Heal Software Inc
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HEAL Software Inc. has pioneered HEAL, a preventive healing software for IT operations that goes beyond current AI-driven APM and monitoring tools. Unlike traditional tools that only alert when problems arise, HEAL proactively identifies "signals" that indicate potential issues, preventing incidents before they occur. By utilizing unsupervised AI, HEAL learns system behaviors under normal conditions, establishing a dynamic baseline that enables it to detect emerging problems. This predictive capability helps ITOps teams address smaller issues early, ensuring minimal disruptions and maintaining system health. HEAL's platform offers advanced features such as intelligent observability, real-time performance data analysis, and context-aware forensics to simplify troubleshooting. It integrates seamlessly with over 100 technologies and provides flexible APIs for incident management and automation. The software’s Real Cause Analysis (RCA) engine goes beyond traditional monitoring tools by leveraging metrics across domains, offering deeper insights into the root causes of issues. HEAL also includes auto-healing features like workload throttling and predictive capacity insights, enabling organizations to mitigate risks before they impact operations. With multi-deployment options and robust business application support, HEAL ensures comprehensive, proactive IT management.
Hourly Rate(INR):
NA
Budget(INR):
NA
Hourly Rate(USD):
< $25
Budget(USD):
$1000+
Employees:
50-249
Headquarters:
San Clemente, United States
Established:
2020
Services Provided
HEAL offers multi-functional APIs for seamless integration with platforms like ITSM for incident management and automation solutions for auto-remediation, enhancing overall system efficiency and proactive problem resolution.
HEAL delivers real-time data analysis powered by advanced AI, automatically detecting anomalies to ensure proactive problem identification and resolution.
HEAL’s AI can rapidly build baselines using transfer learning, enabling quick adaptation to system changes and enhancing the accuracy of anomaly detection.
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