Relevance AI
Relevance AI

AI agents that drive business impact, built by your team

Build and recruit teams of specialist AI agents that run your work on autopilot, created by your team in plain language, no code required.

Build a team to work my inbound pipeline
Lead Researcher
Inbound Qualifier
Outbound SDR
Lead Researcher
Inbound Qualifier
Outbound SDR

Your first team of agents creating impact, in six weeks or less

An embedded deployment team gets you live, then trains your team to build without us. All on top of Relevance's enterprise-grade platform.

Weeks 1-2

Map initial use‑cases & value

We work with you to map your workflows and find the use cases worth handing to agents first.

Weeks 1-2

Map initial use‑cases & value

We work with you to map your workflows and find the use cases worth handing to agents first.

Weeks 3-6

Deploy your first team of agents

Our embedded deployment team builds your first team of highly customized agents with you.

Weeks 3-6

Deploy your first team of agents

Our embedded deployment team builds your first team of highly customized agents with you.

Week 6+

Your experts build new agents weekly

We train your team to scope, prioritize, and build high-impact use cases without waiting on us.

Week 6+

Your experts build new agents weekly

We train your team to scope, prioritize, and build high-impact use cases without waiting on us.

Experts and engineers build together

Three ways to build. Every path ships to the same runtime, gated by the same evals.

Drag and drop

Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.

Drag and drop

Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.

Build with AI

Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.

Build with AI

Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.

Build with MCP

Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.

Build with MCP

Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.

Qualified

Qualified generated $7M pipeline with 35+ AI agents across the org

Read the story
10x increase in output
$7M pipeline in 6 months
35+ agents across the org
Send Payments

Send Payments saves 40 hours weekly by going AI-first across global operations

Read the story
40 hrs saved weekly
24/7 global ops
1000s conversations automated
Zembl

Zembl drives 30% more customer conversions with 24/7 AI sales coverage

Read the story
30% increase in customer conversion
24/7 AI sales coverage
60% faster avg call time
Qualified

Qualified generated $7M pipeline with 35+ AI agents across the org

Read the story
10x increase in output
$7M pipeline in 6 months
35+ agents across the org
Send Payments

Send Payments saves 40 hours weekly by going AI-first across global operations

Read the story
40 hrs saved weekly
24/7 global ops
1000s conversations automated
Zembl

Zembl drives 30% more customer conversions with 24/7 AI sales coverage

Read the story
30% increase in customer conversion
24/7 AI sales coverage
60% faster avg call time

Take what's working in Cowork, optimize and scale it

When use cases solidify, swap frontier models brute-forcing every task for a team of specialist agents.

Specialist agents

  • Owns one narrow task
  • Reliable quality on every run
  • Cheapest model that passes
  • Runs on its own

Cowork & Codex

  • Built for exploration
  • Frontier pricing on every task
  • Needs constant steering

Set up benchmarks so you can guarantee performance

Relevance samples live runs, charts the pass rate, and flags any drift long before it reaches a customer.

Lead Enrichment Agent
92959890

Sampling 2% of live runs · 96.4% passing this week

Company match accuracy
96%
Contact email accuracy
93%
Job title accuracy
92%
Field completeness
87%

Nothing runs without oversight

Your experts and agents working in lockstep, with every task, decision, and escalation visible in one place.

Tasks run / mo
1.24M
↑ 4.9× this year
Spend / mo
$11.8k
↓ 69% this year
Avg cost / task
$0.09
down from $0.14
Eval pass rate
96.4%
bar held at 90%
TaskRun byModelEvalCost
Research & EnricherEnrich account in CRMResearch & EnricherGemini 3 Flash96%$0.02
Pre-meeting PrepperPrep brief before callPre-meeting PrepperGPT-5.4 Mini95%$0.03
Post-call ActionerLog notes and fire follow-upsPost-call ActionerKimi K2.693%$0.02
Meeting SchedulerBook qualified meetingMeeting SchedulerGemini 3 Flash95%$0.02
Outbound ProspectorPersonalize outbound sequenceOutbound ProspectorClaude Haiku 4.594%$0.02
Forecast Roll-upRoll up pipeline forecastForecast Roll-upGemini 3.1 Pro97%$0.11
Deal ReviewerReview deal against criteriaDeal ReviewerGLM-5.292%$0.01
Proposal BuilderDraft tailored proposalProposal BuilderClaude Sonnet 4.696%$0.09

Connect to 1,000+ apps

Browse all integrations
HubSpot
Salesforce
Slack
Gmail
Google Sheets
LinkedIn
Apollo
Notion
Gong
Microsoft
BuiltWith
Freshdesk
Databricks
Salesloft
Snowflake
SendGrid
Twilio
Webflow
WhatsApp
PostHog
Airtable
Active Campaign
ahrefs
Github
Confluence
Canva
Intercom
Google Drive
Circle
Zendesk

We've helped thousands of teams launch their AI workforce

We partner with enterprise teams to put purpose-built agents to work on millions of tasks every month.

Web
News
Hiring
Funding
New account

Research & Enricher

Researches prospects from live, dynamic sources.

