Connect your manufacturing data, create a living digital model of your operations, simulate thousands of scenarios and let AI identify better ways to run production.
See How It WorksExplore the Digital Twin
Where AI meets factory know-how.
Demo numbers are illustrative.
From operational data to better production decisions. BIX is a continuous AI optimization layer for manufacturing operations, with the people who run them built into the loop.
Manual, periodic, engineer-driven.
Continuous, data-driven, human-validated.
Select a machine. Bottlenecks are flagged automatically from live utilization and queues.
All figures are illustrative.
Plant managers and engineers ask in plain language. Answers come from the operational model and the simulation engine, not from a language model's guess.
Generative AI alone should not be trusted to optimize an industrial line. BIX splits the work so each part does what it is good at.
Reads data, finds flows, dependencies and constraints.
Tests possible outcomes against the model.
Looks through configurations for better ones.
Turns results into clear recommendations.
People approve the decision.
Change the line and watch the model respond. Demo calculations only, not a real model of your plant.
Studies once or twice a year age quickly. Here, operational data keeps the model current and the system keeps looking for improvements.
The real result is compared with the expected result after every change. The gap improves both the model and the operation.
AI can simulate a thousand ways to improve your factory. Only your people can make the best one work.
The hardest part of industrial AI is often not the technology. It is building enough understanding, confidence and trust for people to use it. BIX combines technology, people and process, and treats the experience of operators and engineers as information that makes the model better.
Understand what is happening.
Discover better ways of operating.
Help people turn insights into real improvements.
Data analysis, pattern recognition, simulation at scale, optimization, continuous monitoring, speed.
Experience, context, practical knowledge, creativity, judgement, understanding of the factory.
The best factory isn't run by AI instead of people. It's run by people who have better tools to make better decisions.
Earlier, the twin recommended cutting Machine 3 cycle time by 6%. An engineer knows something the data doesn't show:
AI learns from the factory. AI learns from the people. People learn from the AI. Illustrative.
Implementing AI in manufacturing is not only an IT project. BIX helps organizations move from experiment to trusted recommendation, to operational adoption, to continuous improvement.
Technology moves fast. Organizations don't have to be rushed. BIX builds the bridge in four steps.
Help employees see what the AI is doing and why.
Bring operators, engineers and managers into defining constraints and judging recommendations.
Use simulation and controlled experiments to show expected improvement before production changes.
Introduce improvements gradually, measure real results and build confidence.
AI finds the opportunity. People make the change.
BIX doesn't start by asking you to hand control of the factory to AI. As confidence grows, you decide where more automation makes sense.
You decide how far to go. Select a level.
Built for automotive, industrial manufacturing, food and beverage, electronics, chemicals, pharmaceutical manufacturing, packaging, metal processing, machinery and consumer goods.
Use the systems you already have — or build an AI-native optimization environment from the ground up.
On top of existing technology. Nothing to replace.
No simulation platform yet? BIX builds and maintains the model from production data, process information and human input. Engineers validate assumptions.
BIX supports industrial decisions. It does not blindly control machinery.