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Sub-50ms feature freshness — because stale predictions cost real money.

StreamPrep

Processes high-velocity streaming data into model-ready features in real time, supporting use cases like fraud detection, network anomaly detection, and real-time patient vitals monitoring. Eliminates the latency gap between event occurrence and ML model input that causes stale predictions in mission-critical applications.

Why It Matters

StreamPrep closes the costliest gap in real-time ML — the lag between an event happening and the model knowing about it.
Fraud, network anomalies, and patient deterioration don’t wait for batch pipelines; sub-50ms feature freshness means models act on what’s happening now, not hours ago.
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Stale predictions cost real money

A fraud model fed multi-hour-old features approves transactions it should block — sub-50ms freshness turns detection from retrospective to preventive.

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Enables mission-critical use cases

Real-time fraud detection, telecom network anomaly detection, and patient vitals monitoring are only possible when features arrive at streaming speed.

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Production-grade streaming architecture

Kafka, Flink, and Kinesis with Protobuf schema enforcement deliver the reliability and data contracts that enterprise streaming demands — not fragile custom scripts.

The Cloudly Advantage

StreamPrep is Cloudly’s highest-stakes, highest-value product — it powers the use cases (fraud, network operations, patient monitoring) where our banking, telecom, and healthcare targets feel pain in revenue terms, not just efficiency terms.
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Sells on revenue protection, not efficiency

Fraud losses and network downtime have hard dollar figures — BD can build ROI cases that CFOs approve quickly.

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Perfect vertical fit

Fraud detection (banking), anomaly detection (telecom), vitals monitoring (healthcare) map one-to-one onto our three priority industries.

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Cluster Services goldmine

Kafka and Flink clusters demand serious design, tuning, and 24/7 operations — exactly what our Cluster Services consultancy and managed operations sell.

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AIOps and monitoring pull-through

Streaming pipelines need continuous observability — every deployment creates AWS Monitoring and AIOps service contracts.

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Completes the feature story with FeatureVault

StreamPrep feeds the online store FeatureVault serves — pitched together, they're a real-time ML data platform competitors can't match piecemeal.

The Final Takeaway

Kinesis opens AWS deals — Native AWS Kinesis support creates direct entry points for AWS Migration engagements in cloud-committed accounts.

Powered By

Apache Kafka

Core to the StreamPrep technology stack.

Apache Flink

Core to the StreamPrep technology stack.

AWS Kinesis

Core to the StreamPrep technology stack.

Redis Feature Cache

Core to the StreamPrep technology stack.

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