Platform / Agent Context Engine

Agentic Context Engine

The context engineering platform for all production ops workflows. Continuously enriches context with every investigation, enabling AI agents to reason about your entire infrastructure.

Platform Architecture

The context engineering platform for all production ops workflows.

Communication

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NeuBird AI Products

NeuBird AI UIDesktopAny AI Agent

MCP Clients

Cursor / IDEDIY Agent

NeuBird AI Agentic Context Engine

ACP Protocol: Agent Context Protocol
Causal Reasoning
Dynamic Context
Sandboxed Exec
Domain Skills
Alert Intel
Preventative Analysis
Enterprise Production Ops Skills Hub

Context Enrichment Layer

AI continuously enriches each pillar: context deepens with every investigation

Dependencies

Auto-discovered service maps with confidence-weighted edges

MELT+

Metrics, events, logs, traces, enriched with schema and query patterns

Alert Intelligence

Prioritized, correlated clusters with root cause candidates

Enterprise Knowledge

Runbooks, past RCAs, topology, change history

AWS
AWS
Azure
Azure
Datadog
Datadog
Prometheus
Prometheus
ServiceNow
ServiceNow
PagerDuty
PagerDuty
Jira
Jira
GitHub
GitHub
Splunk
Splunk
+ more

Deploy on SaaS, On-prem, or Customer VPC

Core Capabilities

Enterprise Production Ops Skills Hub

Six core capabilities deliver intelligent, autonomous operations.

Causal Reasoning

Automatically identifies cause-and-effect relationships across your infrastructure to pinpoint root causes.

Dynamic Context

Context adapts in real-time as new signals arrive, ensuring agents always have the latest information.

Sandboxed Execution

Safely execute remediation actions in isolated environments before applying to production.

Domain Skills

Pre-built expertise for common production ops scenarios across cloud, databases, and applications.

Alert Intelligence

Correlate and prioritize alerts with root cause candidates, reducing noise by up to 90%.

Preventative Analysis

Proactively identify potential issues before they impact users based on pattern recognition.

Context Enrichment Layer

AI continuously enriches each pillar

Context deepens with every investigation, building a comprehensive understanding of your infrastructure.

Dependencies

Auto-discovered service maps with confidence-weighted edges

  • Automatic service discovery
  • Dependency mapping
  • Confidence scoring
  • Impact analysis

MELT+

Metrics, events, logs, traces, enriched with schema and query patterns

  • Unified telemetry
  • Schema enrichment
  • Query pattern analysis
  • Cross-signal correlation

Alert Intelligence

Prioritized, correlated clusters with root cause candidates

  • Alert correlation
  • Noise reduction
  • Priority scoring
  • Root cause ranking

Enterprise Knowledge

Runbooks, past RCAs, topology, change history

  • Runbook integration
  • Historical RCA learning
  • Topology awareness
  • Change correlation

Your stack, fully understood. No manual mapping, no runbook archaeology.

Ready to build on the Agentic Context Engine?

Whether you're using NeuBird AI products or building your own AI agents, we provide the context layer you need.

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