Cloud operations are becoming harder to manage as startups scale.
What starts as a handful of services quickly turns into distributed systems generating massive volumes of logs, metrics, and alerts. For engineering teams, that often leads to alert fatigue, slower incident response, and more time spent investigating issues instead of building product.
Neubird AI is tackling this challenge with a new approach to agentic AI.
Through Microsoft for Startups, Neubird AI is helping teams move beyond traditional observability toward AI-powered incident investigation, using Microsoft Foundry to turn telemetry into clear, actionable answers in real time. Instead of stitching together signals across tools, teams can quickly identify root cause, reduce downtime, and scale operations more efficiently. to turn telemetry into clear, actionable answers in real time.
Instead of stitching together signals across tools, teams can quickly identify root cause, reduce downtime, and scale operations more efficiently.
The cloud operations challenge: Too many alerts, not enough answers
Most teams don’t struggle with a lack of data. They struggle with what to do with it.
As systems grow more distributed, engineers face an explosion of alerts, fragmented tooling, and hidden dependencies that are difficult to correlate. What worked early on quickly breaks down at scale, making it harder to respond quickly or operate efficiently.
For Goutham Rao, co-founder of Neubird AI, this problem was clear from years of building and operating enterprise systems.
We saw how difficult it is to keep these systems up and running and actually be able to innovate. When problems happen, you have to solve them very quickly. Downtime is very expensive for companies.
Goutham Rao, co-founder, Neubird AI
Many teams invest heavily in observability but underestimate the importance of investigation. The result is slower incident response, more engineers pulled into every issue, and increasing pressure as expectations for uptime and performance continue to rise.
From observability to AI-powered incident investigation
Neubird AI’s approach starts with a simple idea: collecting telemetry is not enough. The real challenge is turning that data into clear answers during an incident.
Its Production Ops Platform, built on Azure and Microsoft Foundry, analyzes telemetry across logs, metrics, events, and recent changes to generate a clear, evidence-based explanation of what’s happening in real time.
What makes this approach different is its focus on precision.
There’s a huge difference between an almost correct answer and a correct answer. Being almost correct doesn’t get you anywhere in the space we’re in because you have to prove you have the answer with 90% or better confidence.
Goutham Rao, co-founder, Neubird AI
To achieve this, Neubird AI developed its own approach to context engineering, ensuring models have the exact context needed to reason accurately and consistently.
During an incident, this means teams no longer have to jump between dashboards or manually stitch together signals.
If an application slowdown occurs, Neubird AI can correlate signals across services, identify a recent database configuration change as the likely root cause, and trace the downstream impact across dependent systems. It then recommends next steps, such as rolling back the change or routing the issue to the appropriate team.
The result is a shift from reactive troubleshooting to guided investigation, where teams can move from detection to resolution in minutes.
Why agentic AI is reshaping cloud operations
Production environments have reached a level of scale and complexity that humans alone can no longer manage efficiently.
At the same time, advances in AI now make it possible to reason across large volumes of operational data in real time. This is what makes agentic AI especially relevant today.
Instead of acting as a passive assistant, Neubird AI’s system actively investigates, correlates signals, and helps guide decisions. It transforms raw telemetry into actionable insight, allowing teams to focus on higher-value work rather than repetitive analysis.
Reducing incident response time with AI
For enterprises, this shift is not just about efficiency. It directly impacts uptime, customer experience, and engineering productivity.
In one case, a large banking customer used Neubird AI to reduce incident investigation time by 60%1. By automatically correlating telemetry across infrastructure events, performance metrics, and historical patterns, teams were able to identify root cause faster and act with greater confidence.
More broadly, Neubird AI helps eliminate manual log correlation, surface risks proactively, and reduce the number of engineers needed per incident. The result is faster resolution and more time for teams to focus on building.
Built on Azure for scalable cloud operations
Neubird AI’s platform is built on Azure and Microsoft Foundry, which power the intelligence layer behind its Production Ops Agent.
By integrating with services like Azure Monitor, Neubird AI can securely access telemetry without requiring teams to re-platform or duplicate data. This allows it to deliver a unified operational view across distributed systems while maintaining enterprise-grade security and scalability.
For startups and enterprises alike, this means they can adopt AI-powered operations within the environments they already trust.
Scaling faster with Microsoft for Startups
Neubird AI’s growth has been supported through Microsoft for Startups, which has provided access to startup credits, technical resources, and go-to-market opportunities.
For Rao, the partnership has extended beyond infrastructure.
The whole team has been nothing but supportive. We can reach out to whoever we want, and that’s never been a problem, either getting help meeting people within Microsoft or outside of Microsoft.
Goutham Rao, co-founder, Neubird AI
Microsoft’s ecosystem, including Microsoft Marketplace and co-sell programs, has helped Neubird AI connect with enterprise customers and accelerate adoption.
What startup founders should know about cloud reliability
Neubird AI’s story highlights an important shift for startups building on Azure: reliability cannot be an afterthought.
As systems scale, the ability to quickly investigate and resolve issues becomes just as critical as shipping new features. Teams that invest early in reducing operational complexity and speeding up incident response will be better positioned to grow.
Start building with Microsoft for Startups
Neubird AI is part of a growing wave of startups using AI to solve complex, real-world problems in production environments.
If you’re building with AI or scaling your infrastructure, Microsoft for Startups gives you access to startup credits, technical guidance, and the tools you need to build fast, scale smart, and reach customers.
Apply for Microsoft for Startups now.
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1 Reported by Neubird AI based on a customer case study.
