Continuous
model observability

Everything you need to keep your ML healthy in production

Customized ML monitoring

Easily create alerts with Superwise’s ML monitoring policy templates and builder. Select from dozens of pre-build monitors ranging from data drift to equal opportunity, or customize policies to incorporate your domain expertise.

Root cause investigation

Resolve problems quickly with incident investigations that correlate and group anomalies to deliver a big-picture overview of why models are misbehaving. Giving you everything you need to quickly pinpoint casualty and resolve issues before they impact your business.

Model optimization

Optimize your models with production observability insights to identify retraining opportunities and strategies, underperforming segments, and biases in ML decision-making processes.

Works with your existing stack

Any model

Any platform

Any workflow

End–to–end
ML visibility

Easily monitor and observe your entire model inference flow and ML decision-making process

Observe everything in the monitoring lifecycle

Built in security

Enterprise grade model observability to organizations of all sizes

SOC 2 TYPE 2

SOC 2
TYPE 2
certified

SAML

SAML
login

OAUTH

OAuth
protected
login

No persistent raw data

No persistent
raw data

Multi Factor Authentication

Multi Factor
Authentication

GDPR compliant

GDPR
compliant

Full TLS based communication

Full
TLS based
communication

Encrypted at rest

Encrypted
at rest

See what Superwise can do for you

Try Superwise out or contact us to learn more.

Featured resources

Webinars

A guide to putting together a continuous ML stack

Back by popular demand! Let’s take a dive into MLOps CI/CD + CT pipeline automation. In part 1, we’ll focus on how to put together a continuous ML pipeline to train, deploy, monitor, and retrain your models. Part 2 will focus on automations and production-first insights to detect and resolve issues faster.
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PRs

Superwise Model Observability Platform Joins the Datadog Marketplace

NEW YORK, March 21, 2022 — Superwise, the leading model observability platform built for high-scale ML operations, today announced a new integration with Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications. The integration is now generally available and new customers investing in ML operations can find Superwise licenses in the Datadog…
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Blog

Show me the ML monitoring policy!

Model observability may begin with metric visibility, but it’s easy to get lost in a sea of metrics and dashboards without proactive monitoring to detect issues. But with so much variability in ML use cases where each may require different metrics to track, it’s challenging to get started with actionable ML monitoring.  If you can’t…
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