Aultis
Orchestrating absolute silence from systemic chaos for teams that cannot afford noise.
Initiate
Orchestrating absolute silence from systemic chaos for teams that cannot afford noise.
InitiateAayan Mateen grew up in Leh, Ladakh — at 3,500 metres, where the air is thin and patience is not optional. That is where the doctrine of Digital Aultis comes from. Not a metaphor borrowed from mountaineering literature, but a way of moving through the world that was learned before it was applied to systems.
Every pipeline we lay, every cluster we tune, is a small act of stillness against the noise of modern software. Observe before you act. Move deliberately. Leave no trace.
Multi-region foundations on AWS, GCP and bare metal. Designed once, scaled silently.
Deployment as a calm ritual — reproducible, signed, observable, reversible.
SLOs, error budgets, on-call hygiene. We measure stillness in nines.
Internal developer platforms that turn velocity into a steady cadence.
LLM serving, tool orchestration and agent observability — intelligence that runs quietly and accountably.
We practice DevOps with a new generation of agentic methods. AI agents sit inside our pipelines, our incident response and our review process — observing, diagnosing, and acting under human approval.
Every solution below is curated, not improvised: chosen for restraint, wired for auditability, and deployed only where it removes noise rather than adding it.
Agents that watch CI, diagnose the failure, retry what is transient and roll back what is not — before a human is paged.
Incident triage agents that read traces, metrics and runbooks, then draft the first response while the on-call engineer is still pouring tea.
Policy-aware review agents wired into every pull request — security, style and architectural drift caught at the door, quietly.
Your internal tools exposed to agents through governed MCP servers — scoped, audited, revocable. Capability without exposure.
Traces, evaluations and drift guards for agents in production. If intelligence acts on your systems, it acts on the record.
Runbooks that execute themselves under human approval — remediation as a reviewed, reversible, one-click ritual.
We build on the Cloud Native Computing Foundation ecosystem — graduated projects first: Kubernetes, Prometheus, Argo, Helm, OpenTelemetry, Envoy, Cilium. Vendor-neutral by doctrine, so your platform outlives any single cloud, contract, or fashion.
Pre-product-market-fit, a €20 server with Docker Compose beats a managed container platform on cost, speed and sleep. The real numbers — and the honest moment to switch.
Terraform taught us to declare machines instead of building them by hand. The next step is infrastructure that is operated by agents — and agents that are themselves declared, reviewed and promoted like any other artifact.
On-call, code review, runbooks, postmortems — every ritual of DevOps is being renegotiated as AI agents take their place in the loop. What survives, what inverts, and what becomes more important than ever.