The AI backend that gets better with every run.

Run the agents behind every customer job on Levain. Each run is scored against the outcome you set, and the ones that fall short draft the next version for you to approve.

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Works with

Put agents on your customer-facing jobs.

Each agent answers where your customers already are: in your app, in Slack, in Claude or on an event. Each job ends in an outcome you can measure.

In your app Support

Where's my refund for order 4821?

Refunded $64 to your card. Expect it in 3 to 5 days.

Resolved without a person

Slack Accounts

Can we add five seats before Friday's invoice?

Done. Friday's invoice now shows 25 seats.

Expansion booked

Claude Orders

Reorder what I bought in March, in a medium this time.

Placed order 5532: two linen shirts, size M. Arrives Tuesday.

Order placed

On an event Collections

invoice.payment_failed
borealis · $1,240

Sent a card-update link and held the next reminder for three days.

Payment recovered

Let every agent run shape the next version.

Levain reads each run against the outcome you set. Where runs fall short, it drafts the fix; you approve it, and every customer gets it.

Run

run_8f2c · acme

agent refund-desk v8

result escalated

Score

outcome resolved alone

scored missed

why refund over $500

Draft

refund-desk v9

+ check refunds over $500

from 23 runs

Approve

v9 published

acme · borealis · vega

next run on v9

Ship agents without building the backend.

Each customer gets a workspace, and everything the agent needs arrives with it.

See the platform

A workspace per customer

Their tools, data, memory and limits, kept apart from everyone else's.

A fresh machine per run

Each run starts in its own microVM, gone when it ends.

Spend capped per customer

A runaway week is their line item, not your margin.

A record of every run

What it read, called, had approved and cost.

Any model, one setting

Switch providers without a rebuild, or bring your own keys.

Bring us the work. We'll make it AI-native.

Our engineers review your stack, find the jobs worth handing to AI, and build them into the tools your team and customers already use.

How a stack review works

  1. Review your stack

    We map your systems and pick the jobs with an outcome you can measure.

  2. Build it in

    We ship the agents on Levain, inside your workflows.

  3. Run the loop

    We read the runs with you and ship each improvement.

Start with one customer job.

Build the agent yourself on a free organization, or bring the job to us and we'll build it with you.

Start building Talk to us