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Quaisr for mining strategy

Optimise the discovery-to-extraction process by grounding your exploration strategy in Agentic AI. With Quaisr, close the decision cycle between sparse geophysical surveys and high-confidence drilling decisions. Get geologists and geo-physicists to upscale continental data and halve the traditional timeline for new resource discoveries.

BAE Systems
AstraZeneca
Boeing Logo
European Innovation Council Logo
Catapult Digital Logo
QinetiQ Logo
Aerospace Xelerated Logo
Novartis
Microsoft for Startups
BAE Systems
AstraZeneca
Boeing Logo
European Innovation Council Logo
Catapult Digital Logo
QinetiQ Logo
Aerospace Xelerated Logo
Novartis
Microsoft for Startups
BAE Systems
AstraZeneca
Boeing Logo
European Innovation Council Logo
Catapult Digital Logo
QinetiQ Logo
Aerospace Xelerated Logo
Novartis
Microsoft for Startups
BAE Systems
AstraZeneca
Boeing Logo
European Innovation Council Logo
Catapult Digital Logo
QinetiQ Logo
Aerospace Xelerated Logo
Novartis
Microsoft for Startups
Calendar

Get data insights in hours, not weeks

Slash the time required to aggregate and analyse continental-scale survey data. By automating the connection between satellite feeds and geophysical models, Quaisr allows geoscientists to move from raw measurements to actionable insights in hours, not weeks.

Location pin

Save on expensive drilling operations

Minimise the financial and operational risk of exploration by upscaling sparse data with AI-enriched synthetic insights. Take advantage of a SimOps environment that reduces uncertainty in drill-hole planning, ensuring that every expensive operation is backed by a high-confidence probabilistic infill.

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Slash discovery cycles by half

Cut the traditional multi-year discovery-to-investment timeline by up to 50% with support from Quaisr. By democratising expert geophysics models across your organisation, Quaisr empowers your entire team to move from a detailed exploration to feasibility study with overnight data insights.

Mining pit

Mineral processing optimisation / refinery optimisation

The challenge

Physics-based refinery models are too slow for real-time operational decisions, and models run in silos disconnected from process, control, and supply chain data. High computational demands and a lack of user-friendly interfaces prevent process engineers from using simulations effectively.

The solution

Quaisr integrates real-time feed data, physics models, and control systems with fast surrogate models, using intelligent orchestration to switch between full and surrogate models as needed. LLMs combine real-time data with trusted models to make outputs accessible and actionable for operators.

The impact

Computation time cut by up to 80%, decisions made 30 to 50% faster, and over $12 million USD in cost reduction achieved at a FTSE 100 mining company.

Impact

Customer stories

Real-world applications of our platform across high-stakes industries. Explore how global enterprises use Quaisr to orchestrate simulations, data, and AI across the entire engineering lifecycle, turning complex system data into an operational edge.

Global Mining Major

These workflows are exactly how a geophysicist constructs them, but now they can scale.

Global Mining Major

The Quaisr team just finished the proof-of-concept as an example, and I get the impression they set it all up this morning!

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Wind Turbine

Quaisr for energy

Accelerate energy transitions by grounding your operational strategy in physics-based Agentic AI. Quaisr provides the SimOps backbone to unify market analyses, structural engineering, and carbon sequestration workflows within a secure enterprise environment.

Talk to an engineer

Schedule a technical deep-dive to discuss your specific simulation stack, HPC security requirements, and data protocols. See exactly how Quaisr fits into your existing architecture.

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