ML Ops

Detect and eliminate risk at scale

Deploy classifiers, clustering, and anomaly detection across billions of data points.

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Deployed at scale by

$700B Card Network

Classifiers

Label transactions, users, content, or merchants into categories that match your policies. Use pre-trained models or build your own with AutoML.

SafetyKit Classifier

1  from safetykit import Classifier
2
3  classifier = Classifier(
4      name="transaction_fraud",
5      labels=["legitimate", "fraud", "review"]
6  )
7
8  result = classifier.predict(transaction)
9  # Returns: {"label": "fraud", "confidence": 0.94}

SafetyKit Cluster

1  from safetykit import Cluster
2
3  cluster = Cluster(
4      name="merchant_networks",
5      features=["email_domain", "ip_range", "payout_account"]
6  )
7
8  result = cluster.find(merchant)
9  # Returns: {"cluster_id": "c_8f2k9", "related_entities": 47}

Clustering

Group similar entities and behaviors automatically. Identify fraud rings and coordinated abuse across your data.

Anomaly Detection

Detect outliers across billions of data points. Find behavior that deviates from normal patterns.

SafetyKit AnomalyDetector

1  from safetykit import AnomalyDetector
2
3  detector = AnomalyDetector(
4      name="account_velocity",
5      baseline="30_day_average"
6  )
7
8  result = detector.scan(account)
9  # Returns: {"anomaly": true, "deviation": 3.4, "baseline": 12, "actual": 41}

"SafetyKit is far more accurate than legacy natural language processing models. When compared head-to-head with other vendors, SafetyKit's precision was twice as high."

Josh VredevoogdDirector of Engineering at

Built to work together

 1  {
 2    "model": "transaction_fraud",
 3    "input": {
 4      "amount": 2499.99,
 5      "merchant": "electronics_store",
 6      "country": "US"
 7    },
 8    "options": {
 9      "explain": true,
10      "threshold": 0.85
11    }
12  }

DOCS

Integrate with SafetyKit's API

AI OPS

Deploy AI agents that auto-resolve cases and route decisions to your team

HUMAN OPS

Reviewer tooling that captures knowledge and feeds your ML

Stylised collage of people, shoes and city scenes reinforcing the message of platform safety and user trust

Protect your platform.

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