Enterprise
Custom
Enterprise subscription via SaaS or private installation, set up with the Tabnine team
- Secure SaaS
- VPC or on-premises deployment
- Admin controls
- Context Engine
- Agent and Chat
Tabnine
Privacy-focused AI coding agent for enterprise teams, deployable in your own environment
Paidtabnine.comUpdated
About Tabnine
Tabnine is an AI coding assistant aimed at enterprise software teams. Its documentation describes it as a fully private, organization-aware AI coding agent that can run entirely within a customer's own environment and connects to the team's repositories and development systems. Developers use Tabnine Agent from an IDE or the command line to carry out coding tasks, and Tabnine Chat to ask questions about their codebase. Administrators get analytics, team and user management, and governance controls. Pricing and plan details are not publicly available at the time of research, as the vendor's website now redirects to its new parent company, Tricentis. The documentation lists IDE plugins for several major editors and a command-line agent, plus an API for administrators.
Best for
- Private VPC, on-premises or air-gapped AI coding assistance, Admin governance of AI usage, Codebase-aware context
- Air-Gapped Enterprise Development: Running Tabnine in an on-premises or air-gapped cluster so source code never leaves the organization's network.
- Codebase Q&A for Onboarding: Using Tabnine Chat to ask questions about unfamiliar repositories and internal conventions.
- Agent-Driven Coding Tasks: Delegating multi-step changes to Tabnine Agent inside the IDE with team guidelines applied.
- Engineering Governance: Using admin analytics and API data to monitor and manage AI usage across teams.
Not ideal for
- Individual hobbyists wanting a self-serve free tier, teams that need transparent public pricing
Popular with
- Enterprise Software Engineers
- Engineering Teams
- Platform and DevOps Teams
- Security-Conscious Organizations
Key features
- Tabnine Agent
- Tabnine Chat
- Enterprise Context Engine
- Flexible Deployment
- Model Choice
- Provenance and Attribution
- MCP Support
- Admin and Analytics
Pros and cons
Pros
- Supports private VPC, on-premises and air-gapped deployments, which many AI coding tools do not offer.
- Covers VS Code, JetBrains, Eclipse and Visual Studio rather than a single editor.
- Lets teams choose between Tabnine's own models and several third-party models.
- Enterprise Context Engine gives agents repository, ticket and documentation context; Tricentis cites customer-reported gains of up to 2x accuracy and up to 80% lower token use.
- Documented admin analytics, user management and a public API for automation.
Cons
- Public pricing could not be verified because tabnine.com now redirects to Tricentis.
- Enterprise accounts are set up with the Tabnine team, so there is no clear self-serve path.
- The legacy VS Code extension (about 9.6M installs) carries a notice that Tabnine does not onboard new users to it.
- The CLI is in maintenance mode and will be fully deprecated after December 31, 2026.
- The Tricentis acquisition makes the product's long-term standalone roadmap uncertain.
Pricing
Plans as listed by the vendor on . Check their site for current prices.
Our ratings
Scored out of 10 by the Finder Atlas editorial team.
7.5overall
- Ease of Use
- 7.5
- Feature Depth
- 8.0
- Value for Money
- 6.5
- Performance & Speed
- 7.5
- Documentation & Support
- 8.0
Platforms and integrations
Available on
- VS Code Extension
- JetBrains Plugin
- CLI
- API
Works with
- Visual Studio
- Eclipse
- IntelliJ IDEA
- PyCharm
- Atlassian Jira
- MCP servers
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Release history
Tricentis announced the acquisition of Tabnine to integrate its Enterprise Context Engine into the Tricentis platform
Tricentis announced the acquisition of Tabnine to integrate its Enterprise Context Engine into the Tricentis platform.
- v6.6
Tabnine CLI moved to maintenance mode, with critical updates through December 31, 2026
Tabnine CLI moved to maintenance mode, with critical updates through December 31, 2026.
$25 million Series B reported by Wikipedia
$25 million Series B reported by Wikipedia.
Reviews
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Frequently asked questions
Which IDEs does Tabnine support?
Tabnine's docs list VS Code, JetBrains IDEs built on the IntelliJ Platform, Eclipse, and Visual Studio 2022 and 2026. Visual Studio is Windows-only; the others run on Windows, macOS and Linux.
Can Tabnine run inside my own infrastructure?
Yes. Enterprise customers can use a private installation in a VPC on GCP, AWS or Azure, or on-premises, and the docs say these can be deployed in a completely air-gapped environment.
Which AI models does Tabnine use?
Tabnine uses its own proprietary models for completions and chat. Agent and Chat users can also choose third-party models including Claude, GPT, Gemini and Qwen models, whose privacy protections may differ from Tabnine's own.
Is Tabnine still an independent company?
No. Tricentis announced the acquisition of Tabnine on July 30, 2026 and plans to integrate its Enterprise Context Engine into the Tricentis Agentic Quality Engineering Platform. The terms were not disclosed in the press release.
What is the status of the Tabnine CLI?
The docs say the Tabnine CLI is in maintenance mode as of version 6.6, with critical updates only through December 31, 2026, and users are being moved to a Tabnine plugin for OpenCode.
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