$48k ARR · renews soon
Raised SSO last call
Evaluating 2 competitors
Champion: VP Eng

Pre-meeting Prepper

Surfaces context for reps before every meeting.

Call ended
  1. 1
    Logged call notes
  2. 2
    Sent pricing PDF
  3. CRM stage updated

Post-call Actioner

Logs notes and fires follow-ups after each call.

June
MTWTF345671011121314
Booked · Thu 2pm

Meeting Scheduler

Books qualified meetings into reps’ calendars.

Hi Sarah, saw Ridgeline just closed its Series B. Scaling support headcount fast?

EmailLinkedIn

Outbound Prospector

Personalizes multi-channel prospect engagement.

$1.2M
Commit
$2.0M
Best
$4.8M
Pipeline
Commit call · $8.0M

Forecast Roll-up

Rolls deal signals into a clear pipeline call.

Budget confirmed
Timeline agreed
Legal review pending
Advance to close

Deal Reviewer

Reviews deals against criteria and flags any risk.

Ridgeline AI

Proposal Builder

Drafts tailored proposals and quotes in minutes.

Launch these sales use cases this quarter.

KPMG
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."

Levi Watters

Partner, KPMG Australia

Read more
Autodesk
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."

Allen Roh

Senior Marketing Manager, Autodesk

Read more
Canva
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."

Rob Giglio

Chief Customer Officer, Canva

Read more
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."

Levi Watters

Partner, KPMG Australia

Read more

Built for enterprise teams

Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.

AICPASOC 2TYPE II
SOC 2
GDPR
GDPR

Security & data privacy

  • Data residency
  • PII masking
  • Audit logs
  • No training on your data

Access & controls

  • Role-based access control
  • SSO / SAML
  • Human-in-the-loop approvals
  • Version control

Monitoring & oversight

  • Real-time monitoring
  • Full agent tracing
  • Cost visibility
  • OTEL & Delta Share export

For teams who own the number

Building an agent is easy. Relevance is built for what comes next: your experts owning quality, operations, and outcomes at scale.

Relevance AI
Relevance AI
Who manages agents day-to-day?
Your ops and revenue teams — the people closest to the work. We have dashboards and tooling designed specifically for agent management.
Your engineers — agents are configured via API, SDK, or CLI. The Claude Console adds GUI tracing and admin controls.
Who manages agents day-to-day?
Your ops and revenue teams — the people closest to the work. We have dashboards and tooling designed specifically for agent management.
Your engineers — agents are configured via API, SDK, or CLI. The Claude Console adds GUI tracing and admin controls.
Who owns agent quality?
Domain experts, with pre-deployment scenarios, production checks, and monitoring they can manage themselves.
Your engineers, via runtime self-healing (Outcomes) plus a Console eval tool for pre-deployment prompt testing.
Who owns agent quality?
Domain experts, with pre-deployment scenarios, production checks, and monitoring they can manage themselves.
Your engineers, via runtime self-healing (Outcomes) plus a Console eval tool for pre-deployment prompt testing.
How do agents receive tasks?
Native triggers for CRMs, email, calendar, and more. Plus webhooks, cron, and the ability to build custom triggers in platform.
Native scheduled deployments (cron) and webhooks, plus on-demand runs — all in beta.
How do agents receive tasks?
Native triggers for CRMs, email, calendar, and more. Plus webhooks, cron, and the ability to build custom triggers in platform.
Native scheduled deployments (cron) and webhooks, plus on-demand runs — all in beta.
What can my agents access?
1,000+ native connectors plus MCP support and the ability to build custom connectors.
Built-in hosted tools (web, code, files) plus MCP and Anthropic’s Connectors Directory — MCP-based, not native connectors.
What can my agents access?
1,000+ native connectors plus MCP support and the ability to build custom connectors.
Built-in hosted tools (web, code, files) plus MCP and Anthropic’s Connectors Directory — MCP-based, not native connectors.
How much can I tune performance?
Full orchestration with parallel streams, deep nesting, evals, and production monitoring — all GA.
Strong model quality, but single-level orchestration: a coordinator delegating to up to 20 agents, no nested sub-delegation.
How much can I tune performance?
Full orchestration with parallel streams, deep nesting, evals, and production monitoring — all GA.
Strong model quality, but single-level orchestration: a coordinator delegating to up to 20 agents, no nested sub-delegation.
How much can I control cost?
Full. Route to any model provider and optimize cost per agent, per task.
Claude models only — no routing to third-party providers. You can down-tier within the Claude family (Haiku vs Opus).
How much can I control cost?
Full. Route to any model provider and optimize cost per agent, per task.
Claude models only — no routing to third-party providers. You can down-tier within the Claude family (Haiku vs Opus).
How do I govern this?
Single pane for access control, permissions, and data security. Lots of control over approvals & escalations.
Tool-level permissions plus Console RBAC, SCIM, per-user spend caps, and an Admin API.
How do I govern this?
Single pane for access control, permissions, and data security. Lots of control over approvals & escalations.
Tool-level permissions plus Console RBAC, SCIM, per-user spend caps, and an Admin API.

Frequently asked questions

Can't find the answer here? Contact our support team.

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