Four products.
One AI lifecycle.
Connect inspection, causal analysis and knowledge tools to ongoing operations with MLOps. Each product can also be deployed independently.
Combine them around your process needs.
Detect & classify defects
02 / Analysis & prediction Causal AI PlatformEstimate potential causes and process outcomes
03 / Knowledge Ontology-based Local LLMRetain knowledge and support site decisions
Products can be deployed independently. The rollout sequence is designed around your priorities and environment.
A shared foundation.
Your specific requirements.
The shared semiconductor analytics foundation helps establish a PoC. The customer-specific layer then adapts data flows, equipment, operating procedures, quality criteria and approvals for production.
Customer-specific layer
Fab environment / equipment / recipes / quality criteria / approvals
Shared platform layer
Semiconductor analytics / standard MLOps / model management
Start where the need is. Expand in stages.
An inspection-led rollout is one possible path. Start with the product that addresses your immediate challenge, then add capabilities as your requirements evolve.
Deploy visual inspection AI
Evaluate impact in the inspection process.
Operate with MLOps
Monitor model performance and manage retraining and updates through defined approval workflows.
Analyze and predict with causal AI
Identify issues and predict process outcomes.
Use knowledge with a local LLM
Retain site expertise within your organization.
Fit the systems and data paths already at your site.
Integration is scoped around your existing equipment, data sources, network boundaries and operating requirements. Available interfaces and data paths are confirmed for each project.
Data sources to assess
- Inspection data Existing AOI outputs and inspection images
- Equipment data Process parameters, tool data and sensor measurements
- Manufacturing systems MES, quality records and related production data where interfaces and access are available
Interface compatibility, data transfer, storage locations, access controls and approval requirements are defined during implementation planning.
From the cloud to the factory floor.
Cloud, on-premises, hybrid and edge PC options. We design around data confidentiality, response time and existing systems.
Start with your manufacturing challenge.
Talk to us about your process, data and deployment environment.