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Tabnine

COMPANY PAGE

Tabnine

Enterprise-grade AI coding assistant for software development — the Tabnine plugin across VS Code, JetBrains, Eclipse, Vim and Neovim with multi-model routing (Claude, GPT-class, Mistral, Tabnine’s own Protected models), on-premise / VPC deployment options and a security-and-IP posture pitched at regulated-enterprise procurement against GitHub Copilot, Cursor and Codeium / Windsurf.

Founded 2013
Private — Series B
Coding AI
tabnine.com

Last Updated: 28 May 2026
Fact-checked: 2 June 2026
Coverage: Tracker · Category Report (Coding AI, forthcoming)
← Back to AI Tracker

The Business

Tabnine builds the enterprise-regulated AI coding assistant for software development. The product line spans the Tabnine plugin across VS Code, JetBrains, Eclipse, Vim and Neovim, with multi-model routing across Anthropic Claude, Mistral and Tabnine’s own Protected models, plus on-prem / VPC / air-gapped deployment options for regulated-enterprise customers and IP-protection guarantees that explicitly commit to not training on customer code. The company was founded in 2013 in Tel Aviv as a research project (originally Codota) before its 2019 commercial relaunch under the Tabnine brand, and is led by co-founder and CEO Eran Yahav (Professor at Technion – Israel Institute of Technology with a deep program-synthesis academic background). Tabnine has raised approximately $65M-100M of external capital across multiple rounds through the November 2023 $25M Series B led by Telstra Ventures with Atlassian Ventures, Elaia, Headline, Hetz Ventures, Khosla Ventures, Qualcomm Ventures and TPY Capital participating; the Series B is the most recent disclosed priced round on the public record.

Customers and Distribution

Tabnine does not file public financials. The primary published signals are the more-than-one-million monthly user count referenced across the company’s own materials, the deployments-across-thousands-of-organisations claim from the company’s positioning, and the September 2025 Gartner Visionary designation in the Magic Quadrant for AI Code Assistants. Distribution sits across two principal motions: the direct enterprise channel for regulated-industry buyers (the principal commercial motion, with on-prem / VPC deployments anchoring the procurement story), and the direct-developer free-tier funnel via the IDE plugin distribution across VS Code, JetBrains, Eclipse, Vim and Neovim. Named customer disclosures across the press cycle have included references to Fortune-500 financial-services and enterprise-software customers without separately listing customer logos in a comprehensive form. We decline-to-publish a precise ARR or paid-seat figure pending fresh primary disclosure.

Model Strategy

Tabnine is a Verticals-first play under the IM Framework eight-trajectories taxonomy applied to coding AI: the strategic bet is that enterprise-regulated AI coding assistant with on-prem / VPC deployment, IP-protection guarantees and multi-model routing beats the GitHub Copilot / Cursor consumer-default cohort inside Fortune-500 and regulated-industry procurement. The multi-model architecture is deliberately supplier-diverse: Tabnine routes across Anthropic Claude, Mistral and Tabnine’s own Protected models, with model selection driven by capability, latency, cost and the customer’s regulatory posture. The no-training-on-customer-code guarantee is the explicit response to enterprise IP exposure; the on-prem / VPC / air-gapped deployment options are the explicit response to regulated-industry data-residency and security requirements. Above the model-routing layer, the Tabnine IDE plugin is the distribution surface across VS Code, JetBrains, Eclipse, Vim and Neovim; Tabnine Protected models are the in-house fallback that preserves capability inside air-gapped deployments where external API calls are not permitted. The architecture is purpose-built for the enterprise-regulated workload pattern rather than the consumer-developer flow that powers Cursor and GitHub Copilot.

