Relevance AI

Name: Relevance AI
Brand: Relevance AI
Rating: 4.3 (21 reviews)

AI Native

Build AI agent teams that deliver human-quality work. No code needed, made for subject-matter experts.

Est 2020|Valuation $77.4M|Raised $37.3M|31 Ref Customers

LinkedIn 42K|Website|Web traffic 255K|FTEs 80|HQ Sydney, New South Wales, AU

MarketsWorkflow Automation Super Agents

01Competitive Landscape

Narrative analysis

Relevance AI vs n8n: Relevance AI focuses on agent-building workflows and templates to reduce initial setup; n8n emphasizes flexible, engineer-friendly workflow automation and self-hosting.
Relevance AI vs Make.com: Make.com provides broader integration coverage and mature automation patterns; Relevance AI differentiates via agent-native constructs (workforces, agent marketplace) and a usage model centered on action units plus model pass-through credits.

Pricing comparison (high-level)

- Relevance AI: entry paid tier at a low monthly price with action limits and separate model credits; top-ups can introduce additional costs. - Make.com: core tier at a low monthly price for an initial credits allocation; module actions consume credits. - n8n: starter plan available at a modest monthly rate (annual pricing lowers effective cost); execution quotas and pricing models differ across vendors. Note: Units (task/action/credit/execution) are defined differently across platforms. Buyers should model representative workflows in each platform to compare total costs.

Market adoption signals

Vendor-reported agent creation metrics and funding indicate momentum but are not direct measures of revenue or retention.
Make.com and Zapier are established incumbents in the automation market; n8n is widely adopted among technical teams, with self-hosting as a differentiator.

	Relevance AI	n8n	Make.com
Starting Price	Free; entry paid tier at a low monthly rate; mid-tier available at a higher monthly band	Low-cost starter plan (annual billing gives a lower effective price)	Free; Core tier available at a low monthly price with an initial credits allocation
Best For	No-/low-code AI agents and multi-agent configurations; agent templates and marketplace	Technical teams needing workflow control, self-hosting, and extensibility	Broad no-code automation with many integrations and emerging AI features
Key Strength	Agent-centric design, templates/marketplace, Python extensibility, mentions of SOC 2 and GDPR in public materials	Flexible workflow orchestration, self-hosting, integrations, engineering friendliness	Large app ecosystem, mature automation UX, predictable credit accounting
Key Weakness	Potential cost scaling/credit consumption; governance/admin feature gaps reported; perceived UI complexity; some integration gaps (e.g., BigQuery)	More DIY; requires more building/testing to produce agent-like behavior	AI agents are a newer addition; platform is automation-first rather than agent-first

01Competitive Landscape

Narrative analysis

Relevance AI vs n8n: Relevance AI focuses on agent-building workflows and templates to reduce initial setup; n8n emphasizes flexible, engineer-friendly workflow automation and self-hosting.
Relevance AI vs Make.com: Make.com provides broader integration coverage and mature automation patterns; Relevance AI differentiates via agent-native constructs (workforces, agent marketplace) and a usage model centered on action units plus model pass-through credits.

Pricing comparison (high-level)

Relevance AI: entry paid tier at a low monthly price with action limits and separate model credits; top-ups can introduce additional costs.
Make.com: core tier at a low monthly price for an initial credits allocation; module actions consume credits.
n8n: starter plan available at a modest monthly rate (annual pricing lowers effective cost); execution quotas and pricing models differ across vendors.

Note: Units (task/action/credit/execution) are defined differently across platforms. Buyers should model representative workflows in each platform to compare total costs.

Market adoption signals

Vendor-reported agent creation metrics and funding indicate momentum but are not direct measures of revenue or retention.
Make.com and Zapier are established incumbents in the automation market; n8n is widely adopted among technical teams, with self-hosting as a differentiator.

	Relevance AI	n8n	Make.com
Starting Price	Free; entry paid tier at a low monthly rate; mid-tier available at a higher monthly band	Low-cost starter plan (annual billing gives a lower effective price)	Free; Core tier available at a low monthly price with an initial credits allocation
Best For	No-/low-code AI agents and multi-agent configurations; agent templates and marketplace	Technical teams needing workflow control, self-hosting, and extensibility	Broad no-code automation with many integrations and emerging AI features
Key Strength	Agent-centric design, templates/marketplace, Python extensibility, mentions of SOC 2 and GDPR in public materials	Flexible workflow orchestration, self-hosting, integrations, engineering friendliness	Large app ecosystem, mature automation UX, predictable credit accounting
Key Weakness	Potential cost scaling/credit consumption; governance/admin feature gaps reported; perceived UI complexity; some integration gaps (e.g., BigQuery)	More DIY; requires more building/testing to produce agent-like behavior	AI agents are a newer addition; platform is automation-first rather than agent-first