Relevance AI Review, Pricing & Alternatives (2026)

Relevance AI is a business agent platform made by Relevance AI, also known as OnSearch Pty Ltd, with operations in San Francisco and Sydney. TechCrunch described the company as founded about five years before May 2025, placing its founding around 2020. In May 2025, Relevance AI announced a $24 million Series B led by Bessemer Venture Partners, bringing total funding to $37 million. TechCrunch reported 80 employees across the two offices and 40,000 agents registered in January 2025. The product is designed for businesses rather than casual chatbot use. Its stated audiences include GTM operators, engineers, collaborative teams, and organizations managing company-wide AI workforces. Relevance AI remains active, but its Free plan has been retired for every organization.

The platform brings together Tools, Agents, Knowledge, and Workforce. Tools transform or process inputs, Agents hold conversations and call tools, and Knowledge stores business data in tables for bulk runs across datasets. A typical workflow starts with creating an agent or using Invent to generate one from a text description. The builder can then connect tools, knowledge, integrations, custom API keys, and project data. Workforce provides a visual, no-code canvas for arranging several agents in one process. Agents can run through chat, schedules, application triggers, or programmatic calls. The Relevance API and SDK support external applications. Each tool execution counts as one Action, including a failed tool run, which makes workflow design and usage monitoring important before production deployment.

Relevance AI presents the platform as model-agnostic and lists OpenAI, Anthropic, Cohere, and A21 support in its FAQ. Its security documentation identifies GPT and Claude options and says customers can bring their own API keys. Relevance AI introduced Workforce, a no-code multi-agent builder, and Invent, a text-to-agent generator, in May 2025. The platform also lists chat, calling, and meeting agent modes. Calling and meeting agents are available on Team and Enterprise. The company says it hosts some OpenAI and open source models in its own AWS and Azure environments across regions. It does not identify one underlying model or one fixed context window for the whole platform. Model selection therefore depends on the provider, configuration, and plan.

Current pricing is paid only. Pro costs $29/month with monthly billing or $19/month equivalent with annual billing. It includes 2,500 Actions per month, $20 in monthly Vendor Credits, unlimited agents and tools, unlimited Workforces, two build users, one project, scheduling, chat, smart escalations, premium app triggers, and 90-day task history. Team costs $349/month monthly or $234/month equivalent annually. It includes 7,000 Actions, $70 in monthly Vendor Credits, five build users, 45 end users, five shared projects, calling and meeting agents, A/B testing, analytics, and priority support. Enterprise pricing is Custom. Extra Actions cost $80 per 1,000, while extra Vendor Credits cost $20 per 10,000. Base Actions reset at renewal, while purchased top-ups roll over.

The main limitation is cost accounting: Actions measure tool runs, while Vendor Credits cover model and tool usage, so either allowance can become the constraint. BYOK can bypass Vendor Credit charges for supported providers, but it does not remove Action counting. Enterprise adds SSO, RBAC, audit logs, agent evaluations, work-hour controls, multi-organization management, and custom security terms. Microsoft Copilot Studio is more closely tied to Microsoft business services, while Relevance AI emphasizes multi-agent workflows and provider choice. Retell concentrates on voice agents, while Relevance AI covers broader business processes. SmythOS is another agent workflow option with a different pricing structure. Choose Relevance AI for connected business agents and coordinated workflows, especially when API access, BYOK, and project-level data controls matter.