Tabnine logo
FreemiumBy Tabnine Inc. (formerly Codota)

Tabnine

Tabnine is the originator of AI code assistants (2018). Offers code completion, chat, and AI agents for the entire SDLC. Privacy-first with SaaS, VPC, on-prem, or air-gapped deployment. 1M+ developers, 80+ languages. Founded 2013 in Tel Aviv. $55M funding.

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Description

Tabnine

What is Tabnine?

Tabnine is an AI-powered code assistant that accelerates and simplifies the software development process while keeping code private and secure. It's recognized as the originator of the AI code assistant category, launching its first AI in 2018.
The company was originally founded as Codota in 2013 by Dror Weiss (CEO) and Prof. Eran Yahav (CTO) in Tel Aviv, Israel. In 2019 they acquired the Tabnine product created by Jacob Jackson (University of Waterloo student) and in May 2021 the company was rebranded to Tabnine.
Tabnine is used by over 1 million developers with 10 million installations across VS Code and JetBrains. Unlike other code assistants, Tabnine offers complete control over privacy, customizable models, and on-premises or air-gapped deployment.

Company and History

DataInformation
Original NameCodota
Founded2013 (as Codota)
RebrandingMay 2021 (to Tabnine)
HeadquartersTel Aviv, Israel
FoundersDror Weiss (CEO), Eran Yahav (CTO)
CEODror Weiss
CTOProf. Eran Yahav
Executive ChairmanGus Robertson (ex-CEO NGINX)
Total Funding$55M
2022 Revenue$5.8M
Developers1+ million
Installations10+ million
Enterprise Customers10,000+
Employees~74-150
Founding Story:
  • 2013: Founded as Codota by Dror Weiss and Eran Yahav in Tel Aviv, based on over a decade of academic research at Technion (Israel Institute of Technology)
  • Eran Yahav: Professor at Technion, formerly at IBM Research
  • Dror Weiss: Technion Computer Science graduate
  • 2017: $2M seed funding
  • 2018: Jacob Jackson creates Tabnine product at University of Waterloo using new large language models
  • 2019: Codota acquires Tabnine and combines both models
  • Apr 2020: $12M Series A
  • May 2021: Rebranding from Codota to Tabnine after launching first LLM-based AI coding assistant
  • Apr 2022: 1+ million users
  • Jun 2022: $15.5M funding (Qualcomm, Samsung NEXT, OurCrowd)
  • Jun 2023: Launch of AI Chat agent
  • Nov 2023: $25M Series B (Telstra Ventures)
  • Sep 2024: Jira Implementation Agent and Validation Agent
  • Oct 2024: Code Review Agent
  • Nov 2024: Upgrades to free plan with Claude 3.5 Sonnet
  • Apr 2025: Basic plan sunset (free tier)
  • Nov 2025: Tabnine Agents (Org-Native AI for Enterprise)
Funding:
RoundDateAmountLead Investor
SeedJun 2017$2M-
Series AApr 2020$12M-
FundingJun 2022$15.5MQualcomm Ventures, Samsung NEXT
Series BNov 2023$25MTelstra Ventures
Total-$55M-
Notable Investors:
  • Khosla Ventures
  • Headline (formerly e.ventures)
  • Telstra Ventures
  • Atlassian Ventures
  • Qualcomm Ventures
  • Samsung NEXT Ventures
  • OurCrowd
  • TPY Capital
  • Elaia
  • Hetz Ventures
Recognition:
  • Gartner 2024: Top-ranked in all 5 categories of AI Code Assistant Critical Capabilities Report
  • InfoWorld 2025: Technology of the Year
  • AI TechAwards 2025: Best Innovation in AI Coding (Code Review Agent)
  • Omdia 2025: Leader in Universe for no/low-pro coding assistants
  • Gartner Magic Quadrant 2025: Visionary in AI Coding Assistants

Products and Features

Code Completion

Intelligent code autocompletion:
  • Whole-line completions: Complete lines of code
  • Full-function completions: Entire functions
  • Natural language to code: Code from comments
  • Context-aware suggestions: Based on local context
  • Real-time completions on every keystroke
  • Learning patterns from codebase

Tabnine Chat

AI chat assistant in the IDE:
  • Code generation from natural language
  • Legacy code explanation
  • Documentation generation
  • Test creation
  • Fix proposals
  • Q&A about the codebase

Enterprise Context Engine

What makes Tabnine "enterprise-ready":
  • Learns unique architecture, frameworks, and standards
  • Adapts to mixed stacks and legacy systems
  • Aligns with security and compliance requirements
  • Enterprise knowledge embedded in coding experience

