Tabnine
Suggests whole lines or functions as developers write code in their editor.
Tabnine, Inc. Funding History
Tabnine develops an AI coding assistant for enterprise software teams. It offers private deployment options, including self-hosting in air-gapped environments.
Company Overview
Tabnine, Inc.
Tabnine, Inc. Funding Timeline
Series B
US$25 million
Tabnine planned to expand its enterprise coding assistant and grow its sales and support teams.
Led by Titanium Ventures.
Source · en.wikipedia.org ↗Series a Extension
US$15.5 million
At the time of the financing, Tabnine’s coding assistant could run on a developer’s own machine, in Tabnine’s cloud or on a self-hosted installation.
Led by Qualcomm Ventures. Participation included Khosla Ventures, Hetz Ventures, TPY Capital.
Source · blog.ourcrowd.com ↗Seed
US$2 million
Then called Codota, the company raised seed funding for an autocomplete tool that initially supported Java.
Led by Khosla Ventures.
Source · techcrunch.com ↗
Tabnine, Inc. Founding Team
Dror Weiss worked in software engineering and technology leadership at Panaya before starting the company that became Tabnine. He and Eran Yahav built on the original Codota work in code assistance, using the context of a developer’s project to make suggestions more relevant.
Tabnine, Inc. Products
Tabnine, Inc. Company Development
Bringing Coding Assistance into Restricted Networks
Tabnine made private deployment part of its enterprise offering, including environments isolated from the public internet. In that setting, adopting an assistant depends on how it is installed and what code leaves the network.
Tabnine, Inc. Competitive Landscape
Deploying the Assistant and Finding Its Context
Tabnine's air-gapped option is relevant when network policy constrains where an assistant runs. Sourcegraph's coding products grew out of code search across repositories. For enterprise teams, deployment location and the scope of repository context are distinct evaluation criteria.
