InsightFinder, a Durham, NC-based Unified Intelligence Engine (UIE) platform that provides human-centered AI solutions for identifying incident root causes and predicting and preventing production incidents, announced that it raised $10 million in Series A funding.
Silicon Valley Future Capital led the round, with participation from Yu Galaxy, Acadia Woods Partners, Eight Roads Ventures, Eastlink Capital, Fellows Fund, IDEA Fund Partners, and Triangle Tweener Fund.
InsightFinder will use the new funding to grow its team and enhance its industry-leading IT incident prediction and prevention technology to serve its expanding customer base better.
On September 1, 2022, the company relocated its headquarters to a new Research Triangle Park (RTP) building to accommodate its rapidly expanding team.
InsightFinder supports AWS, Google Cloud Platform, and Microsoft Azure clouds, as well as on-premise and hybrid-cloud customer environments. InsightFinder aggregates and analyzes real-time streaming logs, metrics, traces, and other heterogeneous machine data across developer, security, and operations (DevSecOps) and site reliability engineering (SRE) workflows.
InsightFinder offers pre-built integrations with Datadog, Elastic, New Relic, PagerDuty, Prometheus, ServiceNow, and other popular tools for IT operations management (ITOM) and IT service management (ITSM).
Company: InsightFinder Inc.
Round: Series A
Funding Month: September 2022
Lead Investors: Silicon Valley Future Capital
Additional Investors: Yu Galaxy, Acadia Woods Partners, Eight Roads Ventures, Eastlink Capital, Fellows Fund, IDEA Fund Partners, and Triangle Tweener Fund
Company Website: https://insightfinder.com/
Software Category: AI-based Incident prediction and prevention
About the Company: InsightFinder is the industry's first system of intelligence for IT operations that predicts incidents hours before they occur. The company's patented anomaly detection algorithms use unsupervised machine learning to automatically identify, diagnose, and remediate issues from logs, metrics, and traces. DevSecOps, IT operations, and site reliability engineering (SRE) teams rely on InsightFinder to predict and prevent outages in complex distributed architectures. Powered by unique patented capabilities for incident prediction, unsupervised active machine learning, and pattern-driven auto-remediation, the InsightFinder platform continuously learns from machine data to identify and fix problems before they impact web or application performance. InsightFinder's mission is to make the world's digital infrastructure more reliable so every person on the planet can lead better lives enriched by technology.