What's the difference between a specialist agent and a Cowork copilot?

Specialist agents own one narrow task reliably and run on the cheapest model that passes your eval. Cowork is for exploration, uses frontier models, and requires human steering.

How do I get started?

You can book a demo for enterprise onboarding, or sign up to try the platform. For a guided first build, follow the 'Quick Start' guide in our documentation.

Do you use AI Agents in your support process?

Yes, we dogfood our own platform. Free tier gets AI Agent support. Pro/Team get a mix of human and AI. Enterprise gets dedicated support with AI assistance.

How does the model optimization work?

The platform runs evaluations across multiple LLM providers (e.g., GPT, Claude, Gemini) for each agent. It automatically routes to the lowest-cost model that meets your defined performance bar (pass rate).

What SLA do you offer for support?

Enterprise gets 1 business day first response. Team gets 2 days. Pro gets 3 days. Free customers have no SLA. Support is only during Sydney business hours on weekdays.

Directory/Automation/AI Agents/Relevance AI

Relevance AI

Relevance AI is an enterprise-grade platform for building, deploying, and managing multi-agent AI systems that autonomously complete business tasks. It provides a no-code/low-code builder, pre-built templates, and a visual canvas for orchestrating teams of specialized AI agents that handle workflows like sales, marketing, customer support, and operations. The platform emphasizes governance, scalability, and enterprise readiness, featuring built-in evaluations, A/B testing, human-in-the-loop approvals, and robust security (SOC 2, GDPR). It connects to over 1,000 apps and supports all major LLMs, allowing teams to optimize for cost and performance by routing tasks to the cheapest model that meets quality benchmarks.

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Added on

Sep 22, 2026

No-code builderMulti-agent teamsLLM routerEval systemEnterprise security1,000+ integrationsVisual canvasCost optimization

Product information

Everything worth knowing about Relevance AI

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

No-Code Agent Builder

Build AI agents and multi-agent teams from templates or from scratch using a visual, no-code interface.

AI Workforce Deployment

Deploy specialist agents for specific tasks (e.g., research, scheduling, CRM updates) that run autonomously.

Integrated Tool Builder

Connect agents to apps, APIs, and services (like Zapier, Zep, Composio) with a no-code workflow builder.

Enterprise Security & Governance

Features include SSO/SAML, RBAC, audit logs, PII masking, data residency, and human-in-the-loop approvals.

Technical capabilities

Performance Evaluation System

Automatically samples live agent runs, charts pass rates, and flags performance drift against set benchmarks.

Dynamic LLM Router

Automatically selects the lowest-cost model (from multiple providers like Gemini, Claude, GPT) that meets the required performance benchmark for each agent task.

Must watch videos

5:06

Tutorial5:06

Introducing Evals by Relevance AI

Introducing Evals — Relevance AI’s system for continuously testing, improving, and monitoring agent and workforce performance. Once agents go live, prompts can drift, edge cases appear, and small issues can quickly become customer risk or unnecessary cost. Evals helps you stay ahead by testing agent behavior, investigating failures, improving prompts, gating releases, and monitoring performance over time. In this walkthrough, Nick Dadar shows how to: • Build quality checks in plain English • Create and run test suites for agents and workforces • Investigate failures and improve prompts • Gate changes before they go live • Monitor performance and cost over time • Compare model configurations to find the best quality-to-cost trade-off Chapters: 00:00 Introducing Evals 01:20 Build quality checks 02:30 Inspect failures and improve prompts 03:14 Gate every release 03:40 Monitor quality and cost 04:24 Find the right model trade-off Learn more about Relevance AI: https://relevanceai.com #RelevanceAI #AIAgents #AgentEvaluation #Evals #EnterpriseAI

Most AEs Spend Their Day on Everything But Selling. Here's the Fix | Relevance Live

52:15

Tutorial52:15

Most AEs Spend Their Day on Everything But Selling. Here's the Fix | Relevance Live

