Non-disruptive by design.
We work alongside existing equipment and workflows, not against them.
Our Approach
Built for the Floor
You Already Have.
RibAI is designed to work alongside existing systems and workflows. The approach is non-disruptive: use AI vision to create granular data at the point it is created, then make that context useful for understanding cause and effect, yield, productivity, and operational performance.
RibAI / ApproachNon-disruptive by design / built to augment existing systems
02 / Design premiseModern intelligence without replacing the floor
Modern intelligence.
Without replacing the floor.
RibAI builds computer vision and yield optimization tools purpose-built for mid-market processing facilities designed to work with the solutions already in place, not replace them.
01Operating principles
PROCESS CONTEXT / EXISTING FLOOR
Built to augment the systems already in place.
Most mid-market plants run solutions to capture lot data with no practical way to determine cause and effect hampering financial results. RibAI is designed to capture granular data at the point it is created.
Right-sized, not scaled-down.
This is not an enterprise platform with features removed. It is built around the operational reality of regional processing.
Active facility pilot
RibAI is currently proving this approach in an active facility pilot. More will be shared as that work matures.
02How the layer fits
Create detail where the activity actually happens.
The purpose is not another disconnected system. It is a practical intelligence layer that adds granular context to the production information teams already have.
AI vision
Use vision at the point of activity to create more detailed operational information.
Granular data
Create usable detail that complements lot-level information and existing workflows rather than asking teams to replace them.
Cause and effect
Give operators better context for yield, productivity, traceability, and continuous improvement.
03Practical fit
Augmentation, not replacement.
RibAI is intended to fit the operational reality of mid-market processing: valuable systems are already in place, workflows already exist, and improvement needs to happen without turning the floor upside down.
Keep the useful systems.
MES and established workflows remain part of the operating environment. RibAI is designed to add context around them.
Add granular information.
AI vision creates detail at the point it is created so teams have more context than lot-level data alone can provide.
Use the context operationally.
The goal is practical understanding of yield, productivity, traceability, cause and effect, and where to focus continuous improvement.
04Contact
A practical layer for the floor already running.
RibAI is working closely with a small number of pilot and early-access partners as the platform develops.
If you run a mid-market processing facility and want to learn more, we’d like to hear from you.
Contact Us