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Over 1,000 app integrations, such as Salesforce, HubSpot, Slack, Snowflake, and Zendesk, plus custom tools. An MCP server lets you build and run agents from Claude, ChatGPT, Cursor, and other clients.
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Relevance AI
a platform for building an AI workforce: teams of specialist agents that run on app integrations in Relevance AI's cloud
Who they are and what they are good at
Relevance AI sells an AI workforce. Teams build specialist agents without code, link them into workforces, and run them on events and schedules. Invent, its AI builder, helps turn a description of the work into agents.
Workforces and approvals
Each handoff between agents can run automatically, require approval, or let the agent decide when to ask. Pending approvals wait in a task view, where a person approves, rejects, or adds guidance.
Browser
A native browser tool and third-party browser integrations cover some websites.
Where it runs
Relevance AI's cloud, in a US, EU, or Australian region chosen at signup.
Enterprise
SSO, role-based access, audit logs, PII masking, and agent tracing.
Pricing
Actions, counted each time an agent runs a tool, plus Vendor Credits for model and tool costs. Your own model keys can stand in for Vendor Credits.
It is good at work with an API at both ends: sales research and prospecting, customer success, support, and document review.
Where Relevance AI stops for messy back-office work
Relevance AI's agents reach software through integrations and tools in its cloud. A lot of back-office work runs through software with neither.
Desktop and on-premises apps
A transportation management system on an office server, or a Windows accounting package, has no integration. A vendor's cloud reaches it only if IT exposes it.
Portals under a person's login
Relevance AI's native browser tool launched as a basic option for navigating pages and pulling out text. A carrier portal with MFA on one auditor's phone is hard to run from a cloud session.
Exact rules
Prompts and tool steps carry the logic. A rate table that has to match the contract to the cent is safer as a rule with no model call.
Two meters
Every tool run spends an Action, and model usage spends Vendor Credits or your own key. Long jobs with many tool calls add up.
LaunchAI works through the screen of any app, on the user's machine or an enrolled agent PC, in sessions that are already signed in. Calculations run as rules with no model call, and every action leaves a screenshot.
Side by side
| Relevance AI | LaunchAI | |
|---|---|---|
| Built for | Teams of agents across SaaS | Recurring back-office procedures, including desktop apps |
| Who builds | Business teams, with a no-code builder | The person who does the work |
| How you build | No-code builder, or describe the work to Invent | Talk and show; each step runs live as you build |
| Reaches software through | 1,000+ integrations, custom tools, browser tools | The screen of any app, plus an API where one exists |
| Where it runs | Relevance AI cloud, in the US, EU, or Australia | The user's machine or an enrolled agent PC |
| Desktop and on-premises apps | Through integrations only | Yes, from inside the network |
| Exact rules | Prompts and tool steps | Rules and Tables, no model call |
| Human review | Approvals on handoffs and tools | A review step anywhere, source beside the record |
| Evidence | Agent tracing, audit logs | A screenshot of every action |
| Cost unit | Actions plus Vendor Credits | License |
| Speed | Fast on API calls | Human pace per step, the tradeoff for reach |
When to choose Relevance AI
- Researching prospects and writing tailored outreach into the CRM.
- A support or customer success team of agents, with handoffs and approvals between them.
- Reviewing contracts or documents that arrive through connected apps.
- A team that wants several agents working together on SaaS, with deployment help from the vendor.
When to choose LaunchAI
- A freight auditor at a 3PL matches each carrier invoice to its load in a desktop transportation management system with no API.
- Accessorial charges are checked against each carrier's contract rate table, to the cent, with no model call.
- Disputes are filed on the carrier's portal under the auditor's own login, after the auditor reviews each one with the invoice beside the load record.
- Every value traces back to a screenshot of where it came from.
Better together
Let Relevance AI's agents handle carrier email and account notes. When an invoice arrives, an agent pulls the header details and logs them in a shared table. LaunchAI's overnight run matches each logged invoice in the TMS, checks the rate table, and files disputes on the portal. Results go back to the table for the Relevance AI agents to share with the carrier.
FAQ
Can Relevance AI reach our desktop TMS?
Only through an integration or an API your TMS exposes to its cloud. With neither, the job needs a screen-level route.
Do Relevance AI's agents ask for approval?
Yes. Any handoff or tool can require approval, and pending requests wait in the workforce task view.
How is Relevance AI priced?
In Actions, one per tool run, plus Vendor Credits for model and tool costs. With your own model keys, model usage skips Vendor Credits but tool runs still count as Actions.
Where is our data stored?
Relevance AI stores it in the region chosen at signup: the US, the EU, or Australia. LaunchAI runs on your own machine or an enrolled agent PC, and run history stays there.
Can LaunchAI do the CRM and email parts?
Yes, through the screen or an API. Relevance AI does them without occupying a desktop, often for less.
No prompts. No babysitting. No Integrations.