolated network environment — no outbound connections, no cloud APIs, no data leaving the perimeter. Developers in classified, defense, or high-security financial environments get AI code completion at the same quality level as cloud tools, without any external data transmission. This is the only enterprise-grade option for genuinely air-gapped coding AI.
Train a Tabnine model on your organization's internal codebase — internal APIs, proprietary frameworks, naming conventions, and architectural patterns — to produce completions that reflect how your organization actually codes. Suggestions that reference your actual internal libraries and follow your specific patterns are significantly more useful than generic completions from public code training.
No — Tabnine guarantees that customer code is never used to train shared models on any plan. The Enterprise on-premise option additionally ensures code never leaves your infrastructure at all.
Cloud plans (Free, Pro) process completions on Tabnine's servers with no code retention, but code does leave your machine. On-premise Enterprise deployment runs models within your infrastructure — code never leaves your network. Air-gapped deployment goes further: no external network connections at all, suitable for classified or isolated environments.
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