Pre-launch Development Status /

An AI-driven operational intelligence layer — now in active development.

Built for the minutes after an alert, when every tool has a clue and nobody has the full story. Aolbi sits above your existing observability stack as an AI-driven operational intelligence layer, automatically connecting scattered signals into a unified incident timeline.

Calm enough to scan. Precise enough to trust.

Operational Intelligence Layer In-VPC first OpenTelemetry native
01 Keep signal close

Respect the boundary. Keep telemetry where it belongs. We value your security over our convenience.

02 Explain the trail

Show the work. Make our reasoning instantly inspectable when the system is on fire.

03 Respect the stack

Work above existing observability tools, not against them.

What We Are Solving

Incidents still ask humans to assemble the truth by hand.

Problem

The cognitive load is unsustainable.

Metrics, traces, logs, and continuous profiles each hold a fragment, but constantly configuring the tools to track them is a full-time job. Aolbi connects those fragments for you, before the incident room fills with guesses.

Principle

No rip and replace. No mystery box.

No rip and replace. No mystery box. Aolbi should respect existing observability infrastructure, keep telemetry inside customer boundaries, and make its reasoning visible.

Roadmap

From prototype to trusted private validation.

Now / 0-12 mo

Correlation sandbox

Validate incident timelines across telemetry signals, alerts, and deployment events.

Next / 12-24 mo

Private workspace controls

Shape SSO, RBAC, audit visibility, and team-safe access around the correlation workflow.

Later / 24+ mo

Private beta readiness

Prepare deployment guidance, reliability reporting, and focused customer validation paths.

Development Transparency

What this status page will and will not claim.

Availability

Not generally available.

Aolbi is still being built. This page tracks development posture, not a public product launch.

Validation

Private and selective.

Early validation will stay focused on teams with real incident context and operational constraints.

Claims

Evidence before theater.

Technical claims, performance numbers, and product visuals will appear only when there is real evidence to publish.