Leva · Thermoforming
Artificial intelligence for thermoforming companies
Every new mould resembles one you have already built. AI helps you find it.
The problem in this industry
Requests arrive with a drawing and a material. To estimate time and cost, engineering searches past moulds from memory and asks production for the parameters used.
Who buys
Food, medical and industrial companies producing trays, blisters and containers. Material, gauge and output decide.
- They search “tray thermoformer” or “recycled PET blister”.
- They watch cycle and mould-change videos.
- They compare on marketplaces and at packaging shows.
Demonstration examples, not client cases.
Mould estimate from a drawing
From the customer’s drawing, a first estimate based on moulds already built.
Search across existing moulds
Find similar moulds by shape and material in minutes.
Process parameters by material
The operator asks for starting parameters on a new material and gets those used in similar cases.
Time to estimate a mould
Time to find a similar mould
Trials needed on a new material
Can AI read CAD drawings?
It can start from drawings and metadata; details are checked in the prototype on your files.
Does the estimate replace the engineer?
No, it gives him a faster starting point.
Do we need a lot of historical data?
The moulds you have built are enough, even in mixed formats.
How do we start?
With one process, measured before and after.
Book a 30-minute call.
We understand your situation and tell you frankly whether and how we can help.