Solutions
L²(LLM)
LLM × Layer — a domain-specific small language model (sLM)
Questions this page answers
- Can an LLM run on premises in a manufacturing environment?
- Can MES and ERP data be queried in natural language?
- Can regulatory documents such as GMP records be drafted with AI?
Why a small model
Using a large language model through an external API runs into obstacles on a manufacturing site. Process data and quality documents are hard to send outside, and when the network drops, so does the work.
L² is built on a small language model specialized in industry domain knowledge. Its lightweight design makes it straightforward for smaller manufacturers to adopt, and it answers accurately even in low-specification environments.
What it can do
Integrated with internal systems such as MES and ERP, it supports knowledge graph-based search and automated generation of regulatory documents.
When scattered work instructions, quality standards and equipment histories are connected into one structure, organizational knowledge survives staff turnover. L² aims at both day-to-day efficiency and turning that knowledge into a lasting asset.
Components and key capabilities
- Small language model (sLM)
- Learns industry terminology and knowledge, answering accurately even on modest hardware.
- Knowledge graph
- Structures the industry domain so relationships between documents and data can be followed.
- Internal system integration
- Connects to existing MES and ERP systems and answers from in-house data.
- Automated regulatory documents
- Takes repetitive regulatory and quality documents to draft stage automatically.