AI NetOps Engineer for Autonomous operations

90% reduction in MTTR : Always Working : Consistent outcome : Governed Actions

Hublvu connects to your existing stack to reason over alerts, investigate the issue, build explainable remediation plans, and execute the fix, closing the gap between detection and resolution.

  • Confidential
  • Licensed
  • Flexibility
Based on 645 reviews
The Problem

Where NOC Time
Actually Goes

Detection is a solved problem. Correlation, runbook retrieval, and execution are not. Most of the incident lifecycle is still manual, undocumented, and inconsistent across shifts.

0 %

of MTTR is manual cross-system correlation, before any fix is attempted.

KNOWLEDGE

  • No retrievable runbook for infrequent or novel fault types
  • Root cause resolution tied to individual engineers, not an institutional record
  • RCA documentation is inconsistent or skipped post-incident

PROCESS

  • Resolution path varies by engineer and shift
  • 4 to 6 systems checked manually before root cause is determined
  • L2 re-investigates L1's work due to unstructured handoff

CONTROL

  • Customer notification is manual and delayed
  • No system of record for SLA-threshold compliance
  • Audit trail is reconstructed after the fact, not captured during execution

The Problem

Where NOC Time
Actually Goes

Detection is a solved problem. Correlation, runbook retrieval, and execution are not. Most of the incident lifecycle is still manual, undocumented, and inconsistent across shifts.

0 %

of MTTR is manual cross-system correlation, before any fix is attempted.

Knowledge
  • No retrievable runbook for infrequent or novel fault types
  • Root cause resolution tied to individual engineers, not an institutional record
  • RCA documentation is inconsistent or skipped post-incident
PROCESS
  • Resolution path varies by engineer and shift
  • 4 to 6 systems checked manually before root cause is determined
  • L2 re-investigates L1's work due to unstructured handoff
Control
  • Customer notification is manual and delayed
  • No system of record for SLA-threshold compliance
  • Audit trail is reconstructed after the fact, not captured during execution

What Changes with Hublvu

  • Consistent same fault, same resolution path, regardless of who is on shift
  • Predictable the outcome stays the same no matter whose shift it lands on
  • Compliant every step lands on record automatically, not reconstructed later for an audit
What Hublvu Does

How Hublvu Works

Agentic means goal-directed, not scripted: Hublvu doesn't follow a fixed sequence of steps. It reasons over multi-system signals, selects the applicable resolution mode, and only then acts, under approval gates scoped by risk and blast radius.

How Hublvu works: knows, reasons, acts, and learns
where it Sits

Where Hublvu Fits in Your Stack

Hublvu does not replace ITSM, CMDB, or monitoring. It is a reasoning layer: read access to telemetry and system state, write access limited to approved changes routed back through your existing tools.

YOUR SYSTEMS

ITSM

CMDB

Observability

SIEM

Monitoring

alerts, tickets, and change requests flow down. findings and updates flow back up.

HUBLVU

REASONING LAYER
Correlates

context across your systems

Determines

root cause

Executes

the approved fixes

reads telemetry and state as read only. sends back only approved changes.

YOUR INFRASTRUCTURE

Network

Cloud

Compute

Containers

Configuration

A reasoning layer between the systems you already run

Proof It Works

A NOC That Scaled 3x Without Hiring a Single Person

A global fiber network operator absorbed three times its incident volume on the same headcount, cut time-to-identify from 45 minutes to 2, and is on track to pay back the investment within a year.

0 x

Incident Volumn Handled

0 min

MTTI Reduction

8 - 0 mos

Payback Period

Two Speeds, One Platform

Two Ways Hublvu Resolves an Incident

Hublvu picks the resolution mode to match the fault, not the other way around. Known, recurring issues run through a pre-approved runbook, the same deterministic steps every time. Novel or infrequent faults, with no matching runbook, are handled case by case, still inside the same approval gates.

01.

Known Issue

  • Your team gets one signed-off way of handling it, and everyone gets the same result no matter who's on shift.
  • Used for high value, high risk, and regulated work

02.

New Issue

  • When nothing on file matches, Hublvu works the problem live, pulling on your own systems and past incidents instead of starting blind.
  • Used for the long tail: rare, low risk, exploratory problems
THE PROBLEMS IT ACTUALLY SOLVES

Built for the Incidents
That Eat Your Week

INCIDENT
BEFORE
WITH HUBLVU

SD-WAN traffic steering drift (DSCP reset)

All circuits report healthy, no alarm fires, detected proactively.

95 min
5 min

Dead backup circuit

BFD probes confirm reachability, not capacity, failure surfaces only under load at failover, prevented via nightly synthetic load test.

62 minOUTAGE
0

Data center switch port alert storm

A single faulty SFP generates 47 discrete alerts in 90 seconds, topology-aware correlation reduces this to 1 root-cause ticket.

80 min
90 sec

Fibre circuit degradation (OTDR-correlated)

Gradual optical loss on a 99.999% SLA circuit, field dispatch generated before threshold breach.

130 min
UNDER5 min

Cross-system investigation tax

BGP peering degradation requiring manual lookup across CRM, CMDB, SLA, and ISP portal.

140 min
0
WHAT YOUR TEAM BECOMES

Where Engineer Time Gets Reallocated

Hublvu removes manual cross-system investigation from the incident lifecycle. Engineer time shifts from lookup and documentation to judgment calls on ambiguous or high-risk actions.

25 to 0 %

productivity gain

Stop Scaling Headcount to
Match Incident Volume

If growth means adding headcount every time volume goes up, the process is the bottleneck, not the people. Talk to us about what changes when the investigation happens before your team even picks up the ticket.