Trained model → deployed product

Deployable intelligence

Intelligence
wherever it matters.

MountAIn removes the hard embedded engineering between a trained model and a deployed product. Bring the model you trust. Keep the hardware and toolchain that fit your design.

Industrial AI camera
Application / camera
01Trained model
02Selected hardware
03Working product
The model is only the beginning
Deployment gap detected

A model can perform well in development and still fail the product test.

Memory is tight. Power is finite. Toolchains do not line up. Hardware-specific work multiplies. Connectivity may be unreliable or unavailable. The last mile between model and product becomes a new engineering programme.

MountAIn turns that last mile into a repeatable path.

MemoryPowerToolchainLatencyMaintainability

Three routes to the edge

Start with what is already decided.

One technical foundation, shaped around three different starting points.

Edge AI model and hardware deployment workflow
01

For teams choosing or promoting edge-AI hardware.

MountAIn Ready

See how a trained model can fit a target before committing months of integration work.

Explore MountAIn Ready
Industrial machine vision camera
Application / camera
02

For product teams with hardware already selected.

MountAIn Onboard

Bring the model into the existing board, camera, sensor or device stack without rebuilding the product around a new AI platform.

Explore MountAIn Onboard
Remote infrastructure operating at dusk
03

For operators working where power, bandwidth or access are constrained.

IBEX by MountAIn

Move from continuous video transfer to local, event-level intelligence at remote sites.

Explore IBEX by MountAIn

One technical foundation

MountAIn Core connects the whole application path.

A developer workflow, compiler and middleware optimise the trained model, target constraints and surrounding software together. It is not another model catalogue or generic cloud layer.

See Technology & Core
Microcontroller above misty pastel hills
InputTrained model
CoreWorkflow
CoreCompiler + middleware
OutputSelected target
Familiar workflowOn-device proof

Built for teams that have to ship

Beyond the lab demo.

For developers, product teams and ecosystem partners working where memory, power, latency, security, cost and maintainability determine whether intelligence is useful.

Developers
Product teams
Hardware ecosystems
Field operators

Early Adopter Program

One model. One target. One result to reproduce.

Selected teams get a controlled route to test a real deployment constraint and help shape the path to production.

See the Early Adopter Program

One Core · many forms

From product shell to operating environment.

Application path
Robotic factory applicationIndustrial machine vision camera

Make intelligence useful in the real world

Start with the constraint you already know.

Find your route