Vtool’s flagship tool Cogita processes massive amounts of simulation/emulation data from textual log files and waveform databases to provide a visual root cause analysis. It uses machine learning algorithms to prepare and process input data as well as direct the next inspection point while making assumptions and conclusions in the root-cause analysis process.
It processes data from a broad range of inputs, including simulation UVM logs, VIP logs, emulator logs, software messages, CSV files and waveform databases, and reads any log-file format: UVM/Specman simulation, LAB equipment, HW accelerators, etc.
Vtool also provides consultation services.
