The Monitoring Platform for Machine Learning

Configure advanced production monitors more quickly than you ever imagined you could. Get the info you need about concept drift, data integrity issues, and retraining insights.

The Monitoring Platform
for Machine Learning

Model Activity
Prediction Drift
Data Drift
Missing Values
New Values
Value Range

Configure advanced production monitors more quickly than you ever imagined you could. Get the info you need about concept drift, data integrity issues, and retraining insights.

ML monitoring is important.
Here’s why.

Even the best models tend to fall out of fit over time due to inherent bias, data integrity issues, or real-life changes. The gradual nature of model drift often delays detection. With Aporia, you will create high-quality monitors that perfectly match your models and identify issues way before your customers do.

Set

Build advanced monitors that precisely fit your models, cases, and data. Easily refine and update, to keep monitors aligned as your models evolve.

Detect

Rest easy, assured that issues will be detected as they arise. Better control of false positive alerts means better response when real issues occur.

Alert

Keep your team well informed, with relevant alerts and sharp insights about their models and the business at large, delivered via their choice of channels.

Build the monitors
your model needs

Models can fall out of whack in myriad ways. Data can change or simply diverge from modeling sets. Or the world your model describes can shift just a tad on its axis, causing far-reaching ripple effects.

Aporia’s rich catalog of monitors helps you cover the full range of models, data, and reality factors, so the monitors you build can continue to highlight the precise issues that matter for your business, and slippage is caught as soon as it hits.

Build ML monitors that
data scientists value

Aporias’s easy integration, straightforward visual interface, and strong, super-flexible alert engine transform production monitor building from a tedious context-switching task into a valuable and accessible experience.

Why waste time on complicated integrations that rely on access to others’ data? Say “good riddance” to adapting to change updates and maintenance events that are beyond your control. With Aporia, data scientists can focus on alert configurations, and tweak them as needed without depending on others.

Secure your data with our
managed on-prem architecture

Aporia’s ‘managed on-prem’ architecture is designed to enable your data to remain fully within your environment — and your control — at all times.

Additional security features include end-to-end encryption, with data encrypted both in transit and at rest, SSO support, SDK security practices, and an audit log for cluster/application access.

Are you ready to plug and play?