BigPanda
Agentic AI platform for enterprise IT operations, incident detection, response, prevention, and L1 automation.
About BigPanda
BigPanda is an agentic AI platform for enterprise IT operations and IT service management teams. It brings monitoring and observability events into an event intelligence workflow, reduces noise, enriches incidents with context, and helps responders move from investigation to action. Its platform covers AI Incident Prevention, AI Detection and Response, L1 Agent automation, and AI Incident Assistant capabilities. Teams can use it to assess change risk, discover recurring problems across incident history, triage incoming events, coordinate response, recommend remediation, and automate selected operational actions. Documentation also covers event, incident, change, and problem management, integrations, analytics, configuration, and release information. BigPanda is sold as an annual subscription using a shared pool of universal credits across products. Usage is metered by product-specific events, so buyers should estimate processed events, actioned incidents, assessments, analyses, recommendations, and automated actions before requesting a quote.
Best for
Best use cases
Correlating monitoring events and reducing alert noise
Coordinating investigation and remediation during incidents
Automating repetitive L1 routing, suppression, and response work
Compare before choosing
Shared credits simplify budgeting across products but require usage forecasting
Custom quotes suit enterprise procurement but prevent quick public price comparison
Broad ITOps coverage can reduce tool switching but adds implementation and integration work
Features
Reduce alert noise
Ingest events from monitoring and observability tools, correlate them, and surface incidents that require action.
Accelerate incident response
Enrich incidents with context, coordinate responders, and recommend remediation steps.
Automate L1 operations
Use agent recommendations and actions for routing, suppression, investigation, and selected resolution tasks.
Pros
- Shared credits cover multiple platform products and support unified annual budgeting.
- Event correlation and AI enrichment can reduce manual triage and repeated investigation.
- Documentation spans integrations, analytics, and core event, incident, change, and problem workflows.
Cons
- Custom pricing means teams must contact sales before comparing total cost.
- Usage-based credits require forecasting several different metering events.
- Enterprise deployment may require substantial integration and workflow configuration.
Pricing Plans
Enterprise subscription
- AI Incident Prevention
- AI Detection and Response
- L1 Agent
- AI Incident Assistant
- Product-specific usage metering
* Pricing information is for reference only. Please refer to the latest announcement on BigPanda's official website.