For sales teams and agencies at small and fast-growing companies, Folk is a CRM that pulls contacts from LinkedIn, Gmail, and 30+ tools into one database, using AI assistants to research leads and draft follow-ups automatically.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Folk is positioning itself as an AI CRM for the full sales motion, centered on a shared relationship database rather than a heavyweight sales suite. Its footprint is early but rising, with practitioner workflows using it as a flexible system of record for agencies, prospecting, relationship management, and founder-led pipelines. Conversation often focuses on contact enrichment, lead scoring, automatic record updates, and CRM context available to agent workflows. Folk also appears in GTM stacks where teams pull contacts from email and other tools, then use the CRM to organize outreach and follow-up.
Cal.com
Reachdesk
Saleshandy
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MixmaxAlma, Mantu, Poppins, Spore Bio, Pareto, Palona, Beanstalk, Marble
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Business Profile
Founded in 2020, Folk is an independent CRM company with 55 employees in the current record. The company has raised $37 million and reported $8.3 million in ARR in 2024. Its public product narrative centers on organizing people, companies, and deals across the sales motion, with AI assistants for enrichment, research, lead scoring, and follow-up work. Recent company activity includes mobile access, European data hosting, and technical-account support for larger customer implementations.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Folk publishes an API and an MCP surface that lets agents work with CRM records. Its public examples show agents researching a company, checking for an existing record, creating the company, assigning it to a group, and saving research as a note. The company has also framed MCP as a way to turn existing relationship context into team insight.
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