AI-powered Copilot for SRE teams

Predict outages, automate reliability workflows, and maximize user happiness

Drive proactive workflows   

Predict application and infrastructure outages and take action instead of reacting to emergencies on call.

Improve SRE productivity 

Utilize interactive AI modes to automate reliability workflows, predict outages, and improve observability.

For a SaaS company like ours, reliability has a direct impact on customer satisfaction. OccamsHub enables us to efficiently manage reliability by automating SLO configuration. This helps us address application outage issues before they impact our customers.
Emily Dryden, Director Operations, Qnopy

Watch how our SRE Copilot improves efficiency of SRE teams

Read how it works 

Accelerate your journey to autonomous cloud with SRE Copilot

OccamsHub enables autonomous cloud operations with trained Copilots. These Copilots automate reliability workflows of multi-cloud deployments of distributed applications. They reduce downtime and improve customer experience by predicting outages, automatically identifying correlations, and driving proactive decision making. 

Built as a machine learning and analytics platform, OccamsHub ingests data from various sources and automatically normalizes it, mapping all the complex interactions between services, infrastructure, user journeys, support tickets, customer experience and business data. The result is the rapid development of different Copilots that can be trained to automate various workflows. 

OccamsHub with its AI-powered Copilots drives intelligent automation and goes far beyond traditional APM, Observability and AIOps tools.

Faster decision making 

Site reliability engineering teams

Automate reliability management by automatically setting SLOs, and predicting outages

DevOps teams


Accelerate release cycles with real time error budgets and continuous performance benchmarking

Product leaders


Correlate reliability metrics with  customer satisfaction and other business KPIs to understand impact on user experience