AI Agents

Jira Implementation Agent (Sep 2024)

  • One-click code generation from Jira issues
  • Generates code from requirements in stories, bugs, tasks
  • First AI code assistant with full Jira integration
  • Uses context from title, description, and local code

Jira Validation Agent (Sep 2024)

  • Validates code against Jira issue requirements
  • Instant feedback if specs aren't met
  • Works with human or AI-generated code

Code Review Agent (Oct 2024)

  • First personalized AI code review in the industry
  • Custom rules in plain language
  • Predefined rules for industry standards
  • Enforces team best practices and patterns
  • Reviews PRs against established rules

Testing Agent

  • Generates comprehensive test plans
  • Identifies gaps in test coverage
  • Updates tests for code changes
  • Test cases with clear descriptions

Onboarding Agent

  • Helps new developers understand projects
  • Accelerates ramp-up on new codebases
  • Explains structures and dependencies

Documentation Agent

  • Generates automatic documentation
  • Context-sensitive documentation

Code Fix Agent

  • Proposes fixes for bugs and errors

Code Explain Agent

  • Explains complex and legacy code

Personalization (RAG)

Tabnine offers 4 levels of personalization:
Level 1 - Local Context Awareness:
  • 14 data sources from IDE
  • Variables, types, classes
  • Chat history, cursor, highlights
  • Open files, dependencies
  • Imported packages, libraries
  • 40% increase in code acceptance rates
Level 2 - Global Code Awareness:
  • Repository connection (GitHub, GitLab, Bitbucket, Perforce P4)
  • Semantic and graph-based indexing
  • Maps relationships between services, functions, files
Level 3 - Non-Code Data Source Awareness:
  • Jira/Confluence integration
  • Context from tickets and documentation
Level 4 - Custom Model Training:
  • Fine-tuning on proprietary code
  • Private models trained on internal repositories

Model Flexibility

Tabnine allows switching AI models:
  • Tabnine Models: Private proprietary models
  • GPT-3.5 Turbo
  • GPT-4o Turbo
  • Claude 3.5 Sonnet
  • GCP Vertex AI (Claude series)
  • Open source models
  • Organization's internal models

Code Provenance (Dec 2024)

  • Determines code origins
  • Protection against license risks
  • Flags code without permissive license

Deployment and Security

Deployment Options

Tabnine is the only AI code assistant with full flexibility:
OptionDescription
Secure SaaSTabnine cloud
VPCPrivate AWS, GCP, or Azure
On-PremisesYour own servers
Air-GappedCompletely isolated

Privacy and Security

  • Zero Data Retention: Doesn't store or train on user code
  • Code Never Leaves: In on-premises deployment
  • No Code Sharing: Never shares code
  • Opt-in Required: For team model training
  • Permissive Licenses Only: Models trained only on open source code with permissive licenses (MIT, Apache-2.0, BSD, etc.)

Compliance

  • SOC 2 Type II
  • GDPR
  • ISO 27001
  • HIPAA (Enterprise)
  • SCIM/IdP Sync
  • SSO/SAML

Supported IDEs and Languages

Supported IDEs

IDEMin VersionMax Version
VS Code1.851.106
JetBrains IDEs2023.22025.2
Eclipse4.28 (2023-06)4.37 (2025-09)
Visual Studio 2022
Vim/Neovim
Emacs
Sublime Text
Atom (legacy)
JetBrains IDEs includes:
  • IntelliJ IDEA
  • PyCharm
  • WebStorm
  • PHPStorm
  • Android Studio
  • CLion
  • GoLand
  • Rider
  • RubyMine
  • DataGrip

Supported Languages

80+ languages including:
  • Python
  • JavaScript
  • TypeScript
  • Java
  • Go
  • C/C++
  • C#
  • PHP
  • Rust
  • Ruby
  • Kotlin
  • Swift
  • Dart
  • Scala
  • SQL
  • Bash
  • HTML/CSS
  • Julia
  • Lua
  • OCaml
  • Perl
  • Haskell
  • React/JSX

Integrations

Version Control

  • GitHub
  • GitLab
  • Bitbucket
  • Perforce P4 (Helix Core)

Project Management

  • Atlassian Jira (Cloud and Data Center)
  • Confluence

Cloud Providers

  • AWS
  • GCP
  • Azure

Pricing and Plans

Pricing Evolution

Note: In April 2025, Tabnine discontinued the Basic plan (free), moving to paid plans with limited trials.

