Relevance AI
Relevance AI

AI agents that perform, run by teams who own the number

Where your domain experts and AI agents drive results together, safely, at enterprise scale. For GTM and other high growth teams.

Talk to salesTry for free
HubSpotSalesforceSlackGmailApolloGong
100+ integrations
Qualified

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

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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

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

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

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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

Your playbooks, scaled by agents

Your domain experts design the playbooks. Your agents execute them autonomously. Together, they scale what used to take entire teams.

Outbound SDR workforce
Building your agents...
Created Lead Researcher
Created Email Copywriter
Created Outbound Sender
Connected HubSpot + Gmail
Build with Invent

Describe what you want in plain language. Invent builds the agents, tools and evals for you.

Domain experts
Workforce builder
Build with drag & drop

Refine what you started in Invent or create agents from scratch in our no-code builder.

Ops teams
> Build me an outbound SDR workforce
I'll create an SDR workforce with agents
for research, outreach, and follow-up.
Create Agents
Lead Researcher
Email Copywriter
Outbound Sender
Connect Tools
HubSpot CRM
Gmail
⠋ Configuring triggers...
Build with MCP

Use our MCP with Claude Code, Codex, or your favorite copilot to build agents programmatically.

GTM engineers

Unlock the autonomous ROI you promised your board

Our framework maps the path from assisted AI to full autonomy. Most tools stop at L2. Relevance takes you all the way.

L1. Assisted
Human request
Agent action
Human request
Agent action
ChatGPT, Claude, Gemini
L2. Copilot
Human request
Agent uses skill
12 x Agent actions
Human reviews
Cowork, Claude Code, Codex
L3. Autopilot
Events & signals
Agent 1
Agent 2
Agent 3
Humans manage
Relevance platform
L4. Self-Driving
Business goals
Agents
Experiment A
Experiment B
Relevance platform
Human-led, flexible but inconsistent, hard to govern
Autonomous, fine tuned and consistent, governed
Example — Lead qualification
L1
L2
L3
L4

Reps research each lead, one prompt at a time

Reps use qualification skill and handles output

New leads are qualified and contacted automatically

Your agents optimize outreach strategy on their own

“Research this company”
OpenAI
Returns company info
“Score against our ICP”
OpenAI
Returns ICP score
“Draft an outreach email”
OpenAI
Returns draft
“Qualify this lead”
Researches company
Scores & qualifies
Drafts outreach email
Rep reviews & sends
HubSpot
New lead from HubSpot
Researches company
Scores & qualifies
Sends outreach
Escalate to human if unsure
“Improve outbound conversion”
Designs experiment
Tests messaging variants
Refines ICP criteria
Reply rate up 72% this quarter

Your team sets the quality bar

Domain experts define what good looks like — then Evals holds your agents to that standard across every task, every day.

Overall eval scoreLast 12 weeks
90% threshold
W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
W11
W12
BDR Agent — eval results
Eval results
Last run: 2 hours ago
Email quality
Lead qualification accuracy
Response time SLA
CRM data completeness
4 of 4 evals passing — safe to deploy

Nothing runs without oversight

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

Timeline
24hrPast week
6PM
7PM
8PM
9PM
10PM
11PM
12AM
1AM
2AM
3AM
4AM
5AM
6AM
7AM
8AM
9AM
10AM
11AM
12PM
1PM
2PM
3PM
4PM
5PM
Time
Task
Cost
Saved
Status
4:13 PM
Score inbound lead from Webflow form
Lead Scoring Agent
$0.03
−12m
Error
3:49 PM
Enrich contact data for Acme Corp
Data Enrichment Agent
$0.12
−25m
Error
2:30 PM
Triage support email — needs human review
Email Triage Agent
$0.08
−8m
Escalated
1:07 PM
Send follow-up sequence to 12 prospects
Outbound SDR Agent
$0.45
+$180
Complete
12:08 PM
Qualify MQL from HubSpot webhook
Lead Scoring Agent
$0.03
−15m
Error
11:30 AM
Research LinkedIn profiles for Meridian deal
Data Enrichment Agent
$0.18
−45m
Complete
10:58 AM
Search knowledge base for pricing objection
Email Triage Agent
$0.05
−10m
Complete
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

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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

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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

Security & governance at every layer

Autonomous agents require serious governance. Granular access controls for your team, your agents, and the systems they touch.

