Relevance AI

About Relevance AI

Financials

Dated, source-cited figures. Estimates are marked.

Products by Relevance AI

All products by Relevance AI reviewed by our AI panel of experts.

Relevance AIAI Agents & Assistants

No-code AI platform for building and deploying custom AI workflows and agents

Pricing on request7.2/10

How Our Review Panel Scores Relevance AI

Six independent reviewer personalities assessed Relevance AI's product on their own terms. They landed within 0.9 points of each other, an unusually strong consensus.

Averaged across 1 reviewed product in our catalog. Scores are out of 10.

Competitive Landscape

Who Relevance AI competes with, and how they differ.

Lindy7.3/10

Lindy also lets non-technical users build AI agents from templates, but leans toward individual and SMB personal-assistant use cases (inbox, calendar, scheduling) versus Relevance AI's focus on enterprise GTM workflows (sales, marketing, customer success) with SOC 2 Type II compliance for larger buyers.

1 product reviewed on TopReviewed

CrewAI7.7/10

CrewAI is an open-source Python framework for orchestrating multi-agent systems that requires engineering effort to configure, while Relevance AI targets non-technical domain experts through a no-code visual canvas (Workforce/Invent).

1 product reviewed on TopReviewed

Botpress7.9/10

Botpress centers on designing conversational chatbots and support-flow agents with a visual flow builder, whereas Relevance AI's agents span broader GTM tasks beyond chat, such as outbound research and sales workflows.

1 product reviewed on TopReviewed

Kore.ai7.7/10

Kore.ai sells its conversational AI/agent platform mainly to large enterprises with dedicated compliance and integration teams at a higher price point, while Relevance AI has emphasized faster self-serve onboarding for scale-ups growing into enterprise accounts.

1 product reviewed on TopReviewed

Zapier7.6/10

Zapier layered AI agent-building (Zapier Agents/Central) on top of its existing workflow-automation platform and thousands of app integrations, competing on integration breadth and existing distribution rather than an agent-first product design.

1 product reviewed on TopReviewed

Company Timeline

Key milestones in Relevance AI's history, with sources.

1. May 6, 2025Funding

   Series B — $24M led by Bessemer Venture Partners

   Relevance AI raised $24 million in Series B funding led by Bessemer Venture Partners, with returning investors King River Capital, Insight Partners and Peak XV participating; press coverage put the company's total funding raised to date at $37 million. The round coincided with the launch of two features, Workforce and Invent, for building multi-agent systems.

   techcrunch.com
2. December 2023Funding

   Series A — US$10M (A$15M) led by King River Capital

   Relevance AI raised a Series A round led by King River Capital, with participation from Peak XV Partners (formerly Sequoia India & SEA), Insight Partners and Galileo Ventures, roughly two years after its seed round.

   galileo.ventures
3. Dec 14, 2021Funding

   Seed round — $3M led by Insight Partners

   Relevance AI raised a $3 million seed round led by Insight Partners, with participation from Galileo Ventures and Archangel Ventures, while the company was still building a developer-first vector-search platform for unstructured data.

   prnewswire.com
4. 2020Founded

   Founded in Sydney, Australia by Daniel Vassilev, Jacky Koh and Daniel Palmer

   Co-founders Daniel Vassilev, Jacky Koh and Daniel Palmer started the company in Sydney, later expanding to a second office in San Francisco.

   itnews.com.au