The actual problem is routing, not more parameters
A robotics, AI device, drone, sensor or industrial prototype buyer often starts with an application target rather than a finished MPN list. Public parameter tables are useful, but they rarely answer whether an alternative can be designed in, whether small-batch samples are available, or whether MPW, package/test and sourcing should be coordinated together.
What an AI-native platform should do first
The first useful step is a non-confidential routing brief: application, current MPNs or missing functions, benchmark alternatives, sample quantity, target schedule, country, and constraints. MST can then route the request to SKU, sourcing, MPW, design or a technical guide before a human confirms fit, quote, lead time and acceptance.
Where to start
A scenario-first path for AI device and accelerator-adjacent prototype teams that need chip, power component, MPW, design and sourcing routing before quote review.
Robotics / embodied AIA practical semiconductor routing path for robotics, embodied AI and intelligent hardware teams comparing chips, power components, substitutes and samples.
Mature-node MPW prototypeA mature-node MPW, packaging/test and design-readiness path for prototype silicon teams that need non-confidential screening before NDA or secure file exchange.
For immediate routing, use Ask MST AI. Submit only non-confidential context; price, stock, MPW schedule, PDK/NDA, logistics and substitute approval remain MST-confirmed.