NeuBird AI announced a $19.3 million funding round alongside the launch of Falcon, an autonomous production operations agent designed to predict and prevent software infrastructure failures. The three-year-old startup aims to shift IT teams from reactive incident response to proactive incident avoidance.

The company released findings from its 2026 State of Production Reliability and AI Adoption Report, surveying over 1,000 professionals. The study revealed a significant disconnect between leadership and practitioners: while 74% of C-suite executives believe their organizations actively use AI for incident management, only 39% of engineers agree. Engineering teams currently spend an average of 40% of their time on incident management rather than product development.

Falcon represents an upgrade from NeuBird's previous Hawkeye system, offering three times faster performance and averaging 92% confidence scores in its predictions. The system can forecast potential failures with high accuracy in 24-72 hour windows and includes an Advanced Context Map that provides real-time visualization of infrastructure dependencies and service health.

The platform addresses security concerns through what the company calls "context engineering," where large language models never directly access sensitive data. Instead, NeuBird acts as a gateway that wraps and controls data access while maintaining the AI's reasoning capabilities. The system also includes strict guardrails that prevent execution of anomalous or unknown commands.

NeuBird also launched FalconClaw, a skills hub designed to capture and operationalize "tribal knowledge" from senior engineers. The tech preview includes 15 initial skills that work with NeuBird's toolchain, allowing teams to convert expertise into reusable assets for AI automation.

The funding round was led by Xora Innovation, a Temasek-backed firm, with participation from Mayfield, M12, StepStone Group, and Prosperity7 Ventures, bringing NeuBird's total funding to approximately $64 million. The company claims its agent can save enterprise teams more than 200 engineering hours per month, with organizations estimating that single-hour downtimes cost $50,000 or more.