Tabnine is an enterprise AI coding platform available in four deployment configurations: multi-tenant SaaS, single-tenant VPC, on-premises, and fully air-gapped. All four run the same product at the same feature level — deployment choice is driven by data governance requirements rather than feature access.
The Enterprise Context Engine indexes internal repositories (GitHub, GitLab, Bitbucket, Perforce), Jira, and Confluence so that suggestions and chat responses reflect internal APIs and conventions rather than public training data. The Tabnine CLI brings the same engine to terminal and CI pipeline contexts for headless agent tasks including test generation, PR drafts, and refactoring runs.
Coaching Guidelines encode team standards as enforceable rules that the AI checks at suggestion time. Admin controls set per-user and per-team LLM access policies, reserved token quotas, and model selection from available BYOLLM endpoints. Code provenance tracking records every AI-generated suggestion. Pricing: $39/user/month (Standard) to $59/user/month (Enterprise), with contact-sales pricing for air-gapped deployments.