Afore CapitalBacked by Afore Capital

A personal AI agentfor every user.

Banti embeds in your product and learns each user. They act by typing instead of clicking.

Book a demo
Striperemembers you
You usually clear the refund queue first thing on Mondays
4 waiting, all shipping-failure refunds. Your last 17 went the same way
Run the batch, same flow as always
💳
Approve 4 refunds + apology emails
$1,142 total · matches the pattern of your last 17
Ask me anything...|

A complicated user interface is a leading reason customers abandon products.

Software gets built for some idealized average user, but no one is actually average. A power user and someone in their first week get the same dashboard, hit the same friction, and one of them quietly stops logging in.

SourceStripe
Without Banti
SettingsBillingSubscriptionsSeatsAdd member
Details
Permissions
Notifications
Limits
Email *
Display name
Role
Tier *
Cost center
Default workspace
Cancel
Save draft
Save & continue
Confirm
Permission required
Cancel
Grant
12 clicks · 4 modals · 5 tabs
With Banti
add a seat for Maya, dev tier
Adding seat → Maya · dev tier
doneseat_b71c added · invite sent
1 line · done

Banti learns from real usage, so features never go stale.

Discovery128 endpoints · refreshed 4m ago
EndpointSynthesized descriptionObs.Pick acc.
GET/api/customers/{id}Look up a customer by ID. Used after search to load detail view.4.8k98%
POST/api/ordersCreate a new order. Followed by inventory check, then payment.1.2k94%
PATCH/api/orders/{id}/statusUpdate order status (pending, shipped, delivered, cancelled).85091%
POST/api/refundsIssue a refund against a paid order.confirm23088%
GET/api/products/searchSearch the product catalog by name, SKU, or category.6.2k96%
Showing 5 of 128. All discovered from frontend traffic. No manual mapping required

A personalized co-pilot for every user.

Each user’s context is built from how they actually use the app.

Maya
Marketing
what banti knows about her
Friday morning is funnel day
ignores traffic sources under 1%
checks bounce rate after every deploy
picked up from her clicks and chats over the last few months
Friday morning. Pulling your usual paid-vs-organic funnel.
Bounce-rate dip on /pricing flagged for your retro doc.
no clarifying neededsent and shared, just like every other Friday
Jen
Finance
what banti knows about her
Q-end packets match the last quarter exactly
closes the books by the 5th of the month
lays out GAAP and non-GAAP side by side
learned over a year of using the app
Q3 revenue breakdown ready, same format as the last 4 quarters.
Variance commentary drafted. Copying the controller as usual.
no clarifying neededsent and ready for sign-off
how it scales

Same product. Two completely different co-pilots.

  • Built from real clicks, not onboarding surveys
  • No two user profiles look alike
  • Patterns adapt as a user’s habits evolve
  • Picks up new features the moment you ship them
one product, every workflow

Most chatbots can only talk.

A generic AI chat can give you advice but can’t actually use your product. Banti sits inside the app and takes the action itself.

Generic chatbot
text only
send my weekly sales rollup to Jen
Happy to help! Most apps have a Reports section in the sidebar. Look for an Export button there.
can you just do it for me?
I'm a chatbot, so I can't actually click around in your app or send emails. I can walk you through the steps if you'd like!
all words, no actions
Banti
in your app
It's Monday. Want me to send Jen your weekly sales rollup CSV, same as the last 8 weeks?
yes please
Sent. CSV to Jen, same format as last week.
took actionrecommended from past usage, sent inside the app
recommended from memory, action taken

Questions we hear a lot.

Why can’t we just build this internally?
You can, but in-house you are maintaining mappings and safety on every release. Banti updates that layer for you automatically and includes a dashboard for
visibility.
tl;dr: Minutes vs. Months.
How do you handle security and privacy?
We use encryption in transit, tight access controls, and optional confirmations on sensitive actions within your auth model; see our privacy policy for the full picture.
How long does onboarding take?
Minutes. You get a live, working agent that adapts to your product out of the box.
Do we have to maintain or update it as our product changes?
No: you integrate once and Banti keeps pace from live traffic instead of manual mapping every release.
What prevents users from taking destructive actions by accident?
Risky steps follow the same permission and confirmation patterns your product already implies before anything irreversible runs.
Does this replace our existing UI?
No: it is a second front door; your UI stays the system of record.