Autonomous IT operations for regulated environments.
Continuous infrastructure health scoring and automated remediation, running inside your private cloud — never outside it.
Every layer that can hurt you, scored continuously.
Dataloom watches the systems an outage actually rides on — virtualization, terminal servers, application stacks, backup jobs, and security telemetry — and scores the health of each in real time.
Virtualization
Hypervisor health, VM state, resource pressure, cluster events.
Terminal servers
Session counts, profile load, connection latency, broker health.
Application stacks
Service uptime, queue depth, error rates, dependency health.
Backup jobs
Job success, RPO drift, restore-test outcomes, retention compliance.
Security telemetry
Auth anomalies, endpoint signals, policy drift, integrity events.
Score. Intervene. Track. Escalate.
When a health score crosses the intervention threshold, Dataloom runs a measured remediation loop. Fixes attempted, impact recorded, engineers brought in only when human judgment is required.
Score
Every layer is continuously scored against expected behavior.
Threshold
When a score crosses the intervention threshold, the loop engages.
Remediate
A measured remediation is attempted — bounded, logged, and reversible.
Track
Impact is recorded against the action, feeding the next score.
Escalate
When human judgment is needed, engineers receive the full context — not a page.
Your operational data never leaves your environment.
Dataloom deploys as a dedicated instance inside your Phoenix private cloud. Telemetry, scores, remediation history — all of it stays on infrastructure you control.
For organizations operating under insurance, financial, or logistics compliance frameworks, that's a requirement — not a feature.
See Dataloom run against your own infrastructure.
45-minute working session. We connect Dataloom to a sandbox of your stack and walk through three real operational tasks — live.
Autonomy, with guardrails that hold up under audit.
Regulated industries don't get a pass on AI governance. Dataloom was built with that reality first.
Bounded autonomy
Dataloom acts within thresholds you define. Human judgment is escalated to — not bypassed — when the situation demands it.
Private by default
A dedicated Dataloom instance lives inside your Phoenix private cloud. Operational data never leaves your environment.
Transparent reasoning
Every score, every threshold trip, every intervention carries its evidence chain. No black-box answers for compliance-sensitive work.
Reversible actions
Every remediation records its inverse. If something surprises you, you roll it back — not rebuild it.
See it on your own stack.
A 45-minute working session. We connect Dataloom to a sandbox of your environment and walk through three operational tasks live. If it doesn't feel like a real teammate, we stop.