Purpose
Make intelligence useful in the real world.
MountAIn exists to close the gap between what an AI model can do in development and what a product can sustain where that intelligence matters.
Inside a camera, sensor, device or remote site, memory, power, data movement, toolchains and the surrounding application become part of the model problem. MountAIn was created to make that route practical.
Make intelligence useful in the real world.
A world where advanced intelligence can be deployed wherever it creates useful, positive value.
Remove the hard embedded engineering between trained models and deployed products.
Evaluate a trained model against practical edge-AI hardware before a long integration cycle begins.
Explore route 02Bring intelligence into an existing board, camera, sensor or product stack.
Explore route 03Turn visual data into useful local events where infrastructure is constrained.
Explore routeStart with the model, hardware, product or environment already fixed.
Show what was tested, what changed and what remains unproven.
Make intelligence fit the product without unnecessary platform change.
Proceed, change direction or stop before more time is committed.
Ready, Onboard and IBEX address different starting points with the same goal: intelligence that works beyond the lab.