System view
Connect geology, mine operations, processing, cost, energy, emissions, and product outcomes.
About OreNeda
Built from a practical mining question.
How can decisions made in the resource, mine, and plant be evaluated together before their consequences appear downstream?
Origin
From mining engineering research to operational decision support.
OreNeda was developed from mining engineering, mine-to-mill optimisation, digital mining, and operational decision-support research. Its purpose is practical: help mining teams connect resource knowledge to downstream operating and product outcomes.
Mission
OreNeda exists to make complex mining decisions traceable, reviewable, and operationally useful.
Founder
Founder-led, mining-focused, system-first.
OreNeda is led by Pouya Nobahar, combining mining engineering, simulation-based product development, AI/ML modelling, and value-chain optimisation into a focused decision-support platform for the resources sector.
View OreNeda on LinkedInMining value-chain modellingSimulation and digital twin designAI/ML and engineering model integrationDecision governance workflowsCommercialisation and partner readiness
Model-to-decision
Turn simulation, AI/ML, and engineering models into recommendations teams can inspect.
Operational trust
Keep assumptions, confidence, constraints, and review context visible before decisions scale.
- Research basis
- Mining engineering, mine-to-mill optimisation, digital mining systems, and operational decision support.
- Practical purpose
- Help mining teams connect resource knowledge to downstream operating, product, cost, energy, and risk outcomes.
- Commercial direction
- Pilot-led collaboration with mining companies, technology partners, investors, and university commercialisation teams.
From data to shared decisions
Technical services, operations, processing, leadership, and partners need one evidence-based conversation when decisions cross the value chain.
Principles
Decision support that stands up before it scales up.
OreNeda is shaped around operational context, engineering judgement, model transparency, and site validation before any recommendation is trusted.
Operational reality first
Start from the messy conditions of mines, plants, people, constraints, and time windows.
Integration over silos
Connect specialist systems into decision context instead of replacing the tools teams already trust.
Explainability before black-box automation
Make assumptions, confidence, source data, and model limits visible before recommendations are used.
Evidence before recommendation
Support every proposed action with constraints, sensitivity context, provenance, and reviewable reasoning.
Site-specific validation
Treat deployment as a validation pathway with site experts, not a generic software rollout.
Built for
Mining teams and partners who need decisions to hold up under review.
OreNeda is shaped for people who need to connect technical detail with operational, commercial, and governance decisions.
Mining operators
Technical services
Plant and metallurgy
Innovation teams
Strategic partners
Investors
Future direction
A platform direction for site-specific validation.
The next stage is collaboration with mining companies, technology partners, research groups, and investors who want to test integrated decision support against real operating questions, available data, and practical deployment pathways.
Collaborate with OreNeda
Start with a decision workflow and validate it with site evidence.
OreNeda is looking for practical pilot, technology partnership, and commercialisation conversations where decision support can be tested against real mining workflows.