Artificial intelligence is transforming the IT sector and taking technological progress to new heights. AI is no longer limited to automating repetitive tasks; it is now integrated into every aspect of IT infrastructure, including cloud management, cybersecurity, software development, and network optimization. AI-powered tools can detect anomalies before system failures, automatically address vulnerabilities, and even assist developers with code generation and review. This results in fewer outages, faster deployments, and a more robust and secure digital infrastructure for businesses. As organizations undergo digital transformation, AI empowers IT teams to stay ahead of the curve by building smarter, adaptive systems that can evolve to meet future demands.
That’s what Incident.io is here for.
Incident.io was created by Stephen Whitworth, Pete Hamilton, and Chris Evans, due to their frustrations with existing incident response systems. The founders, former employees of the digital bank Monzo, experienced the shortcomings of traditional incident response tools firsthand. These tools were cumbersome, processes were disorganized, and there was little opportunity to learn from past incidents. They realized that engineering teams needed a better solution.
Born from the Fire
In 2021, in a repurposed fire station in London, they founded the company to build the platform they had always wished for. Since then, the company has become a critical tool for over 250,000 incidents and is now trusted by top-tier engineering teams at companies like Netflix, Etsy, OpenAI, and Airbnb.
Staff Site Reliability Engineer at Netflix, Hank Jacob said “What I love about incident.io is how simple, jolly, and less intimidating it makes the response.”
Incident.io delivers updates weekly and operates with extreme proximity to its customers. This relentless, customer-centric mindset has helped it earn the trust of engineering teams globally.
In March 2024, the company launched its third major product, On-call, a direct response to customer frustration with outdated tools like PagerDuty and Opsgenie. Within a year, nearly two-thirds of customers migrated from legacy systems, a shift expected to accelerate as Opsgenie phases out.
Incident.io uses AI to streamline the entire incident management lifecycle, acting like a smart teammate for engineering teams. Its AI agents help detect issues early, identify root causes, and even recommend fixes Cdramatically reducing time to resolution. Tools like Scribe automate call transcriptions and generate real-time summaries, eliminating the need for manual note-taking. Integrated directly into Slack, the platform coordinates responses, assigns roles, and keeps stakeholders informed.
$62 Million to Power the Next Era
In a major milestone for the future of developer operations and site reliability engineering, Incident.io has announced a $62 million Series B funding round, bringing its total raised to over $96 million. The round was led by Insight Partners, with continued support from Index Ventures and Point Nine Capital, all betting on the startup’s vision of reimagining incident management for the age of artificial intelligence. Incident.io has secured over $96 million in funding, including their most recent investment round.
Insight Partners’ Thomas Krane, whose firm has previously backed tech giants like Wiz and Databricks, led the round and joins Incident.io’s mission to bring agentic AI into incident management. With the fresh capital, the company is planning to scale up its AI capabilities and expand its global go-to-market team, including Sales, Customer Success, and Marketing.
Incident.io’s mission is to empower engineering teams to respond rapidly and effectively to software failures in an increasingly software-driven and AI-powered world. By developing an AI-powered incident responder that functions as a skilled and seasoned teammate, the startup is establishing a new benchmark for reliability. With $62 million in fresh funding, incident.io is poised to lead the way in ensuring dependable software in the digital age.