Tabnine

Enterprise AI coding assistant purpose-built for organizations with complex codebases, mixed tech stacks, and strict security requirements, supporting on-premise and air-gapped deployment. Enterprise Context Engine provides AI context to any agent or tool across models and IDEs; SOC 2 Type II and ISO 27001; strong in regulated industries; IPO candidate.

Named a Visionary in the 2025 Gartner Magic Quadrant for AI Code Assistants, Tabnine is the reference for enterprise buyers who need private, customizable AI coding behind their firewall.

tabnine.com AI IDEs and Editors

Israelprivate

At a glance

Total raised

$54.5M

last round series b

Headcount

51-200

approximate · public range

Headquarters

Tel Aviv

Israel

Founded

2017

9 years active

Status

Private

AI IDEs and Editors

Subsector

AI IDEs and Editors

For subscribers

Subscribe to see the full profile

Including Funding rounds, Bull / Bear thesis, Stock + earnings, Roster changes, Patents, News, and Open roles.

Founding

50% off

/month

94 of 100 spots left

Full

$10

/month

Available once all 100 Founding Member spots are claimed.

Get full access

Already subscribed? Sign in →

Funding history

Total raised

$54.5M

Rounds tracked

Latest stage

Series B

Date	Stage	Amount	Valuation	Lead investors
Nov 8, 2023	Series B	$25M	—	Telstra Ventures
Jun 15, 2022	Series B	$15.5M	—	Qualcomm Ventures, OurCrowd, Samsung NEXT Ventures
Apr 27, 2020	Series A	$12M	—	e.ventures
Jun 15, 2017	Seed	$2M	—	Khosla Ventures

Founder backgrounds

Dror Weiss

Chief Executive Officer (CEO)

Co-founded Tabnine (originally Codota) in 2013 after spending several years at Panaya, where he joined as a software engineer and rose to Director of Technology, building SaaS products for enterprise customers. Prior to Panaya, he held roles at HPE and Image Design Factory. He holds a B.Sc. in Computer Science from Bar-Ilan University, with additional affiliation with Technion. Before Tabnine, his career was anchored in enterprise software engineering and product management rather than AI research, a background that shaped Tabnine's focus on practical, enterprise-grade code completion for complex, security-conscious environments.

Eran Yahav

Chief Technology Officer (CTO)

An associate professor of computer science at the Technion whose research in program synthesis, analysis, and verification directly informs his work at Tabnine. Prior to founding the company, he was a research staff member at IBM T.J. Watson Research Center (2004–2010). He holds a Ph.D. from Tel Aviv University (2005) and a B.Sc. from the Technion (1996), and is a recipient of the Alon Fellowship for Outstanding Young Researchers. He also served as CTO of Codota, the earlier venture that evolved into Tabnine. Notably, Yahav maintains an active dual role as both a tenured academic and company CTO, a posture that grounds Tabnine’s enterprise AI coding platform in peer-reviewed research rather than pure product velocity.

AI bull / bear

Bull case

The Gartner Visionary designation in the 2025 Magic Quadrant for AI Code Assistants is a genuine signal, not vanity recognition. Tabnine occupies a moat that cloud-native rivals cannot easily cross: on-premise and air-gapped deployment with SOC 2 Type II and ISO 27001 certifications. Regulated buyers — defense contractors, global banks, healthcare systems — face non-negotiable data-residency and audit requirements that eliminate GitHub Copilot and Cursor from consideration. That is a large, sticky addressable market where Tabnine competes against few credible alternatives. The Enterprise Context Engine is an underappreciated strategic asset. By decoupling AI context from any single model or IDE, Tabnine positions itself as the neutral orchestration layer across an organization's entire toolchain. That architecture appeals to CIOs who fear vendor lock-in and want to swap models as capabilities evolve. With $55 million raised and a disciplined capital profile, Tabnine can reach IPO scale without the cash-burn theatrics of less focused competitors.

Bear case

Total funding of $55 million looks dangerously thin in a category where Codeium raised $150 million at a $1.25 billion valuation and Cursor has drawn aggressive venture backing. Tabnine's last raise was November 2023 — the absence of a subsequent round or secondary news in the eighteen months since suggests either modest revenue growth or difficulty commanding a competitive multiple from investors who are flooding capital into rivals. The on-premise moat may shrink faster than bulls expect. GitHub Copilot is already pursuing fedramp and enterprise compliance; Microsoft's balance sheet can fund security certifications until the gap closes. Meanwhile, the "Visionary" quadrant in Gartner's framework is not the "Leaders" quadrant. It often rewards differentiated positioning while flagging gaps in execution or market share. If Tabnine cannot translate its compliance advantage into breakout commercial velocity before cloud-native competitors achieve parity on security, it risks becoming the best-engineered product that never scaled.

Generated by deepseek-v4-pro · May 2, 2026Refreshes quarterly · see disclosures

In the news

Tabnine · last 30 days

No articles ingested yet for Tabnine. Once the hourly news pipeline is live, every article the classifier tags as mentioning this company appears here with its one-line AI summary and sentiment.

Watch

Leadership

Dror Weiss

Chief Executive Officer (CEO)

Eran Yahav

Chief Technology Officer (CTO)

Shane Owenby

Chief Revenue Officer (CRO)

Ory Yassur

Chief Product Officer (CPO)

Products

Tabnine AI Coding Assistant
An AI-powered code completion tool that integrates with 15+ IDEs and supports 30+ programming languages. It provides real-time code suggestions, whole-line and full-function completions, and context-aware recommendations. Unlike generic AI coding tools, Tabnine can be trained on an organization's own codebase to deliver personalized suggestions that match internal coding standards and patterns. It deploys as a local IDE extension with models running on-device or via a secure VPC, giving enterprises control over their code data.
Tabnine Chat
An AI-powered code assistant integrated directly into the IDE that functions like a ChatGPT-for-code. Developers can ask natural-language questions about their codebase, generate documentation, write unit tests, explain complex code segments, and refactor code. Tabnine Chat is grounded in the organization's own repositories, making answers more accurate and relevant than generic chat interfaces. It supports both first-party and third-party LLMs, allowing teams to choose the model that best fits their needs while keeping all interactions within the secure development environment.
Tabnine Enterprise
The enterprise-grade deployment option of Tabnine designed for organizations with strict security, compliance, and governance requirements. It supports flexible deployment across SaaS, VPC, on-premises, and fully air-gapped environments, ensuring no code ever leaves the organization's infrastructure. Tabnine Enterprise integrates with existing tools, languages, and development workflows while enforcing organizational standards. It includes the Enterprise Context Engine that makes enterprise knowledge available to any AI agent or tool across preferred models, IDEs, and deployment environments.
Tabnine Enterprise Context Engine
A standalone product that provides the contextual layer needed to make AI coding reliable, safe, and effective in enterprise environments. It embeds enterprise knowledge—such as internal APIs, libraries, coding conventions, and architecture decisions—into the development workflow, making it available to any AI agent or tool. The Context Engine works across preferred models, IDEs, and deployment environments, ensuring that AI-generated code is grounded in the organization's actual codebase and practices rather than generic internet training data.

Open roles

We don't have a live feed for this company's ATS. Their careers page has every open role.

View all careers ↗