II

Incident IO

AI-powered incident management platform for engineering teams

Customer SupportAIManagementDevOpsSRE
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Founded
2021
Employees
100-200 employees
Funding
Over $96M total; Series B $62M at ~$400M valuation (Apr 2025)
Stage
Growth/scaling post-Series B
Report version: Sep 15, 2025

1. Products/Services & Features

  • Main Offerings:

    • AI-powered incident management platform with Slack/Teams integration
    • On-call scheduling and automated escalation management
    • Real-time status pages and AI-generated post-mortems
  • Feature Breakdown: Incident creation and management via Slack/Teams, automated announcements, on-call scheduling, AI agents for root cause analysis, status pages, audit trails (Departments: Engineering teams, DevOps, SREs, platform engineers, IT operations, technical support)

  • Business Industry Gearing: High-growth tech organizations, modern SaaS companies, fintech, internet services

2. Security & Compliance

  • Certifications: Compliant, verified August 2023 (Type I), GDPR ready, pursuing ISO 27001

  • Vendors/Tools: Vanta (compliance automation), AWS (cloud hosting)

  • Risk Profile:

    • Breaches: No known breaches
    • Features: Includes audit trails, SSO/SCIM, automated compliance reporting

3. User Feedback & Adoption

  • Aggregated Reviews: G2: 4.8/5 (150+ reviews)

    • Pros: Easy integration with Slack and intuitive UI, automates workflows and incident timelines, reduces chaos and centralizes management
    • Cons: Complexity in interface navigation—feature-rich but sometimes difficult to locate options, pricing perceived as high for some customers
  • Adoption Insights:

    • Adoption Ease: High ease of integration: Users report seamless Slack-powered onboarding and low resistance among developers
    • Adoption Cultural Fit: Training modules and light-touch onboarding are highlighted as factors reducing resistance and embedding within team culture
  • Metrics: No published churn rate or NPS directly available

  • Barriers: Navigational complexity due to breadth of features, pricing cited as a barrier for teams with tight budgets

4. Monetization & Business Model

  • Revenue Model: SaaS subscription based on paid user seats, with tiered features and enterprise custom options

  • Pricing: Starter $16–$19/user/month, Pro $23–$28/user/month, Enterprise custom pricing (Sources: SaaSworthy, Incident.io blog, GetApp)

  • Market Context:

    • TAM: Estimated global incident management software TAM is $10B–$15B
    • Growth Stage: Early scaling, post-seed with market expansion underway

5. Leadership & Recent Developments

Name Description LinkedIn X Account
Stephen Whitworth CEO and Co-founder
Pete Hamilton CTO and Co-founder
Chris Evans CPO and Co-founder
  • Key Metrics Update:

    • Funding: $62M Series B (April 2025) led by Insight Partners
    • Employee Growth: +40% YoY as of June 2025
  • News/Trends:

    • News Launch: Launched major upgrades to On-call product, native Teams support, Alerts API (April-May 2025)
    • News Partnerships: Integration with Intercom, Microsoft Teams, Azure DevOps, Google Cloud Marketplace partnership
    • News Funding: Raised $62M in Series B funding (March 2024) to accelerate AI development and platform growth
    • News Challenges: No explicit public challenges or pivots announced in the 2024–2025 window

6. Target Audience & Use Cases

  • Target Market: High-growth tech organizations, especially modern SaaS companies in sectors such as fintech and internet services, typically scaling from early-stage to mid-sized teams

  • Target Users & Personas: Engineering teams (DevOps, SREs, platform engineers), IT and operations leaders, technical support personnel

  • User Experience Level: Entry-level accessible interface via Slack/Microsoft Teams for rapid adoption, power users supported through customizable dashboards and APIs

  • Key Use Cases:

    • Automating incident coordination: Centralized management and real-time communication during outages
    • AI-powered diagnostics and resolution: AI agents investigate, summarize, and recommend actions during software/service disruptions
    • On-call alerting and escalation: Automated notification and scheduling to ensure the right experts are engaged

7. Tagging & Categorization

  • Category: Customer Support

  • Tags: AI, Management, DevOps, SRE, on-call, Integration, automation

8. Impact & Recommendations

  • Measurable Outcomes:

    • Workflow Improvements: Reduces manual effort and fragmentation during incidents, automates workflows and incident timelines, centralizes incident management
    • ROI Examples: Buffer achieved 70% fewer critical incidents, faster and calmer response process
  • Fit Assessment: Excellent fit for high-growth tech companies with complex engineering operations requiring reliable incident response

  • Custom Rec Flags:

    • Priority ICP: Engineering-led SaaS companies with 100-1000 employees experiencing frequent incidents
    • Short Term Goals: Accelerating AI-powered incident management and broadening platform integrations

Data Sourcing Notes

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