Tabnine
Privacy-first AI coding assistant with self-hosted and air-gapped deployment.
- Starting price
- Pro $12 / month
- Free trial
- Trial
- Commercial use
- Yes
Overview
Tabnine is an AI coding assistant built for organizations with strict privacy and compliance needs. It offers code completions and an AI chat that spans the software development lifecycle, plus agentic workflows for planning and execution, and can be deployed as SaaS, on-premises or fully air-gapped with zero data retention. An enterprise context engine maps a company's own architecture and standards, models can be selected or fine-tuned on internal code, and it works across VS Code, the JetBrains IDEs and other popular editors with license-compliant models to reduce IP risk.
Best for teams with strict data-residency or privacy requirements that cannot use cloud tools.
Tabnine is aimed at regulated teams and enterprises that cannot send source code to a shared cloud service. Its distinguishing feature is deployment flexibility, from SaaS to fully air-gapped, paired with zero data retention, model choice and the option to fine-tune on a private codebase. Completions and chat run across the common IDEs, and license-aware models are positioned to limit copyright exposure.
Key Facts
| Category | |
|---|---|
| Starting price | Pro $12 / month Enterprise $39 per month, billed annually. |
| Free trial | Trial |
| Commercial use | Yes |
| Output | Completions and chat with strict data control |
| API | N/A |
Screenshots
Placeholders. They are replaced as soon as the vendor sends material, and both open the same short form.
Features
- Where it runs
- Broad IDE support
- Inline completions
- Yes, inline whole-line suggestions as you type, full-function completions after a declaration and comment-to-code, accepted with Tab or partially word by word
- Agent mode
- Yes, Tabnine Agent works autonomously towards a stated goal, covering codebase-wide refactoring, test generation, documentation and policy validation, and deciding for itself when to stop and ask for approval
- Model choice
- Custom models trained on your own repositories
- Data control
- Fully air-gapped and self-hosted deployment, zero data retention
- Ecosystem fit
- VS Code, Visual Studio 2022 and 2026 on Windows, Eclipse and the JetBrains IntelliJ platform IDEs (IntelliJ IDEA, PyCharm, WebStorm, PhpStorm, GoLand, CLion, Rider, RubyMine, DataGrip, RustRover, DataSpell, Aqua and Android Studio); plugins for other editors are legacy or community-built and carry fewer features
- API
- N/A
Integrations
Integrations coming soon.
Deployment and Support
- Deployment
-
- Cloud (SaaS)
- Browser-based
- On-premise
- Onboarding
-
- Documentation and knowledge base
- Company size
-
- Small and mid-sized
- Enterprise
Suitability
| Industry | Freelancers | Small and mid-sized | Enterprise |
|---|---|---|---|
| Agencies | Not stated | Not stated | Not stated |
| Architecture & Engineering | Not stated | Not stated | Not stated |
| Consulting | Not stated | Not stated | Not stated |
| Media & Creative | Not stated | Not stated | Not stated |
| Technology | Not stated | Stated as a fit | Stated as a fit |
The table combines the industries the vendor addresses with the company sizes the tool is aimed at. An empty cell means the combination is not stated, not that it is ruled out.
Pros and Cons
Strengths
- Only major tool with air-gapped self-hosting and zero data retention
- Custom models on your own repositories
- Broad IDE support
Limitations
- AI quality trails the leaders for agentic work
- Annual commitment, no monthly plan
Pricing
-
Pro
$12
Per month.
-
Enterprise
$39
Per month, billed annually.
Best For
Alternatives and Comparisons
What users say
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