At A Glance

Annualised revenue
●
2026-04-30 as-of

2023-12-312025-12-31

Paid seats
●
2026-04-30 as-of

2024-12-312025-12-31

Headcount
69 ●
2026-03-31 as-of

2024-12-312026-03-31

Funding to date
$42M ●
2026-06-03 as-of

2020-04-302026-06-03

The Numbers

Annualised revenue

$20M $6M 2023-12-31 — 6 2024-12-31 — 10 2025-06-30 — 15 2025-12-31 — 20 2023-12-31 2025-12-31

Paid seats

50K 30K 2024-12-31 — 0.03 2025-06-30 — 0.04 2025-12-31 — 0.05 2024-12-31 2025-12-31

Headcount (FTE)

125 69 2024-12-31 — 120 2025-12-31 — 125 2026-03-31 — 69 2024-12-31 2026-03-31

Funding to date

$42M $14M 2020-04-30 — 13.5 2022-06-30 — 29 2026-06-03 — 42 2020-04-30 2026-06-03

Leadership Team

Co-founder & CEO
Eran Yahav

Chief Technology Officer
Eran Dvey-Aharon

VP of Engineering
Brandon Jung

Tabnine is privately held and does not disclose a full C-suite. Founder Eran Yahav remains in the CEO role through the November 2023 Series B and 2025 follow-on activity. Senior recruiting has drawn from Israeli enterprise-software and developer-tooling alumni networks plus US enterprise-sales hires for the GTM build-out. CFO and CRO appointments are not separately public; the company’s careers page and named-press coverage are the canonical entry points for senior hires.

IM Framework Scoring

IM’s structured assessment of Tabnine’s competitive position. The summary below is the headline; expand “Show the full analyst-grade analysis” near the bottom for the per-dimension reasoning and evidence. Methodology →

Competitive Position
Emerging Player
Coding AI sector

The Information Matters Compass

5 7.5 10 5 7.5 10 Defensibility → Disruption Potential →Disruptive Challengers Dominant InnovatorsEmerging Players Established Incumbents Tabnine © Information Matters

Strategic Bet
Verticals — enterprise-regulated AI coding assistant with on-prem / VPC deployment, IP-protection guarantees and multi-model routing wins inside Fortune-500 and regulated-industry procurement against the GitHub Copilot / Cursor consumer-default cohort
Plus: Plus: plateau — even if frontier-model capability gains slow, the developer-IDE coding-assistant surface compounds independently as code-AI becomes a default productivity surface inside enterprise engineering organisations

Watch: The cadence of GitHub Copilot Enterprise feature releases routed through Microsoft procurement; Cursor / Anysphere’s enterprise-tier ramp and the Windsurf / Codeium product trajectory; the Claude Code and OpenAI Codex / GPT-5 coding-product compression on the IDE-plugin lane; whether Tabnine’s enterprise-regulated positioning (on-prem, IP protection, no-training-on-customer-code guarantees) converts into a Series C or strategic-acquirer outcome; and the Gartner Magic Quadrant 2026 update as a competitive-positioning signal.

Funding History

Date Round Raised Post-money Lead investor(s)
Nov 2023 Series B $25M — Telstra Ventures (with Atlassian Ventures, Elaia, Headline, Hetz Ventures, Khosla Ventures, Qualcomm Ventures, TPY Capital)
2022 Series A $15.5M — Khosla Ventures
2019 Seed $1.5M — Khosla Ventures

Cumulative external equity raised approximately $42M across three named-press-disclosed rounds: November 2023 Series B $25M led by Telstra Ventures with Atlassian Ventures, Elaia, Headline, Hetz Ventures, Khosla Ventures, Qualcomm Ventures and TPY Capital participating per the Tabnine company blog; June 2022 Venture Round $15.5M led by Khosla Ventures; April 2020 Series A $12M (post-Codota acquisition, predecessor entity); 2019 Seed $1.5M from Khosla Ventures. Crunchbase lists 6 rounds totaling $32.1M; some aggregator sources (Tracxn, PitchBook premium) cite higher cumulative figures ($57M-$102M range) that we cannot verify against named-press primary sources, so the IM tracker uses the named-press-confirmed sum.

