Manufacturing expertise.
Available within your organization.
Connect semiconductor ontology, knowledge retrieval and a local LLM to support engineering decisions. On-premises deployment helps keep sensitive manufacturing knowledge within your controlled environment.
Answers grounded in site knowledge
Put process-specific knowledge into the answer
A general-purpose LLM alone may not fully reflect the equipment, processes and decision criteria specific to each company.
Keep confidential expertise in-house
Process conditions and troubleshooting records often cannot be shared with external cloud services. Local deployment supports knowledge use within the customer’s data-handling requirements.
Understand the process.
Answer the engineer’s question.
An ontology structures concepts and relationships among manufacturing processes, equipment and failures. Retrieval connects relevant technical documents and work records to engineering questions, while a local LLM uses that context to generate answers and explanations.
Site knowledge & data
Technical documents, work records and available causal AI results
Semiconductor ontology + retrieval
Structure relationships among processes, equipment and failures; retrieve relevant information through a vector database
Local LLM & agents
Use retrieved context to answer questions, explain findings and support engineering decisions
For your engineers
Explain improvement proposals
Explain causal AI results and supporting evidence in language suited to the manufacturing team.
Process parameter guidance
Explore process conditions using relevant site information. Engineers review any proposed parameter changes before implementation.
Technical document & knowledge retrieval
Find relevant information in technical documents and work records using structured knowledge and retrieval.
Knowledge for design teams
Make relevant manufacturing insights available to design teams according to the site’s information-sharing requirements.
Run it on-premises.
Connect it to causal AI.
Deploy within your controlled environment, and combine the local LLM with the Causal AI Platform to explain analysis results to your engineers.
On-premises deployment
Knowledge retrieval and local LLM inference can run within your on-premises environment. Training, model updates and data-access conditions are defined for each deployment.
Causal AI Platform integration
Use available causal AI results as input, and explain improvement proposals and their supporting evidence in language suited to the manufacturing team.
Start with your manufacturing challenge.
Talk to us about your process, data and deployment environment.