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incident.io has raised $62 million in Series B funding to expand its AI-driven incident management tools. The platform helps engineering teams respond faster by automating tasks like transcription, summaries, and diagnostics. With growing adoption from companies like Netflix and OpenAI, the company aims to reduce downtime and streamline complex workflows in modern software environments.
$62 Million and a Mission: Why Everyone Is Talking About incident.io
incident.io has raised $62 million in a Series B funding round led by Insight Partners. The round includes continued support from existing investors Index Ventures and Point Nine Capital, bringing the company’s total funding to over $96 million.
Founded in 2021 by Stephen Whitworth, Pete, and Chris—former engineers at Monzo—incident.io set out to improve how modern engineering teams manage operational disruptions. The company started from a converted London fire station and has since processed over 250,000 incidents, positioning itself as a new default in the space.
The capital from this round will be used to accelerate development in AI-powered incident response, expand global sales and customer success teams, and hire across core engineering functions.
From Clunky Tools to AI Agents: The Problem incident.io Solves
During their time at Monzo, the founders experienced frustration with conventional incident management workflows: fragmented tools, inconsistent processes, and limited learning from past incidents. Common setups included PagerDuty, spreadsheets, and disjointed ticketing systems.
incident.io was built to simplify this. It offers a centralized platform with a strong focus on usability, real-time communication, and structured workflows. The goal is to reduce friction and dependency on manual coordination, which typically slows down teams during high-pressure events.
Slack-First, Engineer-Friendly: The Secret to User Adoption
incident.io embedded its platform directly into Slack, enabling incident response to occur inside the same environment where engineering teams already work.
Its interface and functionality emphasize speed and simplicity. The company releases product updates weekly, informed by close collaboration with users. This iterative approach has led to wide adoption among high-growth organizations, including:
- Netflix
- Etsy
- OpenAI
- Airbnb
These companies use incident.io to replace legacy systems and create more effective workflows without requiring engineers to leave their primary communication tools.
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AI Joins the Incident Call: What Makes Their Agents Different
In March 2024, incident.io launched its third product, On-call, in response to customer demand for a modern replacement for tools like PagerDuty and Opsgenie. A year later, nearly two-thirds of its customers had already migrated to this offering.
AI features now automate several critical functions during incidents:
- Scribe generates call transcriptions, real-time summaries, and highlights decision points
- Real-time updates and note-taking are handled automatically
- Post-incident reviews are created without manual intervention
These capabilities reduce operational overhead and eliminate the need for dedicated human note-takers.
Coding at the Speed of Thought? Here’s Why incident.io Is Necessary Now
With AI models such as Claude and platforms like Cursor becoming central to software development, engineering teams are shipping code faster than ever. According to Anthropic’s CEO, AI will soon write 90% or more of all code.
This acceleration introduces a significant challenge. Increased software output means higher incident frequency and greater complexity in determining root causes. incident.io is designed to help teams manage this fast-growing volume of operational disruptions, particularly when engineers lack full context due to AI-generated code.
Not Just a Tool—A Teammate: How AI Agents Support Engineers Around the Clock
incident.io’s AI agents aim to act like experienced colleagues during outages. These agents support engineers during incidents by identifying likely causes, suggesting solutions, and retrieving relevant past incidents and diagnostics.
One scenario described by the company involves a 2 a.m. alert, where incident.io’s system identifies the specific code change that introduced the issue and recommends reverting it—without requiring the engineer to open a laptop first.
The company emphasizes that these agents are not replacements for SREs or developers. Instead, they handle time-consuming tasks and give back engineering hours, allowing teams to concentrate on resolving complex technical issues.
What Comes Next for incident.io and Why It Matters for the Tech Industry
With this new investment, incident.io plans to scale its workforce, including hiring engineers in London and San Francisco. It also intends to expand its go-to-market operations across Sales, Marketing, and Customer Success.
The company’s long-term strategy is to support engineering teams as they face the increasing unpredictability of software environments shaped by AI. By developing AI agents that manage operational complexity, incident.io is positioning itself to play a central role in how modern systems remain reliable as velocity increases.
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