# Relevance AI — Build and run an "AI workforce", teams of no-code agents that do real sales, ops and research work.

> Source: The Agents Index — https://theagentsindex.com/relevance-ai (structured, researched, re-verified)
> Facts last verified: 2026-07-23

Relevance AI is a no-code platform for building and deploying "an AI workforce", specialist agents, and teams of agents, that run business workflows across sales, marketing, operations and support. You compose agents from tools, connect them to your stack over 2,000+ integrations and MCP, and orchestrate several into a coordinated "workforce." It ships the surrounding infrastructure too: an LLM router that picks a cheap model that still passes quality bars, an evals framework, human-in-the-loop approvals, tracing and access controls. Its flagship sales agent, Bosh, is a custom-onboarded BDR. Founded in 2020 in Sydney, Australia by Daniel Vassilev, Jacky Koh and Daniel Palmer, the company has raised $37M total, most recently a $24M Series B led by Bessemer Venture Partners in May 2025, with Insight Partners, King River Capital and Peak XV also participating, and opened a San Francisco office as part of that expansion.

| Fact | Value |
| --- | --- |
| Website | https://relevanceai.com |
| API | Yes |
| Best for | Revenue and ops teams that want to build and run coordinated multi-agent workforces in production, with enterprise controls. |
| Not for | Solo builders who just want a single quick bot, or teams that need an open-source, self-hostable stack. |

## Verdict

Relevance AI is one of the more serious "agent platform" plays: it’s built from the ground up for multi-agent workforces, with the unglamorous production plumbing, an LLM router, evals, tracing, approvals and RBAC/SSO, that separates a demo from something you’d trust with live pipeline. The cost-optimising router and bring-your-own-keys option are genuinely useful for keeping AI spend sane. The tradeoffs are real: the dual meter of Actions plus Vendor Credits is easy to misjudge on AI-heavy agents, the flagship Bosh BDR is a custom enterprise onboarding rather than a self-serve click, and the public pricing page now leads with "talk to sales." Pick Relevance AI if you want to build coordinated agent teams with enterprise-grade control and will invest in learning it; skip it if you need a single quick bot, open-source self-hosting, or perfectly predictable flat pricing.

## Strengths and weaknesses

- ✓ Purpose-built for multi-agent "workforces," not just single bots, with real orchestration, evals and tracing.
- ✓ Cost-optimising LLM router and bring-your-own-keys option keep AI spend down.
- ✓ Backed by real, named customer results, not just vendor claims, Qualified built 35+ agents on the platform and reports a $7M pipeline in 6 months (a 10x output increase), with separate published case studies for Send Payments (40 hours/week saved) and Zembl (30% more conversions).
- ✗ Dual-meter pricing (Actions + Vendor Credits) is powerful but easy to misjudge, AI-heavy agents can burn credits faster than expected.
- ✗ The flagship BDR agent, Bosh, isn’t self-serve, it’s a custom, multi-week enterprise onboarding, not something you switch on from the free tier.
- ✗ Closed-source and cloud-only; getting the most out of it (evals, tool-building, orchestration) has a real learning curve.
- ⚠ The public pricing page now foregrounds Enterprise; self-serve tier figures are less prominent and change over time.
- ⚠ Vendor Credit consumption can be hard to predict on AI-heavy agents unless you bring your own model keys.

## Key features

- **No-code agent + tool builder** — Compose agents from tools and instructions in a visual builder, or extend with custom API actions and MCP.
- **Multi-agent "workforces"** — Orchestrate several specialist agents that hand work between each other on one workflow.
- **Cost-optimising LLM router** — Routes each step to the cheapest model (Claude, GPT, Gemini) that still passes your quality evals.
- **Production infrastructure** — Built-in evals, tracing, human-in-the-loop approvals, RBAC and SSO for running agents live.

## Use cases

- **Autonomous prospecting** — The Bosh BDR agent finds ICP-matched contacts, researches them, sends personalised cold email and books meetings.
- **Ops automation** — A workforce enriches inbound leads, updates the CRM and drafts follow-ups without a human touching each record.

## Integrations

Salesforce & HubSpot (CRM) · Slack & Gmail · LinkedIn & Apollo · 2,000+ apps + MCP servers · Model providers — Anthropic, OpenAI, Google

## Sources

- https://relevanceai.com/pricing
- https://coldiq.com/blog/relevance-ai-pricing
- https://relevanceai.com/blog/the-ai-workforce-revolution-24m-series-b-to-accelerate-our-mission
- https://techcrunch.com/2025/05/06/relevance-ai-raises-24m-series-b-to-help-anyone-build-teams-of-ai-agents/
- https://relevanceai.com/customers/qualified