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Relevance AI

Low-code platform for building AI agents and multi-agent teams that complete tasks on their own, with human approval options

Builder by Relevance AI

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Chalk Labs

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About

Relevance AI is a low-code and no-code platform for building AI agents and multi-agent teams that work through tasks on their own. Agents can be built with a no-code builder or from templates, and human oversight and approval workflows are available. The pricing page lists an Enterprise plan with unlimited agents, tools and users, 2,000+ integrations, agent evaluations and SSO.

Use cases: agent-orchestration, workflow-automation

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Fact sheet

Integrations
2,000+relevanceai.com
Agent features
tools, multi-agent, human-in-the-looprelevanceai.com

Pricing

Contact sales

EnterpriseContact salestalk to sales

As of Oct 24, 2026, from the vendor's pricing page. Prices change; check the vendor before you buy.

Facts extracted by Claude Sonnet 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Relevance AI. Agent Mart. https://agentmart.dev/builders/relevance-ai (last updated 2026-10-24)