Prof Daniel Tanimawo

Prof Daniel Tanimawo One AI-native platform. Monitor everything. Scale anything.
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If you’re a CTO, VP of Infrastructure, Head of Platform, Director of SRE, or VP of Engineering, you already know one thi...
02/27/2026

If you’re a CTO, VP of Infrastructure, Head of Platform, Director of SRE, or VP of Engineering, you already know one thing:

Context switching is one of the biggest hidden productivity killers in infrastructure teams.

During an incident your engineers are jumping between:

Monitoring dashboards
Logs
Alerts
Chat
Runbooks
Tickets
Automation scripts

Five tools. Seven tabs. Ten dashboards.

And every time they switch tools, they lose time and context.

The reality is most teams don’t want another tool.

They want fewer tools.

That’s exactly why we’re building Nova AI Ops.

An AI-native, multi-agent operating system for reliability that brings monitoring, incident response, automation, communication, and investigation into a single control plane.

Instead of tool-hopping during incidents, teams stay in one place while AI agents help:

Detect incidents
Correlate signals
Investigate root causes
Coordinate response
Trigger automation

One job. One tool.

If you lead infrastructure or reliability teams, I’d love to hear how your teams currently handle incident response across multiple systems.

Excited to share that Nova AI has been accepted into the Redis for Startups program. Grateful to the Redis team for the ...
02/26/2026

Excited to share that Nova AI has been accepted into the Redis for Startups program.

Grateful to the Redis team for the support and for welcoming us into the program.

As we continue building Nova AI Ops, a full stack, multi agent operating system for modern tech teams, this kind of support means a lot at this stage.
Every yes matters when you are building from the ground up.

NOVA AI backend is also powered by Redis, so this is especially meaningful.

We are grateful, focused, and still building in public as we move closer to launch 🚀

https://site.novaaiops.com

I received an alert that my Docker container was down. I wasn’t home to investigate or bring it back up. But guess what?...
02/25/2026

I received an alert that my Docker container was down. I wasn’t home to investigate or bring it back up. But guess what? NOVA AI On-Call Engineer fixed it for me and even sent a postmortem.

Nova AI Ops | A Multi-Agent Operating System for Reliability is the future of monitoring and incident response.

— Samson Tanimawo, PhD

02/24/2026

Install Nova AI Agent in 60 Seconds and Start Monitoring Immediately

Get your environment connected fast, deploy the agent, start collecting signals and see your infrastructure light up in Nova AI in minutes.

Learn more: https://site.novaaiops.com

One of the most important skills I learned at Southern New Hampshire University during my MBA was how to build the right...
02/23/2026

One of the most important skills I learned at Southern New Hampshire University during my MBA was how to build the right team.

The most effective strategy is creating a heterogeneous team, a team made up of people with different backgrounds, skills, experiences, and perspectives.

When I start the hiring process, this is exactly how the team will look, people from different cultures, different industries, and different ways of thinking working toward one mission.

Diversity of thinking drives better decisions, stronger ex*****on, and more innovation.

Nova AI Ops | Multi-Agent Reliability Platform is here to change the world.

Before I started building NOVA AI, I always wondered why we needed so many tools just to do one job.Then I realized why:...
02/22/2026

Before I started building NOVA AI, I always wondered why we needed so many tools just to do one job.

Then I realized why: it’s not because the work is complex, it’s because the tools aren’t efficient enough.

One tool for dashboards.
Another for logs.
Another for metrics.
Another for traces.
Another for alerts.
Another for incident management.
Another for on-call.
Another for runbooks.
Another for postmortems.

And somehow, we are the glue holding it all together.

It might look fun from the outside, but for the engineers actually monitoring production, it’s tedious work: constant tab switching, context switching, manual correlation, and wasted time just trying to answer one question:
What’s wrong, and what do we do next?

Add to it the pressure of being on call, the noise of false alerts, and the fact that every incident turns into a scavenger hunt across 10+ tools, and you start to see the real problem: Tool sprawl doesn’t scale. It burns engineers out.

That’s why I’m building Nova AI Ops (Operating System).

ONE JOB. ONE TOOL.

Monitoring, observability, incident response, and automation, unified in one platform.

— Dr. Samson Tanimawo, PhD

The Founder and CEO of Nova AI: Samson Tanimawo, PhD.I have a Bachelor’s degree in Mechanical Engineering, a Master’s de...
02/21/2026

The Founder and CEO of Nova AI: Samson Tanimawo, PhD.

I have a Bachelor’s degree in Mechanical Engineering, a Master’s degree in Computer Science, an MBA, and a PhD in Computer Science. I’ve written 10 books and traveled across Germany, France, Italy, Romania, Austria, and other countries.

I have over 10 years of experience in software engineering and site reliability engineering. Over the years, I’ve seen how stressful and complicated the tools can be.

