Preventing billions in credit losses starts here.

Pay good actors up front, catch bad actors before the chargebacks hit. Unify transactions, products, and reviews into a single, dynamic model. Review flags in our enterprise tooling.

Why Credit Teams Choose SafetyKit

Stop chasing individual chargebacks. SafetyKit scales across billions of transactions to catch systematic fraud before it becomes a credit loss.

Preserve Platform Quality

SafetyKit's nuanced decision-making separates bad actors from struggling sellers who need support, enabling growth without false positives. Powered by advanced ML models.

Deep Investigations

Offsite reviews, adverse media analysis, legal entity extraction, and agentic workflows that autonomously connect the dots across your entire ecosystem.

Fast, Brilliant Tooling

Case management built for speed, clarity, and accuracy. Review complex cases in seconds, not hours, with AI-powered evidence synthesis.

Network-Level Detection

Surface coordinated fraud rings operating across accounts and surfaces that traditional credit tools miss entirely.

Unify transaction, content, and seller behavior signals to prevent credit losses before they happen.

Credit risk analysis visualization

Real-time Risk Signals

Detect fraud attempts the moment they occur. Analyze transaction velocity, behavioral patterns, and cross-reference against known bad actor networks without slowing down legitimate sellers.
RISK SCORE
42
Credit risk analysis visualization

Multimodal Content Analysis

Our ML models analyze product images, descriptions, and seller behavior to detect counterfeit goods, price manipulation, and coordinated schemes that bypass traditional credit checks.
Live Detection Feed
🖼️Images
📝Descriptions
👤Behavior
💳Transactions
Awaiting analysis...
Credit risk analysis visualization

Agentic Case Management

Agentic workflows autonomously connect identity, behavioral, and transaction signals to map fraud networks. SafetyKit removes clear violations and escalates edge cases for human review.
ACTIVE INVESTIGATION
CASE-2847Fashion Outlet Store
high Risk
📥
Data
🔍
Entities
🕸️
Network
📰
Media
📊
Score
Decision

Built for Enterprise Credit Teams

From real-time scoring to deep investigations, SafetyKit gives your team the tools to prevent losses at scale.

Fashion Outlet Store
Sep 1 – Nov 20, 2024
high
Transactions
$0
Chargebacks
$0
10.00%
Losses
$0
12.64%
Payouts
$0
88.00%

Seller Risk Scoring

Dynamic risk scores powered by ML models that update in real-time based on transaction patterns, review velocity, chargeback history, and behavioral signals.

94%
Fraud detection rate
<0.1%
False positive rate
2.3s
Avg decision time
TRANSACTIONS MONITORED
0
BLOCKED
0

Chargeback Prevention

Proactive monitoring catches suspicious patterns before chargebacks are filed. AI agents integrate with your payment processor to block high-risk transactions.

67%
Chargeback reduction
$2.4M
Avg annual savings
< 1hr
Time to detection
High
Medium
Low
NETWORK
8 linked entities

Fraud Network Mapping

Visualize connections between accounts, devices, and behaviors to uncover coordinated fraud rings. Surface hidden relationships that single-account analysis misses.

12x
More fraud caught
4.2K
Networks identified monthly
89%
Action rate
Stylised collage of people, shoes and city scenes reinforcing the message of platform safety and user trust
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