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What is SignifAI?

This solution enhances incident management for active SRE and DevOps teams by merging their expertise with advanced AI and machine learning capabilities. It incorporates a correlation engine aimed at optimizing the processes within DevOps and Site Reliability Engineering. By automatically correlating, aggregating, and prioritizing alerts, it ensures your attention is directed toward the most pressing issues. Problems can be swiftly tackled with predictive insights and automated suggested resolutions. Furthermore, it enriches incidents with all necessary logs, events, and metrics relevant to any given timeframe, fostering a deeper understanding of the events. This cutting-edge approach not only improves operational efficiency and responsiveness but also equips teams with the tools to adapt quickly to changing circumstances. In an increasingly dynamic environment, this solution serves as a vital resource for maintaining high performance and reliability.

What is OpsWorker?

Modern digital businesses rely on highly distributed cloud-native systems where even small incidents can impact revenue, customer experience, and engineering productivity. As infrastructure complexity grows, resolving production incidents requires correlating signals across multiple tools, services, and teams. OpsWorker helps technology and business leaders reduce operational risk, accelerate incident resolution, and enable engineering teams to focus on innovation instead of firefighting. Resolve production incidents and development issues with AI that understands your code, infrastructure, and telemetry — reducing MTTR by up to 80% and boosting engineering productivity by 50%. OpsWorker helps Software Developers, SREs, and DevOps Engineers reduce MTTR, resolve complex development issues, and manage high-incident environments. Through intelligent incident correlation, code-aware troubleshooting, and deep integration into your technical ecosystem, OpsWorker delivers actionable insights and autonomous remediation — ensuring resilient, high-performance operations across Kubernetes and Cloud workloads. Built as an AI SRE platform for modern AIOps, OpsWorker leverages AI Observability to analyze incidents across distributed systems, correlating signals from metrics, logs, traces, infrastructure state, and deployments to surface the most probable root cause within minutes. Designed with an EU-first approach, OpsWorker prioritizes data sovereignty, privacy, and enterprise-grade security while enabling engineering teams to investigate incidents faster and operate complex cloud-native environments with confidence. Recent platform capabilities include Resource Topology and Service Dependency mapping, providing full visibility into upstream and downstream service interactions across HTTP, TCP, and gRPC workloads. OpsWorker integrates with Grafana Alerting contact points and supports Bring Your Own LLM, enabling organizations to use their preferred AI models.

Media

Media

Integrations Supported

Zenduty

Integrations Supported

Amazon CloudWatch
Amazon EKS
Azure Kubernetes Service (AKS)
Claude
Grafana Cloud
Kops.dev
Kubernetes
OpenAI
Prometheus
Slack

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Prices depend on the contract, support level, and number of investigations/tokens used
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

New Relic

Company Location

United States

Company Website

www.signifai.io

Company Facts

Organization Name

OpsWorker AI

Date Founded

2025

Company Location

Germany

Company Website

www.opsworker.ai

Categories and Features

DevOps

Not specified

Incident Management

Not specified

Categories and Features

Agentic AI

Not specified

AI SRE Agents

Not specified

AIOps

Not specified

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