Role-based operations
Annotators, senior annotators, QA reviewers, project leads and administrators can work through distinct operational views.
AI operations infrastructure
Operational infrastructure for distributed AI data work, workforce coordination, quality assurance and measurable delivery.
VAIOps is designed to coordinate AI data operations as a managed system rather than a collection of disconnected spreadsheets, chat groups and manual checks.
Capabilities
Annotators, senior annotators, QA reviewers, project leads and administrators can work through distinct operational views.
Assignments, availability, training, onboarding and delivery workflows can be managed in one operating environment.
QA scorecards, review stages and escalation paths can turn quality control into a measurable operating process.
Leads can monitor throughput, workload, status and delivery without exposing restricted financial or administrative information.
Operational documentation, simulation work and training assets can be connected directly to project execution.
Projects can move through controlled checkpoints before client delivery, reducing avoidable quality and process failures.