A mid-stage startup we worked at ran 14 different monitoring and security tools. Fourteen, and incidents still took hours to triage. That wasn't an outlier. Most engineering teams spend somewhere between a quarter and a third of their time on operational work that has nothing to do with their product. Monitoring. Patching. Chasing alerts. Running security audits that take weeks and cost five figures.

We were those engineers. We got tired of it. So we built NilOps.

The Treadmill: More Tools, Same Problems

Our team spent years in DevOps, security, and infrastructure engineering. The pattern repeated everywhere: operational complexity grows faster than teams can hire against it.

The standard playbook (more people, more tools, more dashboards) creates its own problems. Tool sprawl. Alert fatigue. Engineers managing Grafana panels instead of shipping features.

For startups, it's even worse. Infrastructure and security are hard to scale without hiring expensive specialists or burning weeks on manual audits. Most early teams can't afford either, so they ship fast and hope for the best until something breaks.

The bottleneck isn't visibility. Teams have plenty of data. The bottleneck is that someone still has to act on all of it.

Agents That Do the Work, Not Just the Alerting

Most "AI for DevOps" tools bolt a chatbot onto an existing dashboard. You still get the alert. You still do the investigation. The AI just helps you write the ticket faster.

That's not what we're building.

The gap isn't "tell me what's wrong." It's "fix it." An agent that detects a vulnerability is table stakes. An agent that proves exploitability, generates the patch, and opens the PR? That changes the operating model. An agent that traces a cost spike to a misconfigured autoscaler and proposes the config change? That's the difference between another alert and an actual resolution.

We're building agents that close the loop: detect, diagnose, remediate. Humans stay in the approval step, not the grunt work.

Instead of selling you another tool to manage, we want to deliver the finished outcome: foundations you don't have to second-guess. Security best practices baked in from the start. Continuous stress-testing running in the background. The goal is to cut the operational burden and mental load so that founders and engineers can put their full attention on the product and the business.

Starting With Security, Because the Gap Is Widest

NilOps is an operational intelligence platform. We're starting with automated penetration testing because the pain is sharpest and the current approach is the most obviously broken.

Traditional pentests are slow (weeks of calendar time), expensive (often $20K+ per engagement), and point-in-time. You get a PDF, fix the critical findings, and hope nothing new breaks before the next assessment. Meanwhile, your attack surface changes with every deploy.

Our agents run continuous security testing against your infrastructure on your schedule. Faster coverage, lower cost, results that don't go stale between quarterly engagements. But pentesting is the starting point, not the ceiling.

The same agent architecture extends to infrastructure monitoring, cost optimization, compliance, and incident response. The goal: push your team's time back toward the product and away from the plumbing.

Where We Are Now

We're in limited beta, working with early design partners to sharpen the pentesting agents. If operational overhead is eating your team's ability to ship, we'd like to hear from you.

This blog is where we'll share what we're learning: technical deep dives on agent architecture, what we're seeing in the security landscape, and the honest parts of building NilOps.

Insights & Updates

Why We Started NilOps