About Spektro
Running a data center is breaking in a quiet, expensive way.
Most of the industry is looking in the wrong direction. We are building the layer it overlooks.
[01] The Problem
What we are building against
Alarm fatigue is treated as a culture problem when it is a tooling problem.
Most alarms are noise, and the monitoring stack never filters them before they reach the floor. The most experienced operators burn out first, and take years of knowledge of the site with them.
Operators are told to "tune their thresholds better" or "run a tighter NOC," as if discipline could fix a system where most alarms are noise. It cannot. The problem is not that operators are careless. It is that the monitoring stack never separates a real event from environmental jitter before the alarm reaches the floor. A 24/7 watch turns into an endurance sport, and the most experienced operators, the ones who know the facility best, are the first to burn out and leave. Every one who walks takes years of hard-won knowledge of the site with them.
The source of truth is treated as a compliance artifact.
Teams spend years curating a DCIM or CMDB, then nobody queries it during an incident. The operator on shift rebuilds, by hand, relationships the source of truth already holds.
Every serious operations team spends years curating a source of truth, whatever DCIM, CMDB, or asset system they have standardized on. It is the single most valuable operational asset most teams own. And during an incident, nobody queries it. The operator on shift is jumping between the BMS, the monitoring tools, and the DCIM by hand, reconstructing relationships in their head that the source of truth already holds. What is this unit? What does it feed? What is its redundant pair? Whose change window is open on it? The answers exist. They are just never consulted at the moment they matter.
Runbooks are dead the day they are written.
The facility changes faster than its MOPs and SOPs. The answer is not better runbooks. It is live reasoning over live data, every time.
A data center changes faster than its documentation. New gear, recabling, capacity moves, swapped units. Operators who lean on static MOPs and SOPs are operators whose procedures are already out of date. The answer cannot be "write better runbooks." It has to be live reasoning over live data, every time.
Humans are doing the algorithmic work.
Correlation, lookup, and dependency tracing are machine work, yet they eat half a shift. The judgment calls get whatever time is left.
Correlation, lookup, dependency tracing, pattern matching. All of this is machine work. It is the most mechanical, least creative part of a shift, and operators spend half of theirs on it. Meanwhile the actual hard work of judgment calls, change management, and capacity and risk decisions gets squeezed into whatever time is left. Most teams have it backwards.
The physical infrastructure layer is invisible.
Above the OS, observability is crowded. At the level of racks, power, cooling, and cabling, where most real outages happen, there is almost nothing.
Above the OS, there is a thriving ecosystem of observability and AIOps tools. Below it, at the level of racks, power, cooling, cabling, and colo, there is almost nothing. And that is where most of the real outages actually happen. The layer that is hardest to observe and most expensive to fail is the one the industry has collectively stopped building for.
It is 2am. An alarm fires. The operator pulls up the BMS and three monitoring panes, cross-checks the DCIM by hand, starts the MOP, escalates the field call. Next rotation, a different rack. The same night.
This is what a single bad night on the floor looks like, and it repeats. It is 2am on the overnight shift. An alarm fires. The operator pulls up the BMS and three monitoring panes, reconstructs the context from memory, cross-checks the DCIM by hand, isolates the failing unit, starts the MOP, escalates the field call. By the next rotation the alarm will name a different rack, a different CRAC, a different PDU. The shape of the night will be the same.
That is what we are building to end.
[02] The Work
What we are building
Spektro is an AI agent that sits in front of that 2am alarm and does the work before it ever reaches the operator.
It grounds every investigation in your source of truth, correlates live telemetry against it, finds the root cause, and drafts the SOP or MOP your operator needs. The operator gets a summary, not a scramble.
It grounds its reasoning in your source of truth, whatever you use, so the agent starts every investigation with real structure: devices, dependencies, power and cooling paths, owners, topology. It correlates live telemetry against that structure, identifies the root cause, writes the incident context a human would need, and drafts the SOP or MOP your operator needs to act. The operator gets a summary, not a scramble. And when something does need a human on the floor, it arrives with the root cause and the procedure already attached.
The goal is not more automation. It is less firefighting. A shift where the floor stays quiet, because the events that would have escalated were already handled.
Recognize your overnight shift?
If you have lived the night above, reach out. Spektro is early, and operators like you decide what we ship next.