We're building the autonomous on-call your team deserves.

Every engineering team we've worked with — startups, scale-ups, public companies — has the same hidden cost: a brittle layer of human attention spent watching dashboards, triaging incidents, and writing post-mortems. It's the reason engineers burn out. It's the reason teams keep hiring SREs but can't move faster.

We built NEXIS because the existing observability stack is excellent at detecting problems and miserable at solving them. Sentry tells you something broke. Datadog tells you what changed. PagerDuty wakes someone up. A human still has to do all the actual work of figuring out what went wrong and writing the fix. That last mile is where the cost lives.

Our wager is that a fleet of specialised agents, each expert at one stage of recovery and constrained to your own contracts and tests, can close that loop — with the engineer staying in the loop on anything that matters.

In early 2026, Ratul and Maya were on-call together at a data infra company. A 3am page fired because a Sentry rule had matched a noisy log line in a deprecated service. They spent forty minutes acknowledging the alert, paging through dashboards, and finally writing a one-line YAML change to silence it.

The next morning, they sketched out a system where each step of that forty minutes — detection, correlation, fix, validation, approval — was its own specialised agent. They wrote the first prototype that weekend.

NEXIS is what that prototype turned into after eight months of building, talking to SRE teams at twelve companies, and shipping the first six integrations. We're a small team building deliberately — operators first, closed loops only.