Building the operational
intelligence layer
for modern engineering.
Production systems have grown too complex for human operators to manually correlate signals, investigate failures, coordinate response, and execute remediation at the speed modern business demands.
Scrubbe was founded to solve that problem. We are building an autonomous incident response platform that helps engineering teams investigate, understand, and resolve production incidents faster — through AI-powered operational intelligence that is governed, traceable, and policy-aware from the ground up.
Reduce the time between
failure and resolution.
Every production incident creates pressure. Teams scramble to identify what changed, determine what failed, understand the blast radius, and coordinate a safe response across multiple systems and stakeholders — simultaneously, under time pressure, often outside business hours.
“The challenge is no longer a lack of data. The challenge is turning operational data into actionable intelligence.”
Paschal Ifediora, Founder & CEO
Our mission is to help organizations move from reactive incident management to intelligent, coordinated, and governed incident response. We believe this transition is one of the most consequential operational shifts available to engineering organizations today — not a marginal improvement, but a structural one.
The cost of incidents is frequently measured not by the failure itself, but by the time required to understand it. Scrubbe closes that gap by deploying investigation before execution — ensuring that every remediation action is grounded in evidence, not assumption.
Signal volume is not the issue.
Fragmentation is.
Modern engineering environments generate an overwhelming volume of operational signals. The information required to understand an incident almost always exists within the organization's systems. The problem is that it is scattered, disconnected, and requires manual interpretation under pressure.
Engineers spend valuable time manually connecting evidence, validating assumptions, coordinating teams, and determining safe next steps — while production impact continues to compound. The cost is measured not in the failure itself, but in the hours required to understand it.
Scrubbe addresses this fragmentation by deploying specialized AI agents that investigate these signals in parallel, correlating what changed, identifying the most probable root cause, and presenting a traceable evidence graph before any remediation is proposed.
An autonomous incident
response platform.
Scrubbe is an autonomous incident response platform for engineering teams. During production incidents, Scrubbe deploys specialized AI agents that investigate code changes, CI/CD pipelines, infrastructure signals, logs, alerts, and service dependencies in parallel.
Agents that investigate in concert, not in sequence.
Specialized agents investigate code changes, CI/CD pipelines, infrastructure signals, logs, alerts, and service dependencies simultaneously — eliminating the sequential, manual correlation that defines most incident response today.
Causality established before action is proposed.
The platform correlates what changed, identifies the most likely root cause, determines the safest remediation path, and verifies expected impact. No action is proposed until evidence is sufficient to support the hypothesis.
Organizations retain control at every automation threshold.
Approved remediation executes under configurable policy controls. The effective automation level is the intersection of playbook stage, policy ceiling, and risk classification — computed at match time, never assumed.
Every decision traceable to its evidence and policy context.
Every investigation step, recommendation, approval, and execution outcome is written to an append-only audit trail with the exact policy version that governed it. Governance is foundational — not a reporting layer added afterward.
Incident command, auto-initiated for high-severity events.
When a P0 or P1 incident remains without an approved action for more than twenty minutes, Scrubbe automatically creates a private Slack channel, a Microsoft Teams channel, and a Zoom instant meeting — joining engineers wherever they work, without manual coordination overhead.
Investigation before
execution.
Many automation platforms focus on acting faster. We believe systems should first understand what happened. Scrubbe is designed around a principle that is simple to state but difficult to engineer: the quality of remediation depends on the quality of investigation.
Before any action is proposed or executed, the platform gathers evidence, establishes causality, evaluates risk, and validates remediation options. This approach reduces operational uncertainty while improving confidence in response decisions — and creates the traceable foundation that enterprise governance programs require.
Operational automation must be safe. Scrubbe is built with governance as a foundational capability, not an afterthought.
Evidence-driven
No action without a correlated evidence graph anchoring the root cause hypothesis. Severity is computed by policy — never assumed from the originating connector.
Policy-bounded
The effective automation level is the minimum of playbook stage, policy ceiling, and risk classification. Computed once at playbook match — never re-evaluated or overridden at execution time.
Always auditable
Append-only audit trail with policy version snapshots at every state transition — from Detected through Post-Mortem. Every approval and outcome is traceable to the human or agent that authorized it.
Integration-native
Built around an open connector model. Investigation quality compounds with every system connected — monitoring, ITSM, CI/CD, cloud, and communication platforms from day one.
Building the Future of Reliability – One Incident at a Time.
Production incidents do not follow business hours. Engineering teams coordinate across regions, hand off investigations between time zones, and respond to incidents at every hour of the day.
Scrubbe is designed for globally distributed operations, helping organizations investigate, coordinate, and resolve incidents wherever their teams are located — continuously, without manual handoff between regions.
We operate around the clock, so your systems never sleep
The future is operational
intelligence.
The future of operations is not simply more dashboards, alerts, or workflows. The future is operational intelligence — systems capable of reasoning across code, infrastructure, deployments, and production environments to understand failures and coordinate response.
We believe engineering teams will increasingly rely on platforms that can investigate, reason, and respond effectively. This is becoming a strategic capability for every technology organization — not a tool category, but an operational foundation.
Our goal is to help teams spend less time searching for answers and more time delivering reliable systems. Scrubbe is building the intelligence layer that connects operational signals to safe, governed, explainable action.
Engineering systems continue to grow in scale and complexity. The ability to investigate, reason, and respond effectively is no longer optional. It is the infrastructure every modern engineering organization will need to build on.
- Systems should understand before they act
- Governance belongs at the core, not the periphery
- Every remediation action deserves a traceable justification
- Investigation quality determines resolution quality
- Human control must always be preserved at configurable thresholds
- Operational intelligence is a strategic capability, not a tool category
- Fragmented signals are solvable when context travels with the event
Ready to transform how your team
responds to incidents?
Talk to our team about deploying governed incident intelligence for your engineering organization.
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