klika HealOS
Klika HealOS – Your Systems Fix Themselves Before Customers Notice
Klika HealOS – Your Systems Fix Themselves Before Customers Notice
Klika HealOS – Your Systems Fix Themselves Before Customers Notice
Alert fatigue is real. Most production monitoring stacks follow the same pattern: detect a problem, create an alert, and then wait for a human to respond. This model has a ceiling. Klika HealOS contains self-healing agents that receive alerts from your existing observability stack, respond to incidents, and push validated fixes before small issues become outages.
Alert fatigue is real. Most production monitoring stacks follow the same pattern: detect a problem, create an alert, and then wait for a human to respond. This model has a ceiling. Klika HealOS contains self-healing agents that receive alerts from your existing observability stack, respond to incidents, and push validated fixes before small issues become outages.
Alert fatigue is real. Most production monitoring stacks follow the same pattern: detect a problem, create an alert, and then wait for a human to respond. This model has a ceiling. Klika HealOS contains self-healing agents that receive alerts from your existing observability stack, respond to incidents, and push validated fixes before small issues become outages.
Alert fatigue is real. Most production monitoring stacks follow the same pattern: detect a problem, create an alert, and then wait for a human to respond. This model has a ceiling. Klika HealOS contains self-healing agents that receive alerts from your existing observability stack, respond to incidents, and push validated fixes before small issues become outages.
Alerts tell you something broke. HealOS actually fixes it.
We provide a closed-loop recovery system built into your observability, CI/CD, ticketing,
and version control workflow. Stop waking engineers up for problems Klika HealOS can fix.
We provide a closed-loop recovery system built into your observability, CI/CD, ticketing, and version control workflow. Stop waking engineers up for problems Klika HealOS can fix.
We provide a closed-loop recovery system built into your observability, CI/CD, ticketing,
and version control workflow. Stop waking engineers up for problems Klika HealOS can fix.
We provide a closed-loop recovery
system built into your observability, CI/CD, ticketing, and version control workflow. Stop waking engineers up for problems Klika HealOS can fix.
We provide a closed-loop recovery system built into your observability, CI/CD, ticketing, and version control workflow.
Stop waking engineers up for problems Klika HealOS can fix.
$100,000+/hour
$100,000+/hr
Average cost of downtime for
mid-size SaaS
Average cost of downtime for mid-size SaaS
Average cost of downtime
for mid-size SaaS
~⅓
of incident response time
recovered for roadmap work
of incident response time recovered for
roadmap work
of incident response time recovered for roadmap work
(Source: Cutover, 2026)
Not Just Monitoring or Automation but Autonomous Recovery
Not Just Monitoring or Automation but
Autonomous Recovery
Not Just Monitoring or Automation but Autonomous Recovery
The distinction matters. This isn't a detection system that will just alert your team when there is a
problem, or execute predefined steps and fail the moment the situation deviates from what was anticipated.
The distinction matters. This isn't a detection system that will just alert your team when there is a problem, or execute predefined steps and fail the moment the situation deviates from what was anticipated.
Klika HealOS strengthens system resilience and reduces incident noise through autonomous CLI-based AI agents. Delivered as a deployable container, these agents integrate with your observability stack and pick up where your existing alerting leaves off.
Klika HealOS strengthens system resilience and reduces incident noise through autonomous CLI-based AI agents. Delivered as a deployable container, these agents integrate with your observability stack and pick up where your existing alerting leaves off.
How the HealOS closed-loop incident resolution looks like:
How the HealOS closed-loop incident resolution looks like:
Detect
Detect
The agent receives notifications from your existing observability stack when issues are flagged.
The agent receives notifications from your existing observability stack when issues are flagged.
Analyze
Analyze
It reviews telemetry, service context, recent changes, repository structure and known failure patterns to determine the likely root cause.
It reviews telemetry, service context, recent changes, repository structure and known failure patterns to determine the likely root cause.
Generate the fix
Generate the fix
The agent prepares a code, infrastructure or configuration patch that follows your project standards and remediation rules.
The agent prepares a code, infrastructure or configuration patch that follows your project standards and remediation rules.
Open the PR
Open the PR
It creates a pull request with the proposed change, incident context, root-cause explanation and validation plan.
It creates a pull request with the proposed change, incident context, root-cause explanation and validation plan.
Validate
Validate
CI/CD pipelines, tests, checks and deployment rules run before anything moves forward.
CI/CD pipelines, tests, checks and deployment rules run before anything moves forward.
CI/CD pipelines, tests, checks and deployment rules run before
anything moves forward.
Resolve and verify
Resolve and verify
Once merged and deployed, the agent checks the relevant signals again to confirm the issue is resolved. If validation fails, it escalates with full context.
Once merged and deployed, the agent checks the relevant signals again to confirm the issue is resolved. If validation fails, it escalates with full context.
Once merged and deployed, the agent checks the relevant signals
again to confirm the issue is resolved.
If validation fails, it escalates with full context.
