Runner

Name: Runner
Brand: Runner

AI Native

Runner is a desktop AI assistant that connects to work applications, synthesizes cross-application context, and executes multi-step workflows with user-controlled permissions and human-in-the-loop approvals.

Est 2026|4 Ref Customers

LinkedIn 131|Website|FTEs 8|HQ San Francisco, California, US

MarketsAI Assistant Super Agents AI Chief of Staff

01Competitive Landscape

Narrative analysis

- Runner is positioned to handle contextual, ad-hoc knowledge work (meeting preparation, drafting, research, and follow-up actions) by synthesizing scattered context and initiating cross-app actions. - Zapier and Make are typically more deterministic for event-driven automations but are less focused on synthesizing narrative context across multiple information sources. - n8n provides control and predictability for engineering-led automation, often at the expense of higher technical and operational overhead for self-hosted deployments. - For procurement: SOC 2 Type 1 plus Type 2 in progress may be sufficient for some mid-market buyers but is likely insufficient for regulated enterprises that require completed Type 2 reports today.

Market share and adoption trends

No reliable public data on Runner's market share or customer counts was identified in the sources reviewed.

	Runner	Zapier	n8n
Starting Price	Published per-seat pricing available from the vendor	Free tier available; paid plans vary (see pricing page)	Cloud plans begin at a low monthly price; self-host option exists (see pricing page)
Primary use case emphasis	Cross-application workflows that incorporate contextual synthesis and agentic actions from desktop and cloud data	Event-triggered, deterministic automations with a broad integration catalog	Flexible automation with developer control and self-hosting options
Key advantage	Ability to combine multi-step workflows with context from multiple applications and local files; enterprise options for VPC/on-prem inference	Mature integration ecosystem and stable trigger-action automation	Extensibility, developer-friendly workflows, and self-host capability
Key limitation	Limited independent reviews in public sources; some compliance items are in progress; per-seat pricing can be significant at scale	May be brittle for nuanced interpretation tasks; cost can grow with scale	Requires technical ownership and operations for self-hosting; cloud tiers vary

01Competitive Landscape

Narrative analysis

Runner is positioned to handle contextual, ad-hoc knowledge work (meeting preparation, drafting, research, and follow-up actions) by synthesizing scattered context and initiating cross-app actions.
Zapier and Make are typically more deterministic for event-driven automations but are less focused on synthesizing narrative context across multiple information sources.
n8n provides control and predictability for engineering-led automation, often at the expense of higher technical and operational overhead for self-hosted deployments.
For procurement: SOC 2 Type 1 plus Type 2 in progress may be sufficient for some mid-market buyers but is likely insufficient for regulated enterprises that require completed Type 2 reports today.

Market share and adoption trends

No reliable public data on Runner's market share or customer counts was identified in the sources reviewed.

	Runner	Zapier	n8n
Starting Price	Published per-seat pricing available from the vendor	Free tier available; paid plans vary (see pricing page)	Cloud plans begin at a low monthly price; self-host option exists (see pricing page)
Primary use case emphasis	Cross-application workflows that incorporate contextual synthesis and agentic actions from desktop and cloud data	Event-triggered, deterministic automations with a broad integration catalog	Flexible automation with developer control and self-hosting options
Key advantage	Ability to combine multi-step workflows with context from multiple applications and local files; enterprise options for VPC/on-prem inference	Mature integration ecosystem and stable trigger-action automation	Extensibility, developer-friendly workflows, and self-host capability
Key limitation	Limited independent reviews in public sources; some compliance items are in progress; per-seat pricing can be significant at scale	May be brittle for nuanced interpretation tasks; cost can grow with scale	Requires technical ownership and operations for self-hosting; cloud tiers vary