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MSA — Metallurgy Sanat Asan Tak

MSA AI · Technology initiative

Metallurgical knowledge, made accessible with AI

An initiative by Metallurgy Sanat Asan Tak to turn two decades of technical knowledge into a searchable, source-grounded system.

RAG

Retrieval-Augmented Generation

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

Collect documents

Data sheets, standards, reports and field experience.

02

Organise knowledge

Content is chunked and indexed for semantic search.

03

Retrieve context

The most relevant passages are found for each technical question.

04

Grounded answer

Answers cite their original sources.

Applications

Potential applications in foundry and steel

01

Support for foundry material selection

02

Fast access to technical data sheet information

03

Steelmaking and alloying knowledge reference

04

Assistance with casting defect analysis

05

Training for technical staff

Roadmap

Vision and current development status

Phase 1

Scope definition and source collection

In progress

Phase 2

Internal prototype

Planned

Phase 3

Pilot with selected partners

Planned

Phase 4

Broader availability

Future

Demo

Chat interface preview

This is a demonstration only and is not yet connected to an AI system.

MSA AIPrototype

Example: Which coating suits cores for steel castings?

Collaboration opportunities

Universities, research centres and industrial partners are invited to collaborate on MSA AI.