Docket (software)

Docket
Company type	Private
Industry	Enterprise software, Artificial Intelligence
Founded	2023
Founders	Arjun Pillai, Anoop Thomas Mathew
Products	AI Sales Engineer, AI Seller
Website	docket.io

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.

Overview

Docket was founded in 2023 by

Arjun Pillai, former Chief Data Officer at ZoomInfo
Anoop Thomas Mathew, former Director of Engineering at FullContact

. 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.

History

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]

Technology

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.

Adoption

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.