# How RAISE uses Sardine

**45%**: “Raise has cut chargebacks by 45%”

As published on [sardine.ai](https://www.sardine.ai/customers/raise). Captured by usedby on 2026-10-08.

- Company: [RAISE](https://www.usedby.ai/companies/raise.md)
- Tool: [Sardine](https://www.usedby.ai/tools/sardine.md)
- Industry: [Fintech & Payments](https://www.usedby.ai/companies/industry/fintech-payments.md)
- Teams: Risk

## What the story says

Raise, a gift card exchange, uses Sardine's fraud prevention to fight chargeback fraud. Sardine optimized Raise's rulesets and trained custom ML models to detect gift card-related schemes, which replaced a homegrown in-house system and cut the need for manual order reviews.

Summary written by usedby from the source page, in English. The figures are those of Sardine and RAISE, not ours.

> Since partnering with Sardine three years ago, Raise has cut chargebacks by 45% and reduced manual reviews from 18% of transactions to just 0.25%.

- **98%**: “With the support of Sardine’s AI features, Raise has reduced manual reviews by 98%, from 15-18% of transactions to just 0.25%.”
- **0.25%**: “Since partnering with Sardine three years ago, Raise has cut chargebacks by 45% and reduced manual reviews from 18% of transactions to just 0.25%.”

> Sardine does a great job of detecting suspicious patterns. Their technology is designed to continue adapting to emerging fraud tactics, helping us stay ahead of threats.
>
> Dartanion Wells, Risk Supervisor

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 45% is printed word for word on the page, near the name of RAISE.
- Checked: the passage quoted above is copied word for word from the page, near the name of RAISE.
- Checked: RAISE uses Sardine. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/raise-sardine · How we check: https://www.usedby.ai/methodology