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TabNine

AI · Tel Aviv-Yafo, Israel · Founded 2013

Tabnine provides an AI-powered code completion tool designed to accelerate and simplify the software development process for developers and enterprise teams. The company was originally founded as Codota in 2013 in Tel Aviv, Israel, by Dror Weiss and Professor Eran Yahav. Weiss, the CEO, previously held technology leadership roles at Panaya, while Yahav, the CTO, is a professor at the Technion – Israel Institute of Technology and a former researcher at IBM. The company's journey involved a key strategic acquisition in 2019, when it purchased TabNine, a code completion tool created in 2018 by Jacob Jackson, a student at the University of Waterloo. This acquisition integrated TabNine's textual, large-language model approach with Codota's semantic, meaning-based analysis. In May 2021, the merged entity officially rebranded as Tabnine. The platform has since attracted over a million active developers and has received significant venture capital, including a $25 million Series B round in November 2023. Tabnine operates on a freemium business model, offering tiered plans for individuals and enterprises. Its core service is an AI assistant that integrates into popular IDEs like VS Code, JetBrains, and Visual Studio, providing real-time, context-aware code completions that range from single lines to entire functions. For enterprise clients, Tabnine offers private and on-premises deployment options, including air-gapped environments, to ensure code privacy and security. These enterprise solutions can be trained on a company's internal codebases to provide personalized and context-specific suggestions, enforcing consistent coding standards. A distinguishing feature is its commitment to training its public models exclusively on open-source code with permissive licenses, mitigating intellectual property and legal risks for its users. Keywords: AI code assistant, code completion, software development tools, developer productivity, generative AI, enterprise software, code privacy, IDE plugin, secure coding, code generation, natural language to code, automated code review, machine learning, programming tools, developer tools, SDLC automation, SOC 2 compliance, code refactoring, code explanation, enterprise AI

Valuation
$100–500M
Latest valuation · 2023
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Headcount
<100
Current team size
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Total funding Pre-IPO
$50–100M
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Investors

10 investors on TabNine's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 1 investor entered at this stage
Bob Pasker
Series A 9 investors entered at this stage
Khosla Ventures
TPY Capital
Qualcomm Ventures
OurCrowd
Samsung Next
Titanium Ventures
Hetz Ventures
Atlassian Ventures
Elaia

Global footprint

Where TabNine has talent and traffic

Workforce by country
10 countries with
team presence
🇮🇱 Israel60.3%
🇺🇸 United States15.5%
🇬🇧 United Kingdom6.9%
🇩🇪 Germany5.2%
🇮🇪 Ireland3.5%
Top 5 of 10 shown

Talent graph

The shape of TabNine's talent

Dealroom maps TabNine's team person by person — pinpointing the standout operators and scoring them across the six dimensions investors underwrite. The counts and shape below are a public preview; the named individuals and exact scores live in the platform.

23 team members profilednamed & role-tagged by Dealroom
67 employeestotal headcount
2 executives & foundersidentified by name
DimensionScore
AI Talent Score hidden — book a demo
Engineering Score hidden — book a demo
Product Score hidden — book a demo
Go-to-market Score hidden — book a demo
Leadership Score hidden — book a demo
Research Score hidden — book a demo
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Source: Dealroom Talent Intelligence. Public profiles show counts and the team's shape only — request a demo for the named individuals, per-person seniority and tenure, and team benchmarks vs peers.

Market sentiment

What the market is saying about TabNine

An AI-synthesized read of the highest-engagement posts about TabNine on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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