Building the future of virtual lab assessments
We partnered with a leading IT training provider and built a three-phase automated assessment platform. In Phase 1, we created a custom workflow engine that captures low-level OS interface signals and lets content teams visually define validation logic, slashing reliance on manual reviews and PowerShell scripts. In Phase 2, we integrated LLM-driven automation to compare student actions against task descriptions, driving error rates below the human baseline and eliminating most human intervention. In Phase 3, we developed agentic, multi-modal vision capabilities that autonomously generate and execute shell scripts and visually validate actions across Windows, Linux, macOS, terminals, and device interfaces—yielding a truly environment-agnostic, scalable solution. We’re now extending the platform with automated lab provisioning and real-time adaptive tutoring agents to keep our clients ahead as AI evolves.