Proven AI agents from the platform move directly onto engineers' local workstations: connected to benches, vehicles and engineering toolchains, running tests unattended 24/7, with confidential data kept local.
Studio dispatches tasks; Desktop executes under control and returns evidence
CAN / LIN / Serial (RS232 / RS485) / GPIO / Ethernet interfaces with safe adapter execution and read-back, bringing AI to benches and vehicles.
Test-execution agents run unattended and offline; Studio dispatches tasks, input artifacts and approval constraints, while Desktop returns status, logs, artifacts and evidence.
Build, debug, deploy and test-environment management in a unified harness for engineers.
Sessions, files, diffs, terminals and enterprise knowledge sources (local projects / SharePoint / Confluence) in one place, with the knowledge base accessed via MCP.
Optional scenario modules including ADAS data acquisition, Sim-HIL closed-loop testing and IVI vehicle automation, combined per project.
High-privilege automation is off by default, requires explicit authorization, is visible and can be disabled at any time; operation records and execution logs are auditable.
Execute tests on BCM / ADAS / IVI HIL rigs and vehicles, collect results and automatically produce verification evidence.
Generate unit-test cases and frameworks from detailed design and source code, execute locally and analyze coverage results.
Orchestrate multi-source sensors, buses, time synchronization, storage and replay flows to support data-driven iteration.