Relevance AI

Relevance AI is a no-code platform for building and deploying AI agents and multi-agent teams. Its specialty is multi-agent orchestration — systems where specialized agents (a researcher, a writer, a QA reviewer) collaborate to complete complex workflows that a single agent could not handle reliably.

The company has repositioned toward enterprise buyers under an 'AI Workforce' framing. In September 2026 it announced Invent 2.0, an agent for designing, building, and managing AI agent workforces that maps processes, assembles multi-agent architectures, sets benchmarks, and monitors quality. Its public pricing page now shows only an Enterprise tier with a 'Talk to sales' call to action and no published numbers. Self-serve Pro and Team pricing still appears on the vendor's documentation pages. There is no free plan: the vendor's own docs state the Free plan is retired for both new signups and existing accounts.

The platform includes a visual workflow builder, fine-tuning on company-specific documents, and multi-agent orchestration that handles task delegation, result aggregation, and quality checking automatically. Agents connect to CRM systems, databases, Slack, and email, and the Enterprise tier advertises 2,000+ integrations.

Pricing is split into two components: Actions (what agents do) and Vendor Credits (model costs, passed through at wholesale with no markup). Per the vendor's docs, Pro is $19/month billed annually or $29/month billed monthly, including 2,500 actions and $20 of vendor credits per month. Team is $234/month billed annually or $349/month billed monthly, including 7,000 actions and $70 of vendor credits per month, plus calling agents, meeting agents, and an analytics dashboard. Enterprise is custom, quoted via sales, and adds unlimited agents, users, and projects, 2,000+ integrations, enterprise triggers, agent evaluations, A/B testing, SSO, RBAC, audit logs, and a dedicated account manager.

Limitations: steeper learning curve than simpler tools like Lindy; the Team tier is expensive for small teams; the shift to an Enterprise-only public pricing page makes self-serve buying less transparent; and the two-currency (actions plus credits) pricing model can confuse new users. Best for revenue operations, marketing automation, and support teams — and increasingly enterprise buyers — who need multi-agent workflows handling complex, multi-step business processes.