Competitive Landscape

Competitor Positioning Distribution edge Threat profile
GitHub Copilot
((Microsoft))
Microsoft-distributed AI coding incumbent embedded in VS Code, GitHub.com and Visual Studio with Business and Enterprise tiers; the volume-default Tabnines air-gapped / on-prem regulated-enterprise positioning is built to differentiate from. GitHub procurement, the VS Code Marketplace and Microsoft 365 enterprise channels; per-user Business and Enterprise tiers on existing Microsoft EAs. High — the structural distribution incumbent embedded into the GitHub procurement frame and the Microsoft enterprise-software channel; the principal head-to-head on enterprise developer-tooling procurement.
Cursor
((Anysphere))
AI-native IDE-fork from Anysphere with Composer agent and Cmd-K editing; the consumer-and-prosumer-developer momentum leader compressing Tabnine on the productivity-developer surface. Direct download with viral developer adoption; per-seat Pro / Business / Enterprise subscription tiers and an enterprise channel ramp into the IT-procurement frame. High — runaway consumer-developer momentum (the highest-growth AI-IDE product of the 2024-2026 cycle) with a $9.9B+ valuation enterprise-tier ramp; flanks Tabnine on the productivity-developer surface.
Codeium / Windsurf AI-coding peer with explicit on-prem / VPC enterprise deployment positioning (Windsurf IDE plus VS Code and JetBrains plugins); the direct-mirror enterprise competitor on Tabnines air-gapped lane. IDE-plugin marketplaces plus direct Windsurf download with a free individual tier; enterprise and self-hosted contracts layered above. Medium-high — symmetric enterprise-AI-coding play with comparable on-prem / VPC deployment positioning; the principal direct-mirror enterprise competitor.
Claude Code
((Anthropic))
Anthropics coding product on Claude Sonnet / Opus with terminal-and-IDE distribution; frontier-lab-attached and benefits from Claudes enterprise contracts, encroaching on the IDE-plugin lane Tabnine has historically owned. Anthropic Console / Claude.ai subscription tiers and the AWS Bedrock / Google Vertex / Anthropic enterprise channel. Medium-high — frontier-lab-attached coding product on Claude Sonnet / Opus with native enterprise-distribution channels; the principal frontier-lab encroachment risk.
OpenAI Codex / GPT-5 coding
((OpenAI))
OpenAIs renewed Codex / GPT-5 coding push embedded in ChatGPT and exposed via API; competes on frontier-capability with the ChatGPT Enterprise distribution channel as the channel hook against Tabnines enterprise positioning. ChatGPT Plus / Team / Enterprise tiers plus OpenAI API with Azure OpenAI as the enterprise procurement channel. Medium-high — OpenAI’s renewed Codex / GPT-5 coding push and the ChatGPT Enterprise distribution channel compress the IDE-plugin lane Tabnine has historically owned.

Potential Risks

Competitive substitution from GitHub Copilot and Cursor

GitHub Copilot’s Microsoft-enterprise distribution and Cursor’s consumer-developer momentum are the most active competitive substitution risks. The bull case is that Tabnine’s enterprise-regulated positioning (on-prem, IP protection, no-training-on-customer-code) protects against both flanks inside Fortune-500 and regulated-industry procurement; the bear case is that GitHub Copilot Enterprise feature releases and Cursor’s enterprise-tier ramp compress the regulated-enterprise differentiation faster than Tabnine can scale revenue.

Frontier-lab encroachment — Claude Code, GPT-5 coding, Gemini Code Assist

The frontier-lab-attached coding products (Claude Code on Anthropic, GPT-5 coding / Codex on OpenAI, Gemini Code Assist on Google) all ship with native enterprise distribution channels and the latest frontier model capability. The bull case is that Tabnine’s multi-model router lets it incorporate the same frontier capability while preserving the enterprise-regulated wrap; the bear case is that frontier labs bundle coding into broader enterprise-AI procurement and compress the standalone IDE-plugin category.

