Most AI operational work still happens through glue code, manual queries, and one-off scripts. That slows response and makes repeated investigations expensive.
AnoSys pipelines turn raw telemetry into repeatable workflows: enrich signals, evaluate outcomes, trigger alerts, generate summaries, and route actions.
Use pipelines for repeatable operational work: enrich records, run evals, schedule checks, generate summaries, and trigger downstream action.
Pick the traces, events, process units, evals, dashboards, or datasets the pipeline should operate on.
Add ownership, customer, workflow, cost, policy, release, or business context before analysis.
Run scheduled checks, summaries, scoring, anomaly detection, and custom transformations.
Create alerts, reports, tickets, exports, or handoffs when the pipeline finds something important.
No. AnoSys can ingest through OpenTelemetry, REST APIs, SDKs, JavaScript, pixels, and cloud storage.
Yes. Pipelines can run on recurring schedules and maintain history, status, logs, and actions.