BigPanda provides an AIOps platform that builds an IT Knowledge Graph to unify monitoring, change, CMDB, and service‑desk data, enabling real‑time alert correlation and automated incident triage. Its agentic AI generates contextual incident summaries, remediation suggestions, and predictive risk scores to automate L1 detection, response, and outage prevention, integrating with existing ITSM and observability tools to reduce MTTR and alert noise.
Funding
$20M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
U+1Founders
Product
Problem
Enterprise IT environments generate massive, fragmented alert streams and lack a unified view of operational data, causing high manual effort for L1 teams, delayed incident response, and frequent service disruptions. This leads to elevated operational costs and reduced service reliability for critical business services.
Solution
BigPanda delivers an AIOps platform that consolidates all operational data into an IT Knowledge Graph, providing a single, dynamic model of dependencies across monitoring, change, CMDB, and service‑desk sources. Agentic AI continuously ingests real‑time signals, automatically correlates alerts, and surfaces actionable insights to automate L1 detection and response. An AI Incident Assistant enriches incidents with contextual summaries, suggested remediation steps, and automated ticket creation, while AI Incident Prevention evaluates change risk and historical patterns to predict and avert outages. The platform integrates with existing ITSM, observability, and collaboration tools, enabling faster triage, reduced mean‑time‑to‑resolution (MTTR), and improved service availability at scale.
Target Audience
The primary customers are enterprise IT operations, incident management, and site reliability engineering teams across industries such as financial services, manufacturing, insurance, managed service providers, and retail.
Features
- IT Knowledge Graph that unifies topology, CMDB, change, and incident data into a searchable graph model for cross‑domain visibility.
- AI Detection & Response engine that de‑duplicates and correlates alerts in real time, reducing alert noise by up to 95 %.
- AI Incident Assistant that generates incident summaries, prioritization, and AI‑suggested remediation actions, and auto‑creates enriched tickets.
- AI Incident Prevention that analyzes change events and historical incidents to identify risk scores and proactively block potential outages.
- Unified Analytics layer that normalizes and enriches data from 200+ sources via the Open Integration Hub (e.g., ServiceNow, Jira Service Management, major monitoring tools).
- Automated Incident Triage and Root‑Cause Analysis using generative AI (Biggy AI) to surface similar incidents and probable causes instantly.
- Workflow automation for notifications, runbook execution, and ticket routing, eliminating repetitive manual tasks.
- Security‑by‑design with role‑based access control, end‑to‑end encryption, and compliance certifications for enterprise deployments.