AD
Tabnine logo

Tabnine

Subscription🇮🇱Moderate Burn

The AI code assistant that puts enterprises in full control

87

Overall score

41

Heat score

Pricing

Code Assistant$39/user/month (annual)
Agentic Platform$59/user/month (annual)

Technical Specs

Inputs

Code Text, Natural Language Prompt, Codebase Context, Git History, Jira Ticket, Inline Comment, Open File

Outputs

Code Completion, Code Generation, Unit Test Generation, Code Documentation, Code Explanation, Bug Fix Suggestion, Code Refactoring, Pull Request Review

AI Type

Code

Model Architecture

Custom/Proprietary

Daily Prompts

N/A

Context Length

100K

Output Quality

Accuracy

86%

Content

84%

Reasoning

83%

Company Profile

Company

Tabnine Inc.

Founded

2013

HQ

Tel Aviv, Israel

Employees

60

Total Raised / Total Funding

$67.4M

Revenue

$5.8M

Valuation

$350M

ARR

$9M

CEO

Dror Weiss

Overview

Estimated Paid Users

25K

Current estimate

Total Earnings Till Date

$38M

+1.85% from last month

Market Share

4%

Current share

Average Session

45

Per active user

Hallucination Rate

14%

Model quality signal

Growth Rate

+0.58%

Monthly active users

Burn Rate

$500K

Total expenses / years active

Paid User Gain

+5.41%

Monthly paid user trend

Profit Analysis

$123M

Total Loss

$8.3M

Total Profit

$352.8M

Performance Metrics

Accuracy

86%

Context

84%

Reasoning

83%

Safety

96%

Benchmarks

No benchmark scores available.

Tabnine Models

Tabnine Universal Model

Type: Code

Description: Tabnine's first proprietary LLM-based code completion model, trained exclusively on permissively licensed open-source code. Supports 80+ programming languages and provides multi-line and full-function completions. Designed to never reproduce copyrighted code, offering IP protection as a core feature.

Context Length: 100K tokens

Architecture: Custom/Proprietary

Tabnine Chat Model (Protected)

Type: Text

Description: Tabnine's proprietary chat model for the Tabnine Chat feature, trained on permissively licensed code and designed for code explanation, documentation, test generation, and bug fixing. Runs privately inside enterprise deployments with zero data retention.

Context Length: 100K tokens

Architecture: Custom/Proprietary

Tabnine Enterprise Context Engine

Type: Other

Description: The Enterprise Context Engine is not a single model but an organizational intelligence layer that connects to unlimited codebases (GitHub, GitLab, Bitbucket, Perforce), Jira, Confluence, and other enterprise systems. It gives AI agents structured understanding of architecture, dependencies, APIs, and coding standards to power safe, org-aware agentic workflows.

Context Length: 100K tokens

Architecture: Custom/Proprietary

Funding Rounds & Investors

Total Funding

$67.4M

Rounds

0

No funding rounds available.

Founders/Team

DW

Dror Weiss

Co-Founder & CEO

EY

Eran Yahav

Co-Founder & CTO

JJ

Jacob Jackson

Original Creator (Acquired)

Direct competitors

No direct competitors available.

Change Log / Major Updates

2024 · Sep 24

Tabnine introduced its first AI agents capable of autonomously generating and validating code directly from Atlassian Jira issues, marking the company's expansion into agentic software development workflows.

2025 · Jan 6

Tabnine was named InfoWorld Technology of the Year 2025 in the Software Development Tools category, its second win in the category (also won in 2023). Recognition cited its Enterprise Context Engine and agentic SDLC capabilities.

2025 · Mar 1

Tabnine launched its Enterprise Context Engine — providing AI agents with org-wide architectural understanding — alongside the Tabnine CLI for terminal-native agentic coding, completing the platform's evolution from IDE autocomplete to full-stack AI development platform.