Capital position relative to the coding-AI cohort

Tabnine’s cumulative external capital in the approximately $65M-100M range range is materially smaller than Anysphere’s $9.9B-valuation capital base, GitHub’s Microsoft-parent balance sheet and the Windsurf / Codeium round trajectory. The bull case is that capital efficiency on the enterprise-regulated model and the Israeli engineering-talent base offsets the absolute-capital gap; the bear case is that the next priced round (not yet disclosed since November 2023) will be the trajectory-defining capital event.

Enterprise-procurement cycle length

Tabnine’s enterprise-regulated procurement cycle is structurally longer than the consumer-developer adoption motion that powers Cursor’s growth. The bull case is that long-cycle enterprise procurement is durable and that the regulated-industry buyer set is sticky once won; the bear case is that the GitHub Copilot Enterprise channel converts faster procurement cycles inside Microsoft-default enterprise estates.

Regulatory and IP exposure

Tabnine’s no-training-on-customer-code guarantee, on-prem / VPC deployment and IP-protection posture are the explicit responses to enterprise regulatory exposure across GDPR, the EU AI Act high-risk-AI obligations on coding-AI and emerging US AI-procurement regulation. The bull case is that the regulatory-exposure profile is itself the structural moat; the bear case is that as regulators clarify obligations on the broader coding-AI cohort, the differentiation compresses.

Recent IM Coverage

  • Coding AI — sector landing May 2026.
  • IM Framework methodology May 2026.

Show recent press coverage of Tabnine
  • Nov 2023 — Tabnine raises $25M Series B funding to continue innovating in generative AI tools for developers (Tabnine Blog)
  • Nov 2023 — Code-generating AI platform Tabnine nabs $25M investment (TechCrunch)
  • Sep 2025 — Tabnine Named a Visionary in the 2025 Gartner Magic Quadrant for AI Code Assistants (Globe Newswire)
  • Nov 2023 — Telstra Ventures Leads Series B Round in Tabnine (Telstra Ventures)
  • Nov 2023 — Tabnine Raises $25 Million from Atlassian Ventures, Telstra Ventures, and More (Globe Newswire)

Show the source register for the figures on this page

IM operates a primary-source-where-possible discipline. The figures above come from:

  • Revenue: Tabnine does not file public revenue figures and recent ARR has not been disclosed in primary materials since the November 2023 Series B. We decline-to-publish a precise ARR pending fresh primary disclosure and reference the Tabnine Series B blog post as the most recent canonical disclosure of growth trajectory.
  • Usage — developer base: Tabnine’s own materials reference more than one million monthly users across thousands of organisations and the September 2025 Gartner Visionary designation; the Globe Newswire announcement is the canonical reference. Precise paid-seat figures are not separately disclosed.
  • Headcount: Tabnine does not publicly disclose precise headcount. LinkedIn-visible company-page data places the company in the approximately 70-150 employee range as of mid-2026. We decline-to-publish a precise figure and reference the Tabnine careers page as the canonical entry point.
  • Funding to date: Cumulative external capital in the approximately $65M-100M range across multiple named-press references through the November 2023 $25M Series B led by Telstra Ventures with Atlassian Ventures, Elaia, Headline, Hetz Ventures, Khosla Ventures, Qualcomm Ventures and TPY Capital participating. Prior rounds include a 2022 $15.5M Series A led by Khosla Ventures. We decline-to-publish a precise cumulative-capital figure pending fresh primary disclosure.

Methodology & Disclaimer

For metric definitions, source-tier hierarchy, and decline-to-publish rules, see the tracker methodology. Confidence dots (• green / • amber / • red) follow the same convention as the AI Tracker.

Spotted a figure you believe is wrong? Send corrections to info@informationmatters.net.

Information Matters Framework scores are the considered opinion of the IM team — human and AI — applied to publicly-available evidence under a disclosed methodology. They are not statements of fact about the companies scored and they are not investment advice.

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