Monitoring dashboards

Real-time visibility into every agent's activity, performance, and cost.

RBAC

Role-based access controls for your team and your agents. Control who can build, edit, and deploy.

Data residency

Multi-region deployment ensures your data stays within your required geography.

Version control

Full version history on every agent. Roll back to any previous state instantly.

Audit logs

Every action, every decision, every tool call — fully logged and exportable.

Human-in-the-loop

Set approval gates on any action. Agents escalate when confidence is low.

SSO / SAML

Enterprise single sign-on with SAML 2.0. Centralize identity and access management.

PII masking

Automatically detect and redact personally identifiable information before it reaches the model.

OTEL & Delta Share

Export telemetry via OpenTelemetry and share data through Delta Sharing for full observability.

Your agents get better every quarter

Your go-to-market shouldn't be locked to one LLM provider. Relevance agents can use whatever LLM delivers the best balance of performance & cost.

BDR Agent
Active

Researches inbound leads, enriches contact data from LinkedIn and Apollo, scores them against ICP criteria, and drafts personalised outreach sequences in HubSpot.

Connected apps
Language model
Latest Claude SonnetAnthropic
BDR Agent — model evaluationper 1k runs
Model
Eval scoreEval
Cost
Claude Opus 4.7Claude Opus 4.7
Claude Sonnet 4.6Claude Sonnet 4.6
Claude Haiku 4.5Claude Haiku 4.5
Gemini 3.1 ProGemini 3.1 Pro
Gemini 3 FlashGemini 3 Flash
GPT-5.5GPT-5.5
GPT-5.4 MiniGPT-5.4 Mini
Gemini 3.1 Pro recommended — best eval score per dollar

Connect to 1,000+ apps

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

For teams who own the number

Building an agent is easy. Relevance is designed for what comes next — your domain experts owning agent 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. Configuring agents requires YAML, containers, and API calls.
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. Configuring agents requires YAML, containers, and API calls.
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). No pre-deployment testing framework.
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). No pre-deployment testing framework.
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.
No native triggers. You need to build external orchestration (cron jobs, GitHub Actions).
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.
No native triggers. You need to build external orchestration (cron jobs, GitHub Actions).
What can my agents access?
1,000+ native connectors plus MCP support and the ability to build custom connectors.
MCP only. No native connectors — you need to self-host tool servers.
What can my agents access?
1,000+ native connectors plus MCP support and the ability to build custom connectors.
MCP only. No native connectors — you need to self-host tool servers.
How much can I tune performance?
Full orchestration with parallel streams, deep nesting, evals, and production monitoring — all GA.
Strong model quality, but limited orchestration (single-level delegation, Research Preview).
How much can I tune performance?
Full orchestration with parallel streams, deep nesting, evals, and production monitoring — all GA.
Strong model quality, but limited orchestration (single-level delegation, Research Preview).
How much can I tweak cost?
Full. Route to any model provider and optimize cost per agent, per task.
Limited. Claude models only — no ability to route to cheaper alternatives.
How much can I tweak cost?
Full. Route to any model provider and optimize cost per agent, per task.
Limited. Claude models only — no ability to route to cheaper alternatives.
How do I keep control?
Single pane for access control, permissions, and data security. Lots of control over approvals & escalations.
Lightweight tool-level permissions only. No centralized governance or RBAC.
How do I keep control?
Single pane for access control, permissions, and data security. Lots of control over approvals & escalations.
Lightweight tool-level permissions only. No centralized governance or RBAC.

Featured in

CB Insights
"Leading Enterprise Agent Vendor"
Everest Group
"Agentic AI Luminary"
Capgemini
"Multi-Agent System Leader"
G2
G2 rating4.5 stars on G2

Your team is buried in tasks humans shouldn't do anymore