Draft:Docket (software)

This is a draft article. It is a work in progress open to editing by anyone. Please ensure core content policies are met before publishing it as a live Wikipedia article. Find sources: Google (books · news · scholar · free images · WP refs) · FENS · JSTOR · TWL Easy tools: Citation bot (help) | Advanced: Fix bare URLs · Article logs · Draft logs. Last edited by OpalYosutebito (talk | contribs) 3 months ago. (Update) Finished drafting? Submit for review

This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages) The topic of this draft may not meet Wikipedia's notability guidelines for companies and organizations. Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. Notability should be established before publishing this draft or submitting it via the articles for creation process. Find sources: "Docket" software – news · newspapers · books · scholar · JSTOR (August 2025) (Learn how and when to remove this message) This article contains promotional content. Please help improve it by removing promotional language and inappropriate external links, and by adding encyclopedic text written from a neutral point of view. See our advice if the article is about you and read our scam warning in case someone asks for money to edit this article. (August 2025) (Learn how and when to remove this message) (Learn how and when to remove this message)

Docket (formerly known as DocketAI) is a U.S.-based enterprise software company that provides an AI-powered revenue platform designed to assist sales teams with real-time technical support, automated documentation, and buyer engagement. The company leverages generative AI to function as a virtual sales engineer, aiming to enhance sales productivity and scale.

Docket was founded in 2023 by

. The company offers two primary AI agents:

• The AI Sales Engineer, which delivers verified, real-time answers to sales and technical questions and automates RFPs and sales documentation.
• The AI Seller, which engages website visitors through conversational interfaces, providing product education and pipeline conversion.

At the core of Docket’s architecture is the proprietary Sales Knowledge Lake™, a knowledge system that unifies structured and unstructured sales data from platforms such as Slack, Salesforce, Gong, and Notion.

Docket was created in response to increasing complexity in B2B sales and the shortage of scalable technical sales support. In 2024, the company raised US$15 million in Series A funding led by Mayfield and Foundation Capital, bringing total funding to US$20.3 million.^[1]

The platform supports sub-3-second answer latency, over 95% accuracy, and a hallucination rate below 2.7%. Docket’s AI continuously learns from top-performing sales engineers and account executives, applying their patterns to real-time responses.

The system is compliant with SOC 2 Type 2, ISO/IEC 27001, and GDPR, ensuring enterprise-grade data security and privacy.

As of 2025, Docket has been adopted by companies such as ZoomInfo, Demandbase, and Whatfix. A customer case study reported a 12% increase in win rates and an 83% reduction in operational overhead after implementation.

In January 2025, Docket announced record growth, new marquee customers, and product innovations, marking a strong start to the year.^[2]

• Sales enablement
• Revenue intelligence
• Conversational AI
• Request for Proposal

Look up docket in Wiktionary, the free dictionary.

• Official website
• DocketAI Series A Funding News – The SaaS News
• DocketAI 2025 Growth Announcement – PR Newswire