Engineering Outcomes That Translate Into Business Impact
Engineering Outcomes That Translate Into Business Impact
HealOS improves the way engineering teams work, and the outcomes your business depends on:
HealOS improves the way engineering teams work, and the outcomes your business
depends on:
HealOS improves the way engineering teams work, and the outcomes your business depends on:
Reduced MTTR
Issues move faster from detection to validated fix, which reduces customer impact, support tickets and churn
Issues move faster from detection to validated fix, which reduces
customer impact, support tickets and churn
Features reach users faster, accelerate revenue impact and cut the cost of delayed delivery
Lower operational overhead
When autonomous agents absorb the routine remediation work, engineering capacity returns to the roadmap not the incident queue
When autonomous agents absorb the routine remediation work,
engineering capacity returns to the roadmap not the incident queue
Features reach users faster, accelerate revenue impact and cut the cost of delayed delivery
Fewer escalated alerts
Escalations become exceptions not the default, reducing the hidden cost of context switching across engineering, support and leadership
Regressions caught before they ship, reducing support tickets, protecting against churn, and making sure customers find new features not
new bugs
Improved system stability
Improved estimation accuracy
Every auto-resolved incident feeds back into better detection and coverage, the same investment resolves more over time
Every auto-resolved incident feeds back into better detection and coverage,
the same investment resolves more over time
Sprints deliver what they promise, giving stakeholders clearer visibility and more reliable planning
Stronger Auditability
Every action is traceable, including the incident context, agent reasoning, proposed change, validation result, approval status and escalation path
Every action is traceable, including the incident context, agent reasoning, proposed change, validation result, approval status
and escalation path
Easier onboarding, faster reviews, and a codebase that gets cheaper to change as it grows not more expensive
Aurelie Bon
Founder at Red drop LAB.
They Got It From the Start. That Made All the Difference.
"As a founder, you don't have room for a technical partner that needs hand-holding or takes time to understand what really matters. Klika got it from the start. They've worked alongside me with real commitment to the product — not just the specs — and that has made a tangible difference in how we've been able to move. I'm building something meaningful, and it matters that the people around me treat it that way."
Aurelie Bon
Founder at Red drop LAB.
They Got It From the Start. That Made All the Difference.
"As a founder, you don't have room for a technical partner that needs hand-holding or takes time to understand what really matters. Klika got it from the start. They've worked alongside me with real commitment to the product — not just the specs — and that has made a tangible difference in how we've been able to move. I'm building something meaningful, and it matters that the people around me treat it that way."
Aurelie Bon
Founder at Red drop LAB.
They Got It From the Start. That Made All the Difference.
"As a founder, you don't have room for a technical partner that needs hand-holding or takes time to understand what really matters. Klika got it from the start. They've worked alongside me with real commitment to the product — not just the specs — and that has made a tangible difference in how we've been able to move. I'm building something meaningful, and it matters that the people around me treat it that way."
Aurelie Bon
Founder at Red drop LAB.
They Got It From the Start. That Made All the Difference.
"As a founder, you don't have room for a technical partner that needs hand-holding or takes time to understand what really matters. Klika got it from the start. They've worked alongside me with real commitment to the product — not just the specs — and that has made a tangible difference in how we've been able to move. I'm building something meaningful, and it matters that the people around me treat it that way."
Aurelie Bon
Founder at Red drop LAB.
They Got It From the Start. That Made All the Difference.
"As a founder, you don't have room for a technical partner that needs hand-holding or takes time to understand what really matters. Klika got it from the start. They've worked alongside me with real commitment to the product — not just the specs — and that has made a tangible difference in how we've been able to move. I'm building something meaningful, and it matters that the people around me treat it that way."
How we work together
How we work together
2 weeks
Self-Healing Agent Setup
For teams tired of being paged for things the system
could handle itself.
For teams tired of being paged for things the system could
handle itself.
For teams tired of being paged for things the system could handle itself.
Deployment of the agent container into your infrastructure
Integration with your observability stack
(Datadog, Grafana, PagerDuty, or equivalent)
Agents connected to your repository and CI/CD pipeline
Configured AI-driven recovery strategies per failure type
Runbook Automation
Full audit trail on every fix
Defined escalation boundaries (what the agent handles
vs. what it flags)
YOU LEAVE WITH:
Autonomous agents that resolve issues through your existing engineering workflow, with clear controls for what can move forward automatically and what requires human approval.
2 weeks
Self-Healing Agent Setup
For teams tired of being paged for things the system could handle itself.
Deployment of the agent container into your infrastructure
Integration with your observability stack (Datadog, Grafana, PagerDuty,
or equivalent)
Agents connected to your repository and CI/CD pipeline
Configured AI-driven recovery strategies per failure type
Agents connected to your repository and CI/CD pipeline
Runbook Automation
Configured AI-driven recovery strategies per failure type
Full audit trail on every fix
Defined escalation boundaries (what the agent handles vs. what it flags)
YOU LEAVE WITH:
Autonomous agents that resolve issues through your existing engineering workflow, with clear controls for what can move forward automatically and what requires human approval.
