Anton AI
A specialized local AI platform for rubber, elastomer and tire development.
Anton AI is being developed to combine technical knowledge, formulations, raw materials and testing data into one intelligent development environment.
Become a Pilot Partner →AI designed for Rubber Engineering
General-purpose AI systems know a little about almost everything. Anton AI is being developed differently: as a specialized digital development engineer focused on rubber technology, elastomers, compounds and tires.
Raw Materials
Compare polymers, carbon blacks, silica, resins, oils, curatives and other ingredients using technical data and internal company knowledge.
Formulations
Analyse existing formulations and development variants and connect recipe changes with measured compound properties.
Testing Data
Bring rheometer, hardness, tensile, DMA, RPA and other laboratory data into the development context.
Technical Knowledge
Make technical literature, internal reports and historical development knowledge searchable and usable.
Development Support
Support engineers in analysing compound behaviour, comparing alternatives and identifying technical relationships.
Industrial Experience
Extend the system over time with knowledge from mixing, calendaring, extrusion, curing and tire manufacturing.
Local AI. Your knowledge stays under your control.
Compound formulations, test results and development histories are among the most valuable intellectual assets of a rubber company.
Anton AI is therefore designed around local AI and controlled data environments. Sensitive development information does not need to be transferred to public cloud AI systems.
From company data to development intelligence
Anton AI is intended to transform existing technical knowledge into an active development resource.
Import
Existing formulations, material data, reports and laboratory results.
Structure
Connect ingredients, formulations, properties and technical knowledge.
Analyse
Search, compare and analyse historical development information.
Develop
Use existing knowledge as a basis for future compound development.
Example questions for Anton AI
N234 versus N339
How do these carbon blacks differ regarding reinforcement, abrasion, hysteresis and processing in a tire tread compound?
Compound Development
Which formulation changes in previous development variants reduced hardness while maintaining modulus and abrasion?
Knowledge Retrieval
What do our internal data and technical literature say about reducing hysteresis without sacrificing reinforcement?
Interested in Anton AI?
Anton AI is currently in development. RUBUCON is interested in discussions with rubber manufacturers, compounders, tire companies and research partners who want to explore practical applications of local AI in materials development.
Contact RUBUCON →