What is Tabnine
Tabnine is an AI code assistant utilizing multiple LLMs from Anthropic, OpenAI, Google, Meta, Mistral, and more. Its enterprise-grade security features and on-premises support make it widely adopted in industries with high security requirements such as finance, defense, and healthcare.
2025 Achievements: Selected as Visionary in Gartner Magic Quadrant 2025 and Leader in Omdia Universe 2025.
Main Features
- Multi-LLM Support: Switch between GPT-4o, Claude 4, Gemini 2.0 Flash with one click
- Image-to-Code: Generate code from Figma mockups, ER diagrams, flowcharts
- Enterprise Context Engine: Learns organization-specific architecture and coding standards
- Flexible Deployment Options: SaaS, VPC, on-premises, air-gapped environments
- Zero Code Retention: No code storage, learning, or third-party sharing
Pricing Plans
| Plan | Price | Details |
|---|---|---|
| Free | $0 | Basic AI code completion, local execution |
| Pro | $12/user/month | Best-in-class AI models, 90-day free trial |
| Enterprise | $39/user/month | Private deployment, fine-tuning, Jira/Confluence integration |
Note: A 500-developer team using Enterprise plan costs approximately $234,000/year.
Security & Compliance
- Data Privacy: Zero code retention, end-to-end encryption, TLS support
- Compliance: GDPR, SOC 2, ISO 27001 compliant
- License Risk Protection: Built-in license checking functionality
Supported IDEs
- VS Code
- JetBrains IDE (IntelliJ, PyCharm, WebStorm, etc.)
- Eclipse
- Visual Studio 2022
Supported Languages
Supports 600+ programming languages and frameworks
2025 New Features
Air-Gapped Environment Support
Turnkey, GPU-accelerated air-gapped deployment announced jointly with Dell at NVIDIA GTC 2025. For finance, defense, and healthcare teams that cannot send code to the cloud.
Official Links
Summary
Tabnine is an enterprise AI code assistant that prioritizes security and privacy. It can operate in on-premises and air-gapped environments, allowing safe adoption even in highly regulated industries. With 2025’s multi-LLM support and Image-to-Code features, it significantly improves development productivity.
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