In this Relevance Live session, Johann Filmalter (Account Executive at Relevance AI) shows what a sales day looks like when your agents do the busywork — and you just close. Most AEs spend their day on everything except selling. Prospect research before every call, account digging across a dozen tabs, meeting prep, follow-ups, CRM updates — the admin stacks up, and the time you actually spend with customers shrinks. Johann runs his entire day on Relevance AI. Agents research his prospects and accounts before he picks up the phone, prep him for every meeting, and handle the follow-through after each call. He walks through a real day in his life as an AE — the actual agents he relies on and how they fit together, hour by hour. This is the move that turns AI from a tool you check in on into a workforce that genuinely takes work off your plate. Great for AEs, SDRs, sales leaders, RevOps, or anyone who wants to spend less time on sales admin and more time actually selling. --- Get started with Relevance AI: relevanceai.com Join our community: community.relevanceai.com

Most Teams Run Their AI Agents on Training Wheels. Here's How To Take Them Off | Relevance Live

50:57

Tutorial50:57

Most Teams Run Their AI Agents on Training Wheels. Here's How To Take Them Off | Relevance Live

In this Relevance Live session, Taraswin Maynoor (Solutions Engineer at Relevance AI) tackles the leap every team eventually faces: letting your agents run on their own. Most teams run their agents as copilots. A human kicks off every task, checks every step, and signs off on every output. It's the right place to start — but it caps how much the agent can actually take off your plate. You're still in the loop for everything, which means the agent is only ever as fast as you are. Taras walks through how to graduate an agent from copilot to autopilot: what you need to get right before you hand over the keys, the guardrails and escalation paths that make autonomy safe, and how to tell when an agent is genuinely ready to fly solo. Same agent, far more leverage — it runs tasks end to end and only pulls you in when it actually needs you. This is the move that turns an agent from a helpful assistant into something that genuinely takes work off your plate. Great for anyone running agents as copilots who wants more out of them, ops and support leaders, and anyone curious about how to safely hand more work to their AI. --- Get started with Relevance AI: relevanceai.com Join our community: community.relevanceai.com

Who uses it

Real use cases, no hype

Sales Lead Enrichment

Automatically research and enrich account data in CRM from live sources.

Meeting Preparation

Generate pre-call briefs with context from multiple data sources.

Post-Call Automation

Log notes, send follow-ups, and update CRM stages automatically.

Outbound Prospecting

Draft personalized multi-channel sequences based on real-time signals.

Deal Review & Forecasting

Analyze deals against criteria and roll up pipeline forecasts.

Proposal Drafting

Generate tailored proposals and quotes in minutes from templates.

Customer Support Triage

Handle routine inquiries, troubleshoot common issues, and escalate intelligently.

What's great

Massive integration library (1000+ apps) for agent connectivity.
Proven ROI with enterprise customers like Canva and Qualified.
Quick deployment with guided onboarding for first agent team.

Technical strengths

Deep multi-model optimization: picks cheapest LLM that passes your eval.
Unified platform: agents, evals, tracing, routing in one system.
Enterprise-grade security with SOC 2, data residency, and audit logs.
Specialist agent focus reduces cost vs. general-purpose copilots.

Where it falls short

Enterprise-focused pricing and sales process.
No free tier for serious use; 'Free' is very limited.
Support SLAs are slow for non-Enterprise plans.

Technical limitations

Complexity in managing multi-agent workforces and evals.
Vendor lock-in risk with proprietary agent orchestration.

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

We offer data residency, PII masking, audit logs, and a strict no-training-on-your-data policy. Our platform is SOC 2 Type II certified and GDPR compliant.

Traffic Insights

Monthly Visits

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October 2026

Growth Rate

vs last month

Dominance

in Automation

Top Country

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Top Countries Breakdown

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Growth Trend

Stable

Traffic has remained stable.

Pricing overview

Freemium Pricing

Relevance AI Pricing

Relevance AI uses a freemium pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on Relevance AI

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