Anomaly Detection

GlassFlow provides you the infra to find anomalous data in real-time when they happen so you can take action before it affects downstream systems.

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1 Sec Detection

Score events against ML models in real-time with minimal latency. Every anomaly is detected within milliseconds.

0 Deployment

Because models are automatically deployed and versioned, there's no DevOps overhead needed.

100% Model Adoption

Real-Time multi functions and learning for your models to adapt to the newest data.

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The bottleneck

Problem

Model deployment complexity

Deploying and updating ML models in a production environment requires specialized infrastructure.

Problem

Processing speed requirements

Real-time scoring needs to happen within milliseconds to be actionable.

Problem

Alert management

Managing false positives and alert fatigue while ensuring critical anomalies are caught

The solution

Solution

Integrated model serving

Simple deployment process for ML models with automatic versioning and rollback capabilities.

Solution

Real-time scoring pipeline

High-performance infrastructure designed specifically for sub-second model inference.

Solution

Automated alert system

Configurable alert thresholds and intelligent grouping to reduce noise while capturing important anomalies

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Real-Time Analytics

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Get started today

Reach out and we show you how GlassFlow interacts with your existing data stack.

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