$ platform / ai-native
AI-Native.
Triage, summaries, anomaly detection — wired into the pipeline.
The problem.
Most AI in MSP tools is a chatbot bolted onto a dashboard.
It does not replace the work. You do.
We asked a better question: where inside the operating loop would a reasoning system actually earn its keep?
Our approach.
[01]
Inline triage
Classify, route, suggest runbook in under 2s. Every decision logged.
[02]
Session intelligence
Auto-summary, action items, billable minutes written before the tab closes.
[03]
Predictive ops
Anomaly detection on telemetry. Alert before the customer calls.
[04]
Our silicon, our weights
Most inference runs on NVIDIA GPUs we own, on open-weight models we fine-tune ourselves. The finance copilot and the alert-assist validation pass run on a US provider — it and every fallback are on the sub-processor register. No cross-tenant learning, no PII in training.