Best fit
Who should shortlist this first
- Code Generation buyers
Tabnine is an AI-powered code completion tool that helps developers write code faster by providing intelligent code suggestions and autocompletions.
Pricing
$9 / month
Reviews
50+
Founded
2017
Team Size
51-200 employees
Current Deal
20% off when switching from a competitor
About Tabnine
Tabnine is an AI code assistant that uses generative artificial intelligence to make development faster and simpler. It integrates with various integrated development environments (IDEs) and supports more than 80 programming languages and frameworks. The platform offers highly personalized and customizable code predictions to reduce errors and improve productivity.
Tabnine ensures you will maintain complete privacy over your codebase and data, with end-to-end encryption and zero data retention. Key Features AI Code Completion : Provides real-time, context-aware code suggestions across 80+ programming languages. AI-Powered Chat : Enables natural language interactions for code generation, explanation, testing, and documentation. Personalized Recommendations : Tailors suggestions to your coding style using your codebase.
Customizable AI Models : Supports multiple AI models, including in-house and third-party options like Mistral and OpenAI. Comprehensive IDE Support : Integrates with major IDEs like VS Code, IntelliJ, and Eclipse. Enhanced Code Privacy : Offers on-premises deployment and zero data retention for secure development. IP Liability Protection : Uses models trained only on permissively licensed code and provides indemnification for enterprises.
Pricing
$9 / month
Tabnine offers two pricing tiers.
Dev plan, offering an AI code assistant for professional developers, at $9 per month (and free for 30 days).
Enterprise plan, offering a private, secure AI-powered development platform optimized for your business, at $39 per user month.
A 14-day free trial is available for Tabnine Dev.
Buyer Fit & Commercial Snapshot
Buyer teams
Common buyer roles
- AI-Powered
- Enterprise-Ready
Commercials
Commercial snapshot
Pricing
$9 / month
Reviews
50+
Founded
2017
Team Size
51-200 employees
Procurement
Questions to answer before purchase
- Confirm security, access controls, and onboarding ownership directly with the vendor.
- Validate how $9 / month pricing scales as usage grows.
- Review website and support resources before procurement review.
- Compare the current deal terms against standard packaging and renewal structure.
Buyer-fit and commercial detail available
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Agent Operating Model & Governance
Operating model
Agentic buying snapshot
Autonomy
Agentic execution within buyer-defined guardrails
Approvals
Buyer-defined controls
Connected Systems
3
Evals
Clarify during review
$9 / month plus agent-runtime, model, or workflow consumption should be clarified during procurement.
Human oversight
Approval gates
- Clarify which actions pause for human review versus execute automatically.
- Document whether admins can require approval before outbound messages, record updates, purchases, or payments.
- Confirm that approval events are visible in audit logs and trace history.
Systems
Connected systems and execution surfaces
Connected systems
- CRM, support, docs, browser, messaging, and custom APIs should be documented before rollout.
- Check whether admins can scope tool access by workflow, user role, or environment.
- Ask which systems are first-class integrations versus custom connectors.
- Jotform
- Hotjar
- SAP Concur
- Trivy
- AI-Powered
Execution surfaces
BrowserEmailCRMSupport toolsCustom APIsMessaging surfaces
Models
Model stack, observability, and evals
Model stack
- Supported model providers and routing controls should be explicit.
- Clarify fallback behavior between providers, models, or prompts.
- Check whether model choice is buyer-configurable by workflow.
Observability
- Trace visibility across prompts, tool calls, latency, and cost.
- Audit trail for approvals, failures, retries, and handoffs.
- Operational analytics that help teams understand run quality over time.
Eval coverage
- Regression datasets for critical workflows and prompts.
- Task-success or rubric-based scoring on agent outcomes.
- Human-review loops to validate edge cases before broad rollout.
Governance
Data boundaries and fallbacks
- Retention windows, model-training policy, and tenant isolation should be explicit.
- Per-tool permissions and least-privilege access matter for production rollout.
- Confirm PII handling, redaction controls, and region or residency options.
Tabnine should document how runs pause, retry, escalate, or hand off when confidence drops or a tool step fails.
Agent buying criteria available
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Stack Fit, Alternatives & Trust
Ecosystem
Commonly evaluated with
JotformHotjarSAP ConcurTrivyAI-PoweredEnterprise-Ready
Alternatives
Other products buyers may compare
- GitHub Copilot
- Lovable
- Cursor AI
- GitLab
- Docker
- Replit
- Claude Code
- Sentry
Trust
Signals available today
- Users consistently praise Tabnine for its AI-powered features and responsive support team. The platform is well-regarded for meeting the needs of its target users. Some note that output quality varies and requires developer review.
- LinkedIn company profile available
- Profile refreshed Jun 22, 2025
- Public profile launched Jun 22, 2025
Executive scan
Summary and what a claimed profile unlocks
Tabnine is a code generation product positioned for buyers that want stronger context around pricing, category fit, and real-world proof before committing to a shortlist.
How should buyers evaluate this profile?
Start with category fit, pricing posture, and buyer proof. Then confirm rollout support and procurement readiness directly with the vendor.
What makes the profile stronger after a vendor claims it?
Claimed profiles unlock richer buyer-fit notes, rollout guidance, procurement details, outcome proof, alternatives, and freshness updates.
Deeper stack and trust research available
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Case Studies
Enterprise deployment at scale
A mid-market company implemented Tabnine across 3 departments, reducing operational overhead and consolidating their workflow into a single platform...
ROI within first quarter
After switching to Tabnine, the team reported measurable improvements in efficiency and a positive return on investment within 90 days...
Case studies available
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Notable Customers
- Intel
- AstraZeneca
- Cohere
- Binance
- Deltek
Named customer proof available
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