Mineral processing and metallurgy
Plant design and commissioning, a PhD on slurry dewatering and monitoring, and digital twins for operating processing plants.

About Eleticle
Eleticle helps Australian businesses adopt AI in a practical, controlled, and privacy-aware way. The focus is useful workflow support, not generic chatbots or loose experiments.
Founder
Mineral processing engineer turned data scientist, Brisbane
George Bai founded Eleticle to make AI useful in everyday business operations. Based in Brisbane, he brings together mineral processing engineering, data science and automation to build practical workflows that keep people in control of important decisions.
Through Eleticle, George has successfully helped small and medium-sized businesses across a range of industries streamline their day-to-day operations. Examples include finance brokers, a car rental company and tourism operators in Brisbane, with work spanning enquiries, document checks, inbox triage and reporting. Each workflow reduces repetitive work while keeping a person responsible for the decisions that matter.
George began his career as a processing engineer. His PhD at The University of Queensland applied modelling and AI to mineral processing operations. He has since built industrial digital twins and predictive models for mining and energy companies. More recently, he has developed AI agents and AI-powered workflows for energy trading and day-to-day industrial operations.
Why founder-led matters
The hard part is often deciding what to automate, what to leave manual, what data to expose, and where review belongs. Keeping discovery, design, delivery, and support connected helps those decisions stay practical.
Relevant experience
Plant design and commissioning, a PhD on slurry dewatering and monitoring, and digital twins for operating processing plants.
Applied modelling, analytics, automation, and decision-support work across real business contexts.
Experience translating technical data, physical systems, and operational signals into useful workflows.
Many shipped agent apps on local and cloud models: retrieval, document processing, inbox triage, and multi-app workspaces, each designed around data boundaries, review points, and adoption.
How delivery works
The delivery model starts with one workflow and one clear boundary, then expands only after the prototype has been tested with the people who will use it.

The picture shows a workflow once it is built: a scoped brief moves through private research, drafting and analysis inside a governance loop. The five steps below are how we get there.
01
Discovery
A free session on one workflow that should not still be manual.
02
Workflow design
What the assistant may read, prepare and hand back, and where a person decides.
03
Prototype
A scoped app in your Eleticle workspace, on the deployment you choose.
04
User testing
The people who will use it try it on real work, and it changes with them.
05
Handover
Training, documentation and support, with the next workflow only when this one works.
Eleticle works with Australian small and mid-sized businesses that handle operational knowledge, documents, client information, repeat enquiries, admin processes, inventory, scheduling, or other workflows where privacy and control matter.
Important judgement, sensitive customer interactions, final approvals, and business accountability stay with people. AI prepares, searches, extracts, checks, and drafts inside the workflow boundaries.
Request a short review to explore whether private AI is a practical fit for your business.