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Relevance AI

Relevance AI is the home of the AI workforce: where anyone can build and recruit teams of AI agents to complete tasks on autopilot. Our no-code platform is built for ops teams, no technical background required. Subject-matter experts can use Relevance to design powerful AI agents and AI teams without relying on developer resources. Scale excellence across every area or team with your intelligent, purpose-built AI workforce.

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Founded

2020

Location

Surry Hills, New South Wales

Employees

112

Funding

$37M

Relevance AI — No‑Code AI Agent Platform for Business Workflows

Relevance AI is a no-code platform to build, govern, and run AI agent teams—an “AI workforce” that automates repetitive, multi‑step business operations across sales, marketing, support, and ops. Teams can design single agents or multi-agent workflows, equip them with tools and data, connect to existing systems, and set approvals and guardrails. Explore the platform on the [homepage](https://relevanceai.com) and dedicated pages for [Agents](https://relevanceai.com/agents), [Integrations](https://relevanceai.com/integrations), and [Pricing](https://relevanceai.com/pricing).

What Relevance AI Does

  • Build visual, no‑code agents and orchestrate them into cross‑tool workflows
  • Leverage 2000+ integrations to operate across your stack
  • Stay model‑agnostic with support for OpenAI, Anthropic, Google Gemini, and more—use your own API keys or Relevance AI vendor credits
  • Accelerate setup with a large template library for common jobs
  • Key Capabilities

  • Visual agent builder with tool steps, data connectors, and multi‑agent orchestration
  • Prebuilt templates for sales, marketing, ops, and support to reduce time‑to‑value
  • Model routing across leading LLMs (OpenAI, Anthropic, Google) to fit use case, cost, and performance
  • 2000+ connectors for CRM, email, web services, and social platforms
  • LinkedIn and Reddit integrations for prospecting, research, and social workflows
  • Governance, Operations, and Cost Controls

  • Approvals, activity visibility, workload controls, and role‑based guardrails
  • Transparent credits model:
  • **Actions Credits** for workflow execution
  • **Vendor Credits** for LLM provider usage
  • See details on [Pricing](https://relevanceai.com/pricing), [Plans docs](https://relevanceai.com/docs/get-started/plans), and [FAQ](https://relevanceai.com/frequently-asked-questions).

    Who It’s For

  • Ops leaders standardizing and scaling recurring processes
  • Sales and marketing teams automating research, enrichment, outreach, and follow‑ups
  • Support and success teams handling routing, knowledge lookup, and response drafting with approvals
  • Agencies/consultants building repeatable client workflows
  • Common Use Cases

  • Sales: lead research, enrichment, personalized outreach, follow‑ups, scheduling
  • Marketing: content production, social posting, competitor research, campaign operations
  • Operations: data collection, approvals, reporting, back‑office workflows
  • Support: triage, knowledge lookup, response drafting with approvals
  • Integrations Snapshot

  • Model providers: OpenAI, Anthropic, Google Gemini
  • Social/data sources: LinkedIn and Reddit with ready‑made connectors
  • Broad SaaS and web connectors enabling end‑to‑end automations across CRM, email, and internal systems
  • Pricing and Trials

  • Free plan and free trial are listed on software directories—confirm latest details on the official [Pricing](https://relevanceai.com/pricing) page.
  • References: [G2 pricing](https://www.g2.com/products/relevance-ai/pricing), [TrustRadius pricing](https://www.trustradius.com/products/relevance-ai/pricing).

  • Cost transparency via split credits: **Actions Credits** (workflow execution) and **Vendor Credits** (LLM spend)
  • What Users Like

  • Easy to get started; approachable interface for non‑technical users
  • Strong with unstructured data; speeds up repetitive work
  • Helpful template library to kick off common flows
  • Solid security posture noted in comparisons
  • Where It May Require More Effort

  • Complex setups can demand more orchestration know‑how
  • Learning curve for advanced automation and tool configuration
  • Occasional bugs and tuning needs reported in roundups and reviews
  • Quick Facts

  • Company: Relevance AI
  • What it does: No‑code platform to build and run AI agent teams for business workflows
  • HQ: Surry Hills, New South Wales, Australia
  • Address: 132 Kippax St, Surry Hills NSW 2010
  • Employee count: ~111; Employees range 51–200
  • LinkedIn followers: ~34.6K
  • Model support: OpenAI, Anthropic, Google, and more (model‑agnostic)
  • Integrations: 2000+ tools and services
  • Credits model: Actions Credits (workflows) + Vendor Credits (LLM costs)
  • Free access: Free plan and free trial (see [Pricing](https://relevanceai.com/pricing) and directories: [G2 pricing](https://www.g2.com/products/relevance-ai/pricing), [TrustRadius](https://www.trustradius.com/products/relevance-ai/pricing))
  • Why Teams Choose Relevance AI

  • Model‑agnostic flexibility to balance cost/performance across providers
  • Deep integration coverage to automate across your existing stack
  • Governance features—approvals, visibility, workload limits—for operational confidence
  • Templates and visual builder that shorten time to production
  • Getting Started

  • Explore the platform and templates on the [homepage](https://relevanceai.com) and [Templates](https://relevanceai.com/templates).
  • Review credits, plans, and governance details on [Pricing](https://relevanceai.com/pricing) and [Plans docs](https://relevanceai.com/docs/get-started/plans).
  • Validate user sentiment via [G2 reviews](https://www.g2.com/products/relevance-ai/reviews) and the [Capterra listing](https://www.capterra.com/p/10019108/Relevance-AI/).
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