Your AI-Powered On-Call Engineer that Analyzes & Resolves IT Challenges
Average cost per incident
Average annual losses due to IT incidents
Engineers spend 38% of time on manual processes
"The CrowdStrike outage caused global IT disruption, impacting airlines, banks, and healthcare providers, with an estimated $25B market impact."
Add noise without context
Data overload, no actionable insights
Outdated and unscalable
Miss system-wide patterns
Heavy reliance on human intervention
Time for a new approach
Cloud complexity driving alert overload
Shift from reactive to proactive incident prevention
Rising acceptance of AI & ChatOps in incident management
Mid-market & enterprise demand for unified incident management
Critical industries (SaaS, fintech) need to safeguard revenue and trust
"Exlo AI reduced our average resolution time by 70%, saving us an estimated $2.4M in potential lost revenue last quarter alone."
Engineers receive only relevant alerts with contextual information
Proactive issue identification prevents major outages
Engineers spend less time on-call with more predictable schedules
Teams can focus on building new features instead of firefighting
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PagerDuty
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OpsGenie
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Resolve.ai
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BP
BigPanda
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| Predictive Analytics |
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| Deep Impact Analysis |
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| Real-Time Incident Management |
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| Intuitive User Interface |
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End-to-end solution that unifies multiple functions in a single platform
Advanced contextual insights that understand the business implications of technical issues
Intelligent workflows that link technical issues with business impact and trigger automated remediation
Focus on mid-market and enterprise sectors (SaaS, fintech, critical industries)
Land-and-expand model focusing on departmental wins first
Target DevOps and SRE teams as initial champions
Launch core platform with initial enterprise customers
Build ecosystem with key technology partners
Scale sales team and enter international markets
Become the industry standard for AI-driven IT Ops
For small DevOps teams with basic needs
For mid-size organizations with advanced needs
For large organizations with complex infrastructure
Pricing tied to cost savings from reduced downtime, with an average ROI of 300% within first year.
Year 1
$2M
ARR
Year 3
5M
ARR
Year 5
$50M
ARR
Expanding to full AIOps suite
Multi-region expansion strategy
For every spent on Exlo AI, customers save an average of $4 in prevented downtime costs
Full product launch with enhanced AI capabilities
Market entry into EMEA and APAC regions
0M ARR milestone with 40% YoY growth
Enterprise Adoption
Fortune 500 Target
"By 2026, we project Exlo AI will be the standard solution for 30% of Fortune 500 companies, reducing incident response times by an average of 75%."
92%
85%
Q4 2025
5.3x
Founded
With a vision to revolutionize IT incident management
CEO
Leading our vision and strategy
CTO
Driving our technical innovation and architecture
David Kim
Former CTO, Enterprise Cloud
Rebecca Nguyen
Partner, Tech Ventures
AI Seed Fund
Early Investor
DevOps Capital
Early Investor
Our team combines deep technical expertise with real-world IT operations experience
Seed Funding
To become the industry standard for AI-driven IT Ops, eliminating alert fatigue and transforming incident management
Eliminate 90% of false alerts within the IT ecosystem
Automate 75% of routine incident resolution workflows
Save companies millions in downtime costs annually
North America
Europe
Asia Pacific
Partner with us to build the future of AI-powered incident management
Join us in our mission to save companies 00B+ in IT incident costs by 2030
Social Proof & Real-World Validation
Real-World Outages
CrowdStrike Outage
Zoho Outages
@frustrateduser: "Day 2 of not being able to access critical Zoho services. Our business is essentially at a standstill. #ZohoDown"
Atlassian Cloud Outage
u/DevTeamLead: "Our entire sprint planning is on hold. Can't access Jira or Confluence for the third day in a row."
Customer Sentiments
IT Director
@ITLeader
"The business impact of our recent outage was catastrophic. 4 hours of downtime = .2M in lost revenue. We need better incident management."
DevOps Engineer
@NightShiftHero
"My 3rd consecutive night getting woken up by alerts. Most of them could have been auto-resolved. This is unsustainable."
r/sysadmin
u/BurnoutAdmin
"Our company lost a major client after our third unplanned outage this quarter. Management still refuses to invest in proper incident management."
r/devops
u/CloudNinja
"We need better AI-powered tools. Got 500+ alerts during our last outage, but only 3 actual issues needed attention."
Impact on Business
The Urgency is Clear
Companies need intelligent incident management to protect revenue, maintain customer trust, and preserve employee wellbeing.