Tabnine.
Privacy-first IDE assistant with full on-prem deployment and zero data retention.
What it is.
Founded by the founding team in 2013 — the original IDE completion engine, predating the LLM era. Tabnine now offers Protected, a model trained only on permissively licensed code, alongside routing to Claude and GPT-5. The product still leads on privacy: zero retention by default, full on-prem deployment, customer-trained models for enterprise tier.
Where it fits.
Banks, defence contractors, healthcare providers, and pharma companies that cannot ship code to a third-party model. Tabnine sits inside JPMorgan, Roche, and several US federal agencies. The Protected model addresses copyright-indemnity procurement questions Copilot still struggles with.
- Strongest on-prem and zero-retention story in the category
- Protected model removes copyright procurement objections
- Twelve years of IDE-completion engineering depth
- Agent and multi-file UX behind Cursor and Copilot
- Default completion quality trails frontier-model competitors
Frequently asked.
Is Tabnine fully on-prem?
Yes. The Enterprise on-prem deployment runs the entire stack inside the customer network with no external calls. Used inside three of the four largest US banks.
What is Tabnine Protected?
A code model trained exclusively on permissively licensed source. Tabnine indemnifies customers against copyright claims on its output.
Can Tabnine route to Claude or GPT-5?
Yes. Enterprise customers can route per-task between Protected, Claude, and GPT-5 — with audit logging and per-team policy controls.