Every day, engineers use more than 10 different tools just to get one job done. I’ve been there. It’s overwhelming.

That’s why I’m building Nova AI. Engineers shouldn’t have to juggle so many tools just to handle monitoring and reliability. With Nova AI, everything is unified in one platform.

Nova AI is the future of observability and monitoring, bringing everything into one intelligent platform.



Alert fatigue isn’t a monitoring problem.It’s a signal problem.When every notification feels urgent, nothing is.Duplicat...
02/20/2026

Alert fatigue isn’t a monitoring problem.

It’s a signal problem.

When every notification feels urgent, nothing is.

Duplicate alerts.
False positives.
Disconnected tools.

Cutting alert fatigue requires intelligent filtering and unified signal management.

Nova AI reduces alert noise and helps engineering teams focus on what actually matters.

Less noise.
More clarity.
Operational focus at scale.

People keep asking what stack I’m using to build Nova AI Ops | AI-Native Reliability Platform. You’re missing the point....
02/19/2026

People keep asking what stack I’m using to build Nova AI Ops | AI-Native Reliability Platform.

You’re missing the point. Nova AI exists so teams don’t have to juggle 10+ tools just to stay reliable. We’re consolidating the chaos into one unified platform.

Monitoring. Incident management. AI copilots. Communication. Security. Automation. All in one place. Everything I need is already inside Nova AI.

Even the external infrastructure we use like PostgreSQL, MongoDB, AWS, Docker, and Kubernetes is integrated into Nova AI as part of the system.

Yes, I’m using Nova AI to build Nova AI.

If it doesn’t work for us, it doesn’t ship.

Most startups don’t lack monitoring.They lack clarity.Logs in one place.Metrics in another.Alerts somewhere else.Observa...
02/18/2026

Most startups don’t lack monitoring.

They lack clarity.

Logs in one place.
Metrics in another.
Alerts somewhere else.

Observability becomes fragmentation.

Unifying observability isn’t about adding another tool.

It’s about creating a single operational signal layer.

Nova AI unifies monitoring data and reduces cross-tool context switching so engineering teams can focus on resolution, not navigation.

Signal over noise.
System over sprawl.
Scale without complexity.

Join the waitlist if your team is juggling too many dashboards.

👉 novasrai.com

Most monitoring dashboards are boring in a way people underestimate, because they are almost always black, white, and gr...
02/17/2026

Most monitoring dashboards are boring in a way people underestimate, because they are almost always black, white, and gray, filled with the same small charts and repetitive panels that barely change unless something breaks, and while that might seem harmless at first, the effect builds over time. In the beginning, it feels powerful to watch over CPU, memory, latency, and error rates, but when you spend eight to twelve hours a day staring at nearly identical graphs for months or years, the experience quietly shifts from control to fatigue.

The dashboard remains static and neutral while your brain does all the work, constantly interpreting patterns, correlating signals across tabs, and deciding what actually matters, because the interface itself does not guide attention or provide meaningful context. Monitoring slowly stops feeling like engineering and starts feeling like waiting, and that waiting creates a subtle but real exhaustion that is not dramatic like a major outage, but steady and draining.

We often blame burnout on pager duty and incident pressure, yet we rarely talk about interface fatigue and how staring at lifeless, repetitive dashboards day after day can erode motivation.

That is exactly why I am building Nova AI Ops | AI-Native Reliability Platform, because monitoring should not feel like watching a grayscale spreadsheet for years of your life, and engineers should not have to be the manual correlation engine between disconnected tools. Nova AI is my attempt to design monitoring around the human brain instead of around raw metrics, to surface real signal instead of endless noise, and to reduce cognitive load instead of adding to it, so that reliability engineering feels alive, focused, and meaningful again rather than dull and draining.

An AI wrapper company is a company whose entire product depends almost completely on someone else’s AI model.If the prod...
02/16/2026

An AI wrapper company is a company whose entire product depends almost completely on someone else’s AI model.

If the product wouldn’t exist without OpenAI, Anthropic, Gemini, or another model behind it, then it’s basically a layer on top of that model. That’s what people mean by an AI wrapper.

The risk? If your whole value is just calling an API with a nicer UI, the big AI providers can release one feature and swallow your product overnight.

That’s why building AI-dependent and building AI-enabled are two different things.

If your entire product is an AI wrapper, you’re exposed. It's weak.

If AI is just one component in a larger system, you’re stronger.

For example, with Nova Ai Ops, the core value isn’t just the AI. The platform can function without it. Monitoring, workflows, integrations, incident orchestration, system visibility, those still work. AI is there to assist with debugging, triage, recommendations, and automation, not to be the entire engine.

That’s AI-enhanced infrastructure, not AI-dependent software.

Big difference.

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