Lindy vs Relevance AI
A side-by-side look at Lindy and Relevance AI — pricing, features and where each one wins. Both are reviewed independently on Curata AI.
| Lindy | Relevance AI | |
|---|---|---|
| Summary | AI executive assistant that manages email, meetings, calendars and follow-ups by learning how you communicate. | Enterprise platform for building, orchestrating and governing an 'AI workforce' of autonomous agents across sales, support, marketing and ops. |
| Pricing | Paid | Freemium |
| Category | AI Agents | AI Agents |
| Platforms | Web, API | Web, API |
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Which one should you choose?
Lindy
Best for: Busy professionals and teams who want to delegate inbox, scheduling and meeting admin work to an AI assistant.
Relevance AI
Best for: Sales, CS, marketing and ops teams that want multi-model, governed AI agents rather than a single-LLM chatbot.
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Read the full Lindy review
Lindy is an AI executive assistant that handles email management and drafting, meeting scheduling, meeting notes and recaps, and task/follow-up tracking, communicating with users over SMS/iMessage. It observes how a user writes emails, responds to messages and handles their calendar to match their communication style, and connects to hundreds of tools including Gmail, Outlook, Google Calendar, Slack and Notion, cross-referencing multiple apps without needing explicit commands. Beyond the built-in assistant, Lindy can be used to build custom agents for sales, support, recruiting, operations and healthcare workflows. Plans run Plus at $49.99/month, Pro at $99.99/month (3x usage, computer use, model selection), Max at $199.99/month (7x usage), and a custom Enterprise tier with HIPAA, SSO, SCIM and audit logs. There's no ongoing free tier — only a 7-day free trial with Plus features — and no long-term contract is required.
Read the full Relevance AI review
Relevance AI markets itself as 'the home of the AI Workforce' — a platform for building autonomous AI agents that handle work across sales, customer success, marketing, customer support, operations, HR and research, rather than hiring additional headcount. A no-code/low-code builder creates specialist agents, multi-model routing sends each task to the most cost-effective LLM (Claude, GPT, Gemini and others), and orchestration coordinates multiple agents into a team for complex workflows. Production tooling includes an evaluation framework that samples live runs and tracks pass rates, real-time tracing, audit logs, human-in-the-loop approvals and cost visibility, plus a shared context layer for consistent tone across agents. It connects to 2,000+ integrations including Salesforce, HubSpot, Gmail, Slack, Databricks and Snowflake. A September 2025 pricing overhaul replaced a single credit system with two meters — Actions and Vendor Credits — across a Free plan (200 Actions/month), a paid Pro tier, a paid Team tier and a custom Enterprise tier. Notable customers include Canva, KPMG, Databricks, Autodesk, Confluent and Freshworks.