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BSKLab.ai
Research

Exploring the Technologies Behind Industrial Intelligence.

BSKLab.ai investigates how artificial intelligence, manufacturing knowledge, industrial data and modern computing architectures can work together to improve industrial operations.

01Research areas

Eight Lines
of Investigation.

01

Industrial RAG

Research how retrieval-augmented generation can provide AI systems with engineering and manufacturing context.

02

Manufacturing Knowledge Graphs

Explore structured relationships between processes, equipment, sensors, controls, documents and engineering knowledge.

03

Industrial AI Agents

Investigate agents capable of supporting engineering, quality, maintenance and operational workflows.

04

Local & Private AI

Evaluate local LLMs, GPU infrastructure, inference architectures and private industrial AI deployments.

05

Industrial AI IOT

Evolving from predictive manufacturing models toward live industrial data: sensors, edge collection, IIoT signals and connected equipment feeding predictive quality and reliability.

06

Physical AI

AI embodied in the physical world — computer vision, autonomous driving, autonomous flight, robotics, and perception-driven action in manufacturing environments.

07

AI + Operational Excellence

Investigate how AI can augment Lean, Six Sigma, Industrial Engineering and continuous improvement workflows.

08

Semantic / Digital Twin

Evolving from capturing industrial knowledge toward structured semantic models of the plant: digital twins, knowledge graphs of the physical factory, and machine-readable representations of manufacturing reality.

02Research notes

Notes, Experiments
and Technical Analysis.

Engineering notes from active investigation — not peer-reviewed publications. Where results are not measured, we say so.

03Context

Research Feeds
the Architecture.

Every investigation maps back to a layer of the industrial AI stack we deploy in practice.

06

Applications

  • Engineering Copilot
  • Plant Knowledge Assistant
  • Predictive Quality
  • Process Optimization
  • Root Cause Analysis
  • Workflow Automation
05

Agents

  • Engineering agents
  • Research agents
  • Quality agents
  • Maintenance agents
  • Operational agents
04

Intelligence

  • LLMs
  • Machine Learning
  • Computer Vision
03

Knowledge Infrastructure

  • Ingestion
  • Embeddings
  • Vector search
  • RAG
  • Reranking
  • Knowledge graphs
02

Knowledge

  • Manuals
  • SOPs
  • Engineering documents
  • Specifications
  • Historical information
  • Operational knowledge
01

Industrial Systems

  • PLC
  • Sensors
  • SCADA
  • MES
  • ERP
  • Industrial databases
04Next step

From Investigation
to Working Prototype.

Research findings move into Labs, where they become prototypes tested against real manufacturing conditions.