Sistava vs Relevance AI
AI Workforces
Sistava vs Relevance AI
Relevance AI is our closest competitor, positioning as an "AI Workforce" platform with a low-code builder for creating AI agents. They primarily target sales and GTM teams, with a broad connector library, MCP in both directions, and enterprise logos like Canva and KPMG. Sistava differentiates with pre-built teams that work out of the box and a conversation-first experience instead of a visual builder.
Profile
- Pricing
- Four tiers. Free $0 (200 Actions/month, $2 one-time vendor credits, 1 user, 1 project, unlimited agents and tools). Pro $29/mo billed monthly or $19/mo billed annually. Team $349/mo billed monthly or $234/mo billed annually. Enterprise custom. Dual meter of Actions plus Vendor Credits.
- Founded
- 2020, Sydney
- Funding
- $37M+ total raised ($24M Series B led by Bessemer Venture Partners)
- Focus
- No-code AI workforce builder for sales and GTM teams
Why Sistava
- Sistava ships pre-built teams with a leader who delegates to specialists and reviews what comes back. Relevance has Workforces as a first-class object, included even on the Free plan, so multiple agents genuinely coordinate; you assemble that structure yourself rather than hiring into one that already exists.
- Onboarding in Sistava is conversational. You talk to your employee to set them up. Relevance uses a visual builder that requires understanding agent design.
- Sistava treats AI employees like real staff: they work a shared task board, run sprints toward a goal you agree with them, and keep a work journal. Relevance coordinates agents inside a Workforce run, but the unit of work stays the workflow rather than a role with a history.
- Sistava layers short-term, long-term, episodic, and graph memory across the workforce, so an employee remembers what happened on a call three weeks ago without re-explaining. Relevance documents Long-Term Memory that persists across conversations and Short-Term Memory shared between agents in a Workforce run; the difference is depth of recall rather than whether memory survives the session.
- Both platforms speak MCP. Relevance is an MCP client that can call any remote MCP server over Streamable HTTP, and Relevance itself is callable as an MCP server from Claude Desktop, Cursor, VS Code, and ChatGPT. Sistava adds one-click OAuth for the common apps so most connections need no protocol work at all.
Feature Comparison
| Feature | Relevance AI | Sistava |
|---|---|---|
| ✓ | ✓ | |
| Workforces you assemble yourself | ✓ | |
| Workforces coordinate agents, no leader that reviews | ✓ | |
| ✗ | ✓ | |
| ✗ | ✓ | |
| Sales + GTM focus | Sales, Marketing, Support, Ops | |
| Broad connector library, custom tools, MCP | Thousands of native + MCP | |
| Long-Term Memory across conversations, shared short-term in a Workforce | Layered short-term, long-term, graph | |
| ✗ | ✓ | |
| ✗ | ✓ | |
| Yes, as client and as server | ✓ | |
| ✗ | ✓ | |
| ✗ | ✓ | |
| Free, Pro $29/mo monthly or $19/mo annual | Free (2,000 lifetime credits) + $49/mo |