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For B2B marketing and demand-gen leaders, Docket is an AI demand agent that holds real conversations with every website visitor by voice or text, remembers context across sessions, qualifies intent, and syncs booked meetings straight into the CRM.

Presence & Market Position

32
SOV ScoreSOV Score — earned, engagement-weighted share of voice across Adam's curated panel of GTM voices, scored against the market. Earned only: a brand's own posts do not count. Not a quality rating, endorsement, or paid placement.

#18 of 81
AI-Native GTM Challengers

▲ 47 60-day move

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Docket is positioning itself as an inbound demand platform built around persistent buyer context, where agents conduct website conversations by voice or text, qualify intent, and carry the resulting context into CRM. Its presence is rising around the move from website engagement metrics toward the questions buyers ask, with Demand MCP giving those conversations a callable surface. Practitioner coverage also centers on voice-versus-text engagement, buyer handoff, and the company’s AQL framing of qualified demand. Recent launch coverage has kept the conversation close to website workflows and how marketing teams turn buyer signals into meetings.

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Business Profile

Docket launched in 2023 as an AI sales engineer, an internal tool built on a Sales Knowledge Lake that answered technical and RFP questions so reps didn't need to loop in a subject-matter expert. Founder Arjun Pillai previously sold Insent to ZoomInfo, where he served as Chief Data Officer. The product has since moved outward, from rep enablement toward direct buyer engagement, culminating in Frameless, an on-page agent launched in August 2026. Independent, with $20.4M in disclosed funding, a $25.2M last reported valuation, roughly $8.4M in 2025 ARR, and a team of 52.

Founded
2023
Employees
52
Funding
$20.4M
ARR
~$8.4M (2025)
Valuation
$25.2M (bootstrapped)
Status
Independent
Scale stage
Growth
Type
Agent-Native GTM
GTM categories
Website & Inbound
Key people

Agent Readiness

12F
Agent ReadinessAgent Readiness — how easily an AI agent can build on this product: documented API, MCP server, CLI and SDK surfaces plus the depth of the docs behind them. Scored 0-100 and graded A-F.
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Docket's agent build-out runs through its own MCP server: a ChatGPT app built on MCP shipped in February 2026, followed by Demand MCP reaching general availability in August 2026, which makes the record of what site visitors asked queryable by outside AI assistants rather than only visible in a dashboard. The arc moves from an agent that talks to visitors toward a data surface other agents can query directly.