Private beta · seeking design partners

Fraud decisions with the full customer context.

Conva’s early product connects account, session, device, and payment activity to return a fraud decision with reason codes. We’re looking for design partners to evaluate it against real workflows before putting it in the path of a live payment.

APIPoC↗

For teams where
every decision matters.

ILLUSTRATIVE DECISION PRIVATE BETA

TRANSACTION

$8,240.00

•••• 4821 · San Francisco, US

✓

PROPOSED: ALLOW

Profile + recent activityEvaluated
PROCESSING TARGET<30 ms
CONTROLSRules first
OUTCOMEReason codes

Security changes  0 in 24 hours

Payment failures  0 in 5 minutes

Payment disputes  0 in 365 days

DESIGNED FOR HIGH-VELOCITY TRANSACTIONS

paymentsdigital goodsmarketplacesCOMMERCEplatforms

Context across the
customer journey.

Conva connects activity from account creation and sign-in through payment, disputes, and other post-payment outcomes. Its current decisioning uses transparent policy rules and returns reason codes. Customer-specific models are future work, considered only when real outcomes support them. Our service-side processing target is under 30 ms; network time is outside that measure.

<30ms

Target service-side processing
time for supported decisions.

Make payment decisions with context.

Conva connects the account, session, device, and payment instrument behind a transaction. Signals stay attached to the identity they came from, so a payment decision can reflect the fuller picture.

01

Current context, not just an event.

The decision flow combines transaction details with account, device, payment, and recent-activity context—so teams can assess risk with a fuller picture.

Partner on the product ↗
02
✓

Validate before enforcing.

Start with transparent, customer-specific controls in shadow mode. Evaluate decisions alongside your existing flow before introducing customer friction or blocking a payment.

How it works ↗
03
PROFILE-AWARE

Decisions you can inspect.

Return an allow, step-up, review, or block recommendation with reason codes your team can evaluate and refine.

Get in touch ↗

Validate together.
Before enforcement.

01

Map the workflow

We’ll understand your transactions, existing controls, and the outcomes that matter.

→
02

Run in shadow

Mirror selected inputs to evaluate profile-aware rules without changing your customer flow.

→
03

Learn from outcomes

Review reason codes and outcomes together; use that evidence to refine controls and later assess a customer-specific model.

+
Our principle: earn the right to automate a decision with transparent controls and real evidence—not a black box.
C

The Conva approach
Current context · transparent controls · continuous learning

Seeking design partners

See whether Conva
fits your workflow.

If fraud or false positives are affecting your digital transactions, tell us what you’re seeing. We can discuss whether a shadow-mode evaluation makes sense before any decision affects a customer.

Discuss a pilot →

Or email us directly at hello@convahq.com. A sentence about your payment flow and the problem you want to solve is enough to start.