NeuBird AI launches ops agent, raises USD $19.3 million

NeuBird AI has launched an autonomous production operations agent and introduced a new engine, NeuBird AI Falcon.

The release expands the company's platform beyond incident response into preventive risk detection and infrastructure optimisation across cloud, on-premises and hybrid environments. NeuBird AI also announced USD $19.3 million in new funding led by Xora Innovation.

The system is aimed at platform, Site Reliability Engineering and DevOps teams managing increasingly complex production environments. It includes Preventive Risk Insights to flag risks before alerts are triggered, an Advanced Context Map that shows infrastructure dependencies and service health in real time, and a desktop tool that lets engineers call the agent directly from a command-line interface.

Another part of the launch is FalconClaw, a preview of a skills hub designed to capture operational knowledge and turn it into reusable workflows. FalconClaw is compatible with the OpenClaw ecosystem and launched with 15 skills built for NeuBird AI's own toolchain.

Tooling strain

Alongside the product announcement, NeuBird AI released findings from its State of Production Reliability and AI Adoption Report, which highlights the strain on engineering teams handling live incidents. The research found engineers spend 40% of their time on incident management rather than product development.

It also found that 83% of organisations use four or more tools during a live incident. Meanwhile, 44% had experienced an outage tied directly to ignored or suppressed alerts, while 78% reported at least one incident in which no alert fired at all.

Those figures reflect a broader problem in modern operations, where telemetry, incident data and remediation steps are often spread across different systems. Engineers may need to move between dashboards, ticketing systems, cloud consoles and messaging tools to determine what has gone wrong and what to do next.

NeuBird AI said its agent is designed to work with existing operations processes rather than replace them. Teams can use it to identify systemic risks before failures affect services, investigate root causes and automate remediation through coding agents already used by engineering teams.

Gou Rao, Co-Founder and Chief Executive Officer of NeuBird AI, said the product was built to address the limits of general AI systems in production operations.

"AI adoption in enterprise operations has accelerated, but existing AI solutions lack the operational context and domain expertise required to deliver reliable outcomes," said Rao.

He said the system combines real-time enterprise context with operational knowledge to guide decisions in production environments. That approach is intended to reduce the risk of poor outputs from large language models operating without enough technical context.

Rao framed the operational challenge around incident detection and response across growing infrastructures.

"Production issues often go undetected until they impact services. Platform, SRE and DevOps teams need the ability to anticipate problems before they happen, across organizations of all sizes. NeuBird AI enables teams to see around corners, identify risks ahead of impact, prevent incidents before they affect services and resolve incidents in minutes. We deliver an AI teammate that production teams can actually trust. This is the future of enterprise production operations," said Rao.

Customer view

NeuBird AI also included a customer account from Bedrock Analytics, where the product has been used in a lean engineering setup without a dedicated operations function.

"As our infrastructure scaled, so did the complexity of running production operations," said Navdip Bhachech, SVP Engineering at Bedrock Analytics. "With a lean engineering team and no dedicated ops function, having an always-on, 24/7 production ops agent has been critical. We're able to resolve incidents faster, reduce alert fatigue and toil and are now starting to prevent issues before they impact production."

The desktop application lets engineers trigger investigations and fixes from the command line. It can also be used to build workflows that connect the agent's analysis to remediation steps, runbook updates and internal change processes.

Francois Martel, Field CTO at NeuBird AI, said FalconClaw is intended to formalise operational knowledge that often exists only within teams.

"Operations teams have deep tribal knowledge about how their systems fail and how to fix them," said Martel. "FalconClaw lets them encode that knowledge into skills that NeuBird AI uses automatically. It turns every team's hard-won expertise into a reusable, shareable asset."