Reach
1,500+ integrations, including Gmail, Slack, Notion, HubSpot, and Stripe. Any hosted MCP server plugs in too.
an AI employee that works from Slack, email, iMessage, and meetings, plugs into 1,500+ integrations, and can drive a browser on a cloud computer
Lindy describes itself as an AI employee. You talk to it where you already work, in Slack, email, iMessage, Gmail through a Chrome extension, or on a call. It aims to take whole jobs, not single tasks.
1,500+ integrations, including Gmail, Slack, Notion, HubSpot, and Stripe. Any hosted MCP server plugs in too.
When no integration exists, Lindy drives a browser on a cloud computer it runs. You can take control when it needs help, such as a login.
Show Lindy a procedure once and it saves it as a skill for the team. Recurring work becomes a routine with a sentence.
Actions that write or send can wait for your approval.
SOC 2 Type II. Enterprise adds SSO, SCIM, audit logs, and HIPAA with a signed BAA.
Per-user seats and a credit pool shared across the workspace. Plan credits reset each cycle; purchased top-ups carry over.
It is good at the work that lives in messages: inbox triage, meeting notes, CRM updates, scheduling, and follow-ups.
Lindy's computers live in Lindy's cloud. That suits public websites and SaaS. It is awkward for software that lives inside the office.
A cloud computer is not your office PC. A payroll system installed on an office server is out of reach unless IT exposes it, which most IT teams will not do for a system of record.
On a cloud computer, someone signs in to each portal from outside the office, and the session is kept there. LaunchAI uses the employee's own session from the office network.
Skills and routines are plain-language instructions. An overtime rule or a bill-rate table is safer as a rule that runs without a model.
Every job draws on the shared pool. When it runs out, Lindy pauses credit-using actions until the next cycle unless an admin tops 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.
| Lindy | LaunchAI | |
|---|---|---|
| Built for | Work in email, Slack, meetings, and SaaS | Recurring back-office procedures, including desktop apps |
| Who builds | Each user or team, in conversation | The person who does the work |
| How you build | Ask, or show it once | Talk and show; each step runs live as you build |
| Reaches software through | Integrations, MCP, a browser on a cloud computer | The screen of any app, plus an API where one exists |
| Where it runs | Lindy cloud | The user's machine or an enrolled agent PC |
| On-premises apps | Only if exposed to its cloud | Yes, from inside the network |
| Exact rules | Instructions and skills | Rules and Tables, no model call |
| Human review | Write and send actions wait for approval | A review step anywhere, source beside the record |
| Evidence | Audit logs on Enterprise | A screenshot of every action |
| Cost unit | Seats plus pooled credits | License |
| Speed | Fast on API calls | Human pace per step, the tradeoff for reach |
Let Lindy run the conversation. It chases late timesheets by email and Slack and marks which clients are ready in a shared sheet. LaunchAI's scheduled run works those portals and the payroll system and leaves exceptions in its review queue. Lindy can nudge the payroll lead to clear them.
Only if the system is reachable from Lindy's cloud. A Windows app on an office server usually is not.
Actions that write or send can wait for your approval. LaunchAI's review step does the same anywhere in a workflow, with the source document on screen.
Lindy pauses credit-using actions until credits reset at the next cycle. Admins can top up at any time, and top-ups carry over.
Yes. Lindy does it without occupying a desktop, right where your team already talks, which often makes it the better fit there.
No prompts. No babysitting. No Integrations.