FactoryFit Studio
AI-powered production system design
FactoryFitStudio.com

Make factories configurable.

FactoryFit Studio is an early interface for exploring production systems like a design space, not a static report. Set the goal. Generate the options. See the trade-offs move.

Launch Prototype
factoryfit.mission

> production_goal = 95 JPH

> generate(feasible_systems)

> compare(bottleneck, margin, risk)

> decide_next_move()

Core belief

Compress weeks of concept evaluation into a decision loop.

FactoryFit Studio turns production concepts into something you can move, compare and challenge. The goal is simple: make the best system option easier to find before money, equipment and time are committed.

Goal Define the target. Let the system expose the options.

The interface should quickly show what is feasible, what is risky, and what decision moves the system forward.

FFS FactoryFit Studio
Decision layer Throughput

Start with JPH and capacity margin. Expand from there into the variables that shape the system.

Founder memo

Build the interface first. Then train the intelligence behind it.

This prototype is intentionally focused. The point is to validate the interaction model: can production decisions become visual, fast and explorable?

The next layer is data. Generate customer-specific experiments, train predictive models, and let the interface move from guided exploration to decision intelligence.

Product path

From prototype to industrial operating layer.

Try it now
01 · Interface A production-system cockpit.

Make the decision visible: target, system options, bottleneck, risk and best next move.