MSA — Metallurgy Sanat Asan Tak
MSA AI · Technology initiative
An initiative by Metallurgy Sanat Asan Tak to turn two decades of technical knowledge into a searchable, source-grounded system.
RAG
With RAG, a language model first retrieves relevant information from a curated document library, so answers rest on real sources rather than model guesswork.
01
Data sheets, standards, reports and field experience.
02
Content is chunked and indexed for semantic search.
03
The most relevant passages are found for each technical question.
04
Answers cite their original sources.
Applications
Support for foundry material selection
Fast access to technical data sheet information
Steelmaking and alloying knowledge reference
Assistance with casting defect analysis
Training for technical staff
Roadmap
Phase 1
In progress
Phase 2
Planned
Phase 3
Planned
Phase 4
Future
Demo
This is a demonstration only and is not yet connected to an AI system.
Example: Which coating suits cores for steel castings?
This demo does not generate answers. For technical questions, please contact MSA experts.
Universities, research centres and industrial partners are invited to collaborate on MSA AI.