Work arrives finished.
Uvy is an AI operator in your Slack. Ask for the report, the campaign, the fix, the outreach list. It comes back finished and waiting for your approval: nothing sends, merges, posts, or charges until you say go.
@uvy pull this week's pipeline vs last, flag anything stuck > 14 days, send the usual board format
Ready for review. Three deals stuck past 14 days, two look winnable. Approve and it goes to #revenue.
It finishes. You approve. It goes.
Finished work, waiting on you
Every task ends in something real: a report, a PR, a campaign, an updated CRM, staged in the thread for your approval. If it ends in a paragraph of advice, Uvy isn't done.
Private by architecture
Your Uvy runs in a dedicated, isolated environment. Credentials never leave it, data is never pooled, and nothing you do trains anyone else's agent.
The right model for every step
A routing layer sends mechanical steps to fast models and judgment calls to frontier ones. You get flat pricing and speed; no token meters, no model picking.
Your own isolated environment
Uvy never runs in a shared cloud soup. Every customer gets a dedicated, isolated environment: your credentials, your data, your Uvy, sealed off from everyone else's.
Sealed by default
One isolated environment per customer. No shared queues, no co-mingled data, no exceptions.
Credentials stay home
Tool credentials live only inside your environment, scoped to each workflow. Revoke one and that capability stops instantly.
A human gate on anything irreversible
Sending, publishing, merging, charging: each waits for a thumbs-up in Slack. The gate list is yours to configure.
Audited end to end
Every read, write, and approval is logged in your environment. Export the trail anytime. Leave, and the environment is destroyed.
SOC 2 Type II in progress · Your data trains no shared models · Environment destroyed on exit
Read the security architecture →Deployed with you, in days
Onboarding is forward-deployed: our engineers set up your isolated environment and build your first workflows with your team, on site or on a call.
We set up your environment
Every customer gets a dedicated, isolated machine. Your credentials, your data, your Uvy. Nothing shared.
Uvy joins Slack
It shows up like a peer. Mention it in any channel, brief it like a person. It checks in before anything irreversible.
We wire your routines live
Forward-deployed onboarding: in the first working session, your first routines go live while we're in the room.
Work compounds
Uvy remembers how your team likes things done. Every task it finishes makes the next one faster.
One operator, five departments
Uvy works where output is measurable: go-to-market, marketing, product, design, and engineering operations.
Your whole stack, one surface
Uvy works across the tools you already run. If it has an API, Uvy can operate it; if an integration is missing, we build it for you.
Copilots suggest. Automations run wild. Uvy waits for your go.
| Dimension | Chat copilots | Workflow builders | uvy |
|---|---|---|---|
| Output | Suggestions you finish | Zaps that break quietly | Finished artifacts, staged for approval |
| Control | You do the work anyway | Fire-and-forget | Approval-first: you say go |
| Setup | Per-person prompting | Weeks of drag-and-drop | Deployed with you in days |
| Where it lives | Another tab | A dashboard nobody opens | Your Slack |
| Infrastructure | Shared SaaS | Shared SaaS | Your own isolated environment |
| Pricing | Per seat | Per task, surprise overages | Flat per environment, usage included |
Asked often
How is this different from a chatbot or copilot?+
Copilots suggest; Uvy finishes. You mention it in Slack the way you would a peer, and it returns finished artifacts staged for your approval: the report, the PR, the campaign assets, the updated CRM. You say go; then it goes.
What does "isolated environment" actually mean?+
A hosted container that runs only your Uvy. Your credentials live in it, your data is processed in it, and no other customer touches it. It is the same isolation posture you would want from a contractor with system access.
How fast is onboarding?+
Your environment is live in days, and your first routines go live in the first working session. We sit with your team, take three real tasks off someone's plate, and wire them in front of you.
Which AI models does Uvy use?+
Several, deliberately. A routing layer matches each step of a task to the right model: fast models for mechanical steps, frontier models for judgment. You never pick a model and you never meter tokens.
Can Uvy take actions on its own?+
Approval-first is the default. Anything that leaves the building (sending, publishing, merging, charging) waits for your go in Slack. As trust builds, you can relax specific gates per workflow; that is your call to make, never ours.
What if we need an integration you don't have?+
We build it, usually within the week. Anything with an API is in scope, and custom integrations are included on the Operator plan.
Your next hire is already in Slack
We set up your isolated environment and wire your first routines in the first working session. Bring real work.
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