Compliance, Integrations & Support

Industry: Not specified

Compliances: Not specified

Integrations: VS Code, JetBrains IDEs, Visual Studio 2022, Eclipse, Neovim, GitHub, GitLab, Bitbucket, Perforce Helix Core, Atlassian Jira Cloud, Atlassian Confluence, Anthropic Claude, OpenAI GPT-4o, Mistral Codestral, Cohere Command R, Google Gemini, Meta LLaMA, NVIDIA Nemotron, AWS, Azure, Google Cloud, DigitalOcean, Docker, CI/CD Systems, MCP Protocol

Support:email, help center, enterprise support, priority support

Target audience: Software Developers, Enterprise Engineering Teams, DevOps Engineers, Backend Developers, Frontend Developers, Security-Conscious Teams, Tech Leads, Regulated Industry Teams

Supported languages: English, Python, JavaScript, TypeScript, Java, C++, C#, Go, Ruby, Rust, PHP, Kotlin, Swift, SQL, Bash, Scala, HTML, CSS, Lua, Perl, Haskell, Julia, R, COBOL, SystemVerilog

Tabnine Acquisitions

T(

Tabnine (open-source project by Jacob Jackson)

December 16, 2019

N/A

AD

Reviews & Rating

0 reviews

No reviews yet

Be the first to share how Tabnine performs for your workflow.

0.0

Accuracy

0.0

Ease of Use

0.0

Output Quality

0.0

Security

0.0

More About Tabnine

The Original AI Coding Assistant — Now Built for the Enterprise Era

Before GitHub Copilot existed, before "AI pair programmer" became an industry buzzword, there was Codota — a Tel Aviv startup founded in 2013 by Dror Weiss and Professor Eran Yahav of the Technion, Israel's premier technical university. Their thesis was simple but prescient: software development was drowning in repetition, and machine intelligence could eliminate the toil. It took nearly a decade of academic research and several pivots before the world was ready to listen. When it finally was, Tabnine was already there.

The product most know today as Tabnine was actually born twice: first as an open-source code completion tool created in 2018 by Jacob Jackson, a University of Waterloo student who trained a neural network on GitHub repositories, and then acquired and relaunched by Codota in 2019. Codota rebranded entirely to Tabnine in May 2021, staking its identity on the product that had captured developer imagination worldwide. By April 2022, the platform crossed one million monthly active users — a milestone achieved without the marketing budget of a Microsoft or Amazon.

  • Privacy-first architecture: Tabnine is the only major AI coding assistant offering fully air-gapped, on-premises deployment with zero code retention, zero telemetry, and no silent updates — making it the default choice for regulated industries including finance, healthcare, and defense.
  • Model agnosticism: Rather than locking enterprises into a single LLM, Tabnine supports models from Anthropic, OpenAI, Google, Meta, Mistral, Cohere, and NVIDIA, as well as customer-hosted endpoints — effectively future-proofing its enterprise customers against model obsolescence.
  • Agentic SDLC coverage: The 2024–2025 platform expansion moved Tabnine beyond autocomplete into autonomous agents that plan and execute tasks across the full software development lifecycle: generation, testing, documentation, code review, and deployment integration via MCP.

With over one million monthly active users, 10 million IDE plugin installations across VS Code and JetBrains, recognition as an InfoWorld Technology of the Year winner in both 2023 and 2025, and a $25M Series B closed in November 2023 from Telstra Ventures and Atlassian Ventures, Tabnine has cemented its position as the enterprise-grade alternative in a market increasingly dominated by hyperscaler-backed tools. Its headcount-lean model — around 60 employees serving over a thousand enterprise organizations — speaks to the efficiency of a team that has been building in this space longer than almost anyone else.

Tabnine FAQ's

Does Tabnine store or train on my code?

No. Tabnine has a strict zero code retention policy. Your code is never stored, never used for training, and never shared with third parties. This applies across all deployment options including SaaS, VPC, on-premises, and air-gapped environments.

What deployment options does Tabnine support?

Tabnine supports four deployment modes: SaaS (cloud-hosted), VPC (your own cloud account), on-premises (your own servers), and fully air-gapped (completely isolated, no internet connectivity). This makes it suitable for highly regulated industries such as defense, healthcare, and finance.

Which LLMs can I use with Tabnine?

Tabnine supports models from Anthropic (Claude), OpenAI (GPT-4o and others), Google (Gemini), Meta (LLaMA), Mistral (Codestral), Cohere (Command R), and NVIDIA (Nemotron). Enterprise admins can also connect Tabnine to a private LLM endpoint hosted inside their corporate network.

Which IDEs does Tabnine support?

Tabnine supports VS Code, all JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, GoLand, CLion, Rider, Android Studio, PhpStorm, RubyMine, DataGrip, and more), Visual Studio 2022, Eclipse, and Neovim. Support quality is strongest on VS Code and JetBrains.

Is there still a free plan?

As of 2025, Tabnine no longer offers a permanent free tier. The platform is focused on enterprise and professional teams, with the Code Assistant plan starting at $39 per user per month on annual billing. Time-limited trials are available by contacting sales.