Building AI that reduces engineering burnout, not just MTTR

Veloix Technologies Private Limited was incorporated in 2026 in Pune, Maharashtra, to build practical AI tools for engineering teams running production infrastructure. VeloOps is our first product.

It started from a pattern we kept seeing on the other side of the pager: a bad deploy fires nine near-identical alerts for the same underlying failure, the on-call engineer spends the first twenty minutes just figuring out what changed, and by the time the actual fix happens, the most expensive part of the incident is already over — and nobody is measuring it.

The tools available to most teams were split between two poor options. Static threshold alerting was predictable but noisy, paging the same person for the same failure from five different checks. Generic AIOps platforms were fluent but opaque — confident dashboards with no visible evidence behind the conclusion, which is not something you can hand to an engineer mid-incident.

VeloOps takes the middle path. It correlates the anomaly against your actual deploy history and infrastructure changes before it generates an explanation, shows the evidence and confidence behind every root cause, and groups related alerts into a single incident instead of paging your team nine times for one failure. That is a less dramatic pitch than a platform that claims to fix everything automatically, and it is the version engineering teams can actually trust at 3am.