The BigPanda IT Knowledge Graph

Harness all of your siloed, hidden data. Eliminate blind spots and drive smarter insights, actions, and automations.

Connect data, teams, and informal knowledge for resilient ITOps

The BigPanda IT Knowledge Graph unifies siloed and fragmented data, systems, and communications to enable powerful, agentic IT operations and automation.

Rethink your IT data strategy

Traditional IT data strategies use highly structured data, like CMDB and observability events, to power rigid rules and static workflows. This approach omits most of the data that actually holds insights, such as historical context, human experience, and enterprise knowledge.

AI changes the game. It doesn’t require highly structured inputs, and can leverage all your messy, scattered data. The BigPanda IT Knowledge Graph is purpose-built to enable an AI-first data strategy by capturing your siloed and fragmented data and using it to power insights and automation.

Eliminate blind spots and missed signals

Connect machine data such as observability, CMDB, and changes with enterprise knowledge and AI-sensing. Eliminate data siloes and give your teams comprehensive visibility into all the information they need to make smart decisions.

The BigPanda IT Knowledge Graph delivers comprehensive visibility into incidents, including dependencies, changes, and inferred business and service relationships.

Prioritize signals based on business service impact to ensure the most critical incidents are triaged and resolved first.

Prioritize actions by business impact

Correlate IT signals with service and revenue impact to ensure critical incidents are triaged and resolved first, and prevent noise from overwhelming response teams.

Deliver smart, adaptive automation for ITOps

Move beyond inflexible, rules-based workflows with agentic AI agents that learn, adapt, and automate actions based on live context rather than static scripts or predefined triggers.

Streamline IT operations with agentic AI agents that learn, adapt, and automate actions based on live context rather than static scripts or predefined triggers.

Capture informal knowledge and transform it into easily accessible institutional knowledge to scale expertise without adding headcount.

Scale expertise without additional headcount

Capture and transform informal knowledge across teams, tickets, and collaboration history into enduring institutional knowledge that can be harnessed for insights and automation across all teams.

Gain rapid situational awareness

and critical visibility

“Not only can we see the alerts, but we can evaluate them using correlation that recognizes patterns, connects alerts, and leads to fewer incidents.”

Dan Bartram

Head of Automation and Monitoring
Gamma Communications

“Centralizing our operations with BigPanda gave us a much earlier mean time to detection and a head start to resolve operational incidents.”

Alvin Smith

Vice Present, Global Infrastructure and Operations
IHG Hotels & Resorts

FAQ

How does BigPanda handle unique environments?

BigPanda adapts to each organization’s data, tools, and language using a flexible IT Knowledge Graph to deliver intelligent customization that fits your operations without requiring rigid templates.

Can my organization leverage AI even with messy or incomplete data?

The IT Knowledge Graph continuously learns from your operational data, including messy, incomplete legacy sources and tacit knowledge from your team’s workflows. With human-in-the-loop feedback, organizations can gradually evolve from legacy approaches to AI-powered operations at their own pace, reducing disruption and increasing trust.

How does the IT Knowledge Graph support continuous improvement?

BigPanda continuously learns from your data, operator behavior, and feedback. As your environment changes, our AI adapts—refining correlation logic, surfacing better automation opportunities, and capturing evolving team knowledge. This IT Knowledge Graph creates a virtuous cycle where incident response, investigation, and prevention get smarter over time without constant reconfiguration.