Stop DataOps firefighting with 
self-healing pipelines

As enterprise data platforms grow, operational complexity often becomes the biggest barrier to delivering new data initiatives. Pulse applies an Agentic DataOps approach to automate monitoring, root cause analysis, remediation, and alerting across existing data platforms.
  • Agentic DataOps methodology refined across engagements
  • LLM-assisted root cause analysis and automated remediation
  • Business-friendly alerts delivered directly to inboxes

BUSINESS SCENARIO

Is DataOps becoming a bottleneck for your team?

When incident response starts eating into the roadmap, engineering teams have less time to build new capabilities. Pipeline failures can also become business-facing issues when teams discover broken dashboards before the underlying data problem is identified.
At the same time, rising runtime costs and slow dashboards can make it difficult to understand where platform performance and spend need attention.
Operational firefighting: Engineering teams spend significant time monitoring, troubleshooting, and responding to pipeline incidents.
Pipeline reliability: Data issues reach business dashboards before the data team identifies the underlying failure.
Cost and performance pressure: Rising runtime spend and slow dashboards make platform optimization difficult without better operational visibility.

WHAT WE DO

Agentic DataOps for more reliable data operations

TO THE NEW brings Agentic DataOps to existing data platforms through Pulse, our Agentic DataOps engine. It monitors pipelines, classifies failures, identifies root causes, and automates remediation for common issues.

Organizations can adopt the full capability or focus on specific operational priorities:

WHY TO THE NEW

Go beyond monitoring with Agentic DataOps

TO THE NEW combines a defined Agentic DataOps method with LLM-assisted analysis and remediation, helping organizations address operational issues beyond simply generating alerts.
Traditional approachTO THE NEW approach
Teams manually investigate pipeline failuresAI-assisted root cause analysis accelerates issue resolution
Monitoring generates alerts that require manual actionAutomated remediation resolves common failures without manual intervention
Business users discover issues after dashboards breakBusiness-friendly alerts notify stakeholders proactively
Operational improvements depend on additional engineering effortAgentic DataOps provides a repeatable operational approach refined across engagements

FAQS

What is Agentic DataOps?

Agentic DataOps combines observability, AI-assisted root cause analysis, automated remediation, and operational intelligence to help enterprises improve data platform reliability while reducing manual operational effort.

How is Pulse different from traditional monitoring tools?

Traditional monitoring primarily identifies issues and generates alerts. Pulse combines observability with LLM-assisted root cause analysis, automated remediation, business-friendly alerts, and cost and performance intelligence to help reduce operational effort.

Can Pulse work with our existing data platform?

Yes. Pulse integrates with existing data platforms to improve operational reliability without replacing the underlying infrastructure.

What operational capabilities does Pulse include?

Pulse offers five delivery areas: Data Platform Observability, AI-Powered Root Cause Analysis, Automated Remediation, Business-Friendly Alerting, and Cost & Performance Intelligence. Organizations can adopt the complete solution or individual capabilities based on their priorities.

Can organizations adopt only part of the solution?

Yes. The five delivery areas can be implemented together or individually, allowing organizations to address immediate operational priorities while expanding capabilities over time.

How does Agentic DataOps improve engineering productivity?

By automating monitoring, root cause analysis, and remediation for common operational issues, Agentic DataOps helps engineering teams spend less time responding to incidents and more time delivering new data initiatives.

What business challenges does Pulse help address?

Pulse helps organizations reduce operational overhead, improve pipeline reliability, gain visibility into platform costs and performance, and identify issues before they affect business users.