AlertD has emerged from stealth with the launch of its AI-driven SRE and DevOps platform and the announcement of $3 million in pre-seed funding led by True Ventures partner Puneet Agarwal. The San Francisco Bay Area startup aims to redefine how engineering teams manage cloud operations by introducing specialized AI agents that instantly surface AWS insights, reduce operational toil, and provide verifiable system visibility through a natural-language interface.
Founded in 2024 by industry veterans Geoff Hendrey and Freddy Mangum, AlertD was created in response to the growing complexity of cloud environments and the limitations of traditional observability and monitoring tools. With backgrounds at Cisco, Splunk, AppDynamics, Fortinet, and early cybersecurity and enterprise technology ventures, the founders designed AlertD to provide SRE and DevOps teams with a more intuitive, context-rich view of their AWS environments, enabling collaboration and faster decision-making.
The company’s platform pairs large language models with structured operational data to deliver instant visibility across AWS resources, metrics, and system health. The architecture is cloud-, LLM-, and SDLC-agnostic, supporting proactive and reactive use cases that span security, compliance, cost optimization, troubleshooting, account visibility, and infrastructure ownership. Users can query complex cloud environments in plain language, verify data sourced by AI agents, and share insights across teams.
AlertD’s design partners include mid- to large-sized enterprises with established SRE and DevOps functions. These collaborations have created a platform designed to automate manual tasks, enhance uptime, and provide leadership teams with real-time operational clarity. The company’s name draws inspiration from Unix daemons, reflecting its vision of AI agents that work continuously in the background to support cloud operations teams.
The platform offers a wide range of capabilities, including secure VPC deployment options, LLM provider flexibility, advanced AWS search features, operational transparency into agent reasoning, and collaborative workflows for sharing queries and insights. By functioning as an extensible multi-purpose environment rather than a narrowly scoped AI debugger, AlertD aims to complement existing AI solutions and become a consistently used tool during production operations.
KEY QUOTES:
“I have decades of experience working with some of the most powerful observability tools in the industry. While these legacy tools delivered rich instrumentation, they still required extensive manual setup to configure alerts that might serve as early indicators of production issues. But as application development velocity has accelerated—and with the rise of complex microservices architectures—SRE and DevOps teams are now struggling to keep up with the scale and demands of maintaining production uptime.”
Geoff Hendrey, Co-Founder and CEO, AlertD
“Geoff and Freddy bring a rare combination of technical depth and go-to-market instinct, shaped by decades of experience with some of the most widely used observability, monitoring, analysis and cybersecurity platforms in the industry. With AlertD, they’re applying LLMs in a way that has real potential to change how SRE and DevOps teams work day to day, bringing clarity and speed to some of the most demanding moments in software operations.”
Puneet Agarwal, Partner, True Ventures
“With 19 years in the industry, I lead one of the most talented SRE and DevOps teams out there. Yet even with great people, the demands we face have outpaced what we can solve by simply adding headcount.
“SREs and DevOps spend nearly 50% of their time on low-value work—not due to inefficiency, but because today’s tooling for managing production uptime is overly complex while our environments continue to scale. I want my people focused on high-value work, which is why we’re helping shape what an optimal AI-native tool for SREs and DevOps should look like.
“The time to embrace AI agents in SRE and DevOps is now. Just as developers have adopted AI co-pilots to accelerate coding, we must adopt intelligent automation to improve uptime. Despite the noise in the AI tooling space, few solutions truly address the breadth of needs our teams face. That’s why we partnered with AlertD—their deep expertise and vision for transforming SRE and DevOps workflows makes this a tool our team will rely on daily for both proactive and reactive operations.”
Ryan Raines, Sr. Director of DevOps, Privateer
“Today’s cloud operations are overwhelmed by noise and manual toil. The volume and velocity of work demands and ticket queue outpace human capacity to drive fast, effective outcomes.”
“Specialized AI SRE and DevOps agents are the natural next step—operating 24/7 on behalf of cloud operations teams to filter noise, synthesize complex data across systems, and surface actionable, contextual insights within seconds. While many incumbents are introducing AI agents, most remain to reactive use cases.
“In contrast, AlertD is a multi-purpose, multi-environment–agnostic platform designed to complement and extend existing AI solutions. Just as GitHub Copilot, Cursor, or Claude enhances developer productivity during the build phase, AlertD empowers teams during the run and production phase. Our vision is to make AlertD the ‘Slack for production uptime’—an indispensable tool that gives cloud operations teams the confidence and clarity to manage infrastructure at scale.”
Freddy Mangum, Co-Founder and COO, AlertD
