Growing every year
- Infrastructure+38%
- Applications+47%
- Cloud services+54%
- Operational alerts+62%
AAQUILIX AI detects, diagnoses, and safely remediates >70% of IT Infra, Application and DB incidents inside your own network — governed by your policies, with audit trails on every action and unit-based pricing that bills per Server, Database, or devices, never per ticket.
AI resolves >70% of incidents autonomously (L1 · L2 · partial L3) · Need 100%? Talk to Sales about Fully Managed Service
The problem
Infrastructure scales every year, but teams, budgets, and manual workflows stay nearly flat. The gap becomes operational risk.
Capacity added: +3%
More infrastructure creates more work, while the underlying delivery model remains manual.
AAQUILIX AI turns operational signals into governed action—diagnosing, resolving, and documenting incidents without adding another layer of manual work.
Every figure comes from live AAQUILIX deployments—not projections, benchmarks, or best-case demos.
L1 and L2 incidents diagnosed, remediated, verified, and logged by AIRO.
Alert to verified recovery for autonomous L1/L2 incidents.
No per-ticket overage, renewal uplift, or reactive hiring cycle.
Select capacity, add the infrastructure domains you operate, and get one predictable price—without per-ticket fees or bundled shelfware.
L1, L2 and partial L3 incidents resolved automatically, 24×7.
Full L1 and L2 resolution for up to 25 Windows VMs. No credit card required.
Teams & pilots
Most popular
Full-scale operations
On-prem / classified
AAQUILIX is deployed across banking, healthcare, retail, manufacturing, government and telecom — delivering measurable reduction in human escalations, MTTR, and total cost of operations.
Autonomous resolution
Watch AAQUILIX detect the root cause, select the approved playbook, execute the fix, verify recovery, and close the ticket.
Disk usage reaches 96% on prod-db-01.
Agent-07 identifies 18.4 GB of stale query logs.
DB_Disk_Critical_v2 runs within policy guardrails.
Disk returns to 42%; health check and audit pass.
Performance comparison
Compare median production results across 12 enterprise deployments with the traditional MSP model.
AI classifies, diagnoses, and executes the fix before a human reads the alert.
GoalSet policies control execution. Every action is logged, explainable, and rollback-ready.
Cost per endpoint falls as AI coverage expands instead of rising at every contract renewal.
The productivity commitment is measured monthly, enforced by SLA, and visible in telemetry.
Deployed against regulatory pressure, latency budgets, and uptime contracts. Three production engagements, summarized.