Dev Plan (formerly Pro)

FeatureValue
Price$9/user/month
Trial14 days free
Max users100
Code CompletionsWhole-line, full-function
Natural Language to Code
Tabnine Chat
Basic AI Agents
Local Context
SupportStandard

Enterprise Plan

FeatureValue
Price$39/user/month
UsersUnlimited
Private DeploymentSaaS, VPC, On-prem, Air-gapped
Custom AI ModelsTrained on your code
Codebase ConnectionUnlimited (GitHub, GitLab, Bitbucket, P4)
Jira IntegrationCloud and Data Center
Code Review Agent
Testing Agent
Enterprise Search
Model FlexibilityAll models
SSO/SAML
SCIM Provisioning
Admin Console
Usage Reports
SOC 2, HIPAA
SupportPremium
Success ManagerDedicated

Add-ons

  • Token consumption quota (for Tabnine LLM access): provider price + 5% handling fee

Impact Metrics

  • 50% of code and artifacts automated
  • 20% reduction in coding time
  • 90% of basic programming tasks automated
  • 40% increase in code acceptance with local context
  • 82% boost in code consumption with Enterprise Context Engine
  • 2x faster in development and QA cycles

Competition

CompetitorTabnine Differentiator
GitHub CopilotTabnine: total privacy, on-prem, IP-safe
Amazon CodeWhispererTabnine: more IDEs, model flexibility
CursorTabnine: enterprise-ready, zero data retention
Cody (Sourcegraph)Tabnine: AI agents for complete SDLC
Kite (closed 2022)Tabnine survived and grew

Competitive Advantages

  1. Category originator (2018)
  2. Privacy-first: Zero data retention
  3. Deployment flexibility: SaaS, VPC, on-prem, air-gapped
  4. IP-safe: Only permissively licensed code
  5. Model flexibility: Switch models in real-time
  6. Enterprise Context Engine: Deep personalization
  7. AI Agents: For entire SDLC
  8. Jira Integration: First to market

Notable Customers

  • Accenture
  • LG
  • Samsung
  • Fortune 500 teams
  • Fintech, healthcare, SaaS companies

Technical Details

Architecture

  • Language-specialized "code-native" models
  • Can run on developer's laptop
  • Or on server behind firewall
  • Or in the cloud

Training Data

  • Only open source code with permissive licenses
  • MIT, MIT-0, Apache-2.0
  • BSD-2-Clause, BSD-3-Clause
  • Unlicense, CC0-1.0
  • CC-BY-3.0, CC-BY-4.0
  • RSA-MD, 0BSD, WTFPL, ISC

Roadmap and Future

  • Google Vertex AI integration
  • Real-time multi-agent code suggestions
  • AI-powered security scanning
  • Expanded project context and memory in chat
  • More agents for complete SDLC
  • Continued enterprise-first innovation

Restructuring Notes

In February 2025, Tabnine reduced 18% of its workforce as part of a restructuring effort to improve focus and efficiency, following significant growth in the enterprise customer segment during 2024.

Key Features

Whole-line and full-function code completion

Tabnine Chat for Q&A and code generation

Enterprise Context Engine for deep personalization

Jira Implementation Agent - generates code from issues

Jira Validation Agent - validates code vs requirements

Code Review Agent - team-personalized review

Testing Agent - generates test plans and test cases

Onboarding Agent - accelerates new dev ramp-up

Model flexibility: GPT-4o, Claude 3.5, custom models

RAG with 4 levels of personalization

Flexible deployment: SaaS, VPC, on-prem, air-gapped

Zero data retention - code never stored

Support for 80+ programming languages

Integration with VS Code, JetBrains, Eclipse, Visual Studio

Connection to GitHub, GitLab, Bitbucket, Perforce P4

IP-safe: only permissively licensed code

Code Provenance - detects code origins

SSO/SAML and SCIM provisioning for enterprise

SOC 2, GDPR, ISO 27001, HIPAA compliance

Admin console and usage reports

Use Cases

Real-time intelligent code autocompletion

Code generation from natural language

Legacy and complex code explanation

Automatic documentation generation

Unit tests and test plan creation

Automated code review with custom rules

One-click Jira issue implementation

Code validation against ticket requirements

Accelerated onboarding of new developers

Refactoring and improvement of existing code

Bug detection and fix proposals

Enterprise development with maximum privacy

Development in secure air-gapped environments

Team coding pattern standardization

Multi-language development in complex projects

Integration with Jira/Confluence workflows

Compliance in regulated industries (finance, healthcare)

Reduced time on repetitive coding tasks

AI pair programming as assistant

Custom model training on internal code

Information

Company

Tabnine Inc. (formerly Codota)

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