Incident response gets messy fast when reliability work is spread across too many tools.
Monitoring lives in one place. Logs and traces live somewhere else. On-call is in another system. Runbooks are scattered. Communication happens in chat. Tickets live in a different queue. Automation is stitched together with scripts.
During an outage, teams lose time jumping between tools, copying links, repeating context, and trying to piece together what actually happened. Nova AI Ops exists to keep context in one place — so teams detect issues faster, reduce alert noise, collaborate in real time, and resolve incidents with less manual effort.
Instead of stitching together many disconnected tools during high-pressure moments, Nova AI helps teams move from detection to triage to remediation with a shared timeline, clear ownership, and AI support that summarizes signals, suggests next steps, and keeps the incident process organized.
I'm Dr. Samson Tanimawo, and I never set out to start a company.
After many years working as a site reliability engineer and software engineer, I finally decided to build the future of multi-agent platforms for reliability and observability. Because as an SRE, the most frustrating part of the job was never the company or my colleagues — it was the tools.
Boring dashboards no one trusts. Endless alerts that do not help. Brilliant engineers forced to work with outdated tools built by people who never lived the pain. So I kept asking myself three questions I couldn't shake:
1. Why do we need so many tools just to monitor our applications?
2. Why do we need countless dashboards and noisy alerts?
3. Why are engineers still waking up at midnight or staying late just to babysit systems — in the age of AI? We are smarter than this.
Those questions are valid because the reality is frustrating. I never set out to start a company. But it became clear that solving these problems properly required building something entirely new.
That is why I'm building Nova AI Ops — a unified AI-native platform for reliability and observability designed to think, act, and automate the way real SREs do. One platform. One intelligence layer. Fewer tools. Less noise. Faster clarity. Real action. If you want one platform to monitor all your applications, this is for you. You do not need to open 20+ tabs across different tools. You just need Nova AI.
If you lead reliability work and you've felt the pain of context switching during incidents, I'd love to connect and learn from your perspective. → founders@novaaiops.com
From a weekend script to 100 agents in production.
Four principles that shape every decision.
Reliability first
Every AI action is reversible, every decision is logged, and nothing ships that could make an incident worse.
Speed is a feature
Under 2-second AI responses. Under 90-second auto-remediation. Anything slower than that and the customer already noticed.
Explain everything
Every AI decision is traceable to a runbook step, a metric, and a confidence score. No black boxes, no magic.
Respect the on-call
If we can't keep an engineer asleep, we've failed. Everything we build is measured against that one question.
One platform to monitor all your applications.
Lead reliability work? Samson would love to connect. Reach out at founders@novaaiops.com or meet the team building Nova.