2 weeks
Self-Healing Agent Setup
For teams tired of being paged for things the system could handle itself.
Deployment of the agent container into your infrastructure
Integration with your observability stack (Datadog, Grafana, PagerDuty, or equivalent)
Agents connected to your repository and CI/CD pipeline
Configured AI-driven recovery strategies per failure type
Runbook Automation
Full audit trail on every fix
Defined escalation boundaries (what the agent handles vs. what it flags)
YOU LEAVE WITH:
Autonomous agents that resolve issues through your existing engineering workflow, with clear controls for what can move forward automatically and what requires human approval.
Who We Work Best With
Who We
Work Best With
HealOS is built for specific teams in specific situations.
FlowOS is designed for specific
teams and situations.
You are a good fit if:
You are a CTO, VP Engineering, Head of Platform, or SRE at a scale-up or enterprise running production systems
Your on-call rotation is overloaded: the same incidents keep coming back, same engineers keep getting paged and fixes are still manual
Your observability stack generates more alerts than your team can act on.
Engineers spend time triaging noise instead of resolving root causes
Your observability stack generates more alerts than your team can act on. Engineers spend time triaging noise instead of resolving root causes
You’re being asked to improve reliability without growing the ops team, while complexity and incident volume keep increasing
Your systems already have observability, CI/CD, ticketing, and deployment workflows in place, but they still don’t close the loop automatically
You operate in an environment where automated changes need audit trails, approvals, and governance
You are Not a fit if:
You want a monitoring tool, not autonomous action. If your goal is better dashboards, this isn't the right tool
You want a monitoring tool, not autonomous action. If your goal is better dashboards, this isn't the right tool
You don't have observable production systems yet. There's no telemetry to connect to
You don't have observable production systems yet.
There's no telemetry to connect to
Klika’s Success Across Industries
Klika’s
Success Across Industries
Customer Engagement
AI-Driven CRM Transformation & Innovation
Klika engineered an AI-first architecture, leveraging Retrieval-Augmented Generation (RAG) and specialized LLM integrations to transform the CRM experience.
Financial & Insurance
Large-Scale Banking Modernization & Digital Pivot
Klika was engaged as a technical partner to architect and implement a next-generation banking ecosystem from the ground up.
Healthcare & Life Sciences
Data-Driven Insights for Enterprise Growth
A centralized data platform unified 1.2B sleep sessions from 1M smart beds for faster, real-time enterprise decisions.
Financial & Insurance
Large-Scale Banking Modernization & Digital Pivot
Klika was engaged as a technical partner to architect and implement a next-generation banking ecosystem from the ground up.
Healthcare & Life Sciences
Data-Driven Insights for Enterprise Growth
A centralized data platform unified 1.2B sleep sessions from 1M smart beds for faster, real-time enterprise decisions.
Customer Engagement
AI-Driven CRM Transformation & Innovation
Klika engineered an AI-first architecture, leveraging Retrieval-Augmented Generation (RAG) and specialized LLM integrations to transform the CRM experience.
Customer Engagement
AI-Driven CRM Transformation & Innovation
Klika engineered an AI-first architecture, leveraging Retrieval-Augmented Generation (RAG) and specialized LLM integrations to transform the CRM experience.
Financial & Insurance
Large-Scale Banking Modernization & Digital Pivot
Klika was engaged as a technical partner to architect and implement a next-generation banking ecosystem from the ground up.
Customer Engagement
AI-Driven CRM Transformation & Innovation
Klika engineered an AI-first architecture, leveraging Retrieval-Augmented Generation (RAG) and specialized LLM integrations to transform the CRM experience.
Financial & Insurance
Large-Scale Banking Modernization & Digital Pivot
Klika was engaged as a technical partner to architect and implement a next-generation banking ecosystem from the ground up.
Healthcare & Life Sciences
Data-Driven Insights for Enterprise Growth
A centralized data platform unified 1.2B sleep sessions from 1M smart beds for faster, real-time enterprise decisions.
Proof Beats Promises
We’ll show you how the agent handles a production incident workflow.
Proof Beats Promises
We’ll show you how the agent handles a production incident workflow.
Proof Beats Promises
We'll walk you through a real workflow, real agents, and real outputs.
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Certifications & Awards
27001
© 2026 Klika LLC
Techtonic Newsletter
Subscribe to our newsletter to keep up with the latest news from the world of technology and AI.
Certifications & Awards
27001
© 2026 Klika LLC
Techtonic Newsletter
Subscribe to our newsletter to keep up with the latest news from the world of technology and AI.
Certifications & Awards
27001
© 2026 Klika LLC
Techtonic Newsletter
Subscribe to our newsletter to keep up with the latest news from the world of technology and AI.
Certifications & Awards
27001
© 2026 Klika LLC
Techtonic Newsletter
Subscribe to our newsletter to keep up with the latest news from the world of technology and AI.
Certifications & Awards
27001
© 2026 Klika LLC