Infyniq AI Inc.
Cloud-native scheduling & planning for mining
Features Live demo Contact Optimization engine online
New AI-native optimization for mine schedules

Turn messy mine data into beautifully optimized schedules.

Infyniq AI plugs into your existing stack and generates production-ready schedules for pits, fleets, and shifts — in minutes. Run “what-if” scenarios, compare plans, and let the engine handle the constraints.

↓ 18–32% rework Less time in spreadsheets, more time validating plans.
↑ Fleet utilization Balance loads, dumps, and shifts across the site.
Designed for heavy industry. Works alongside existing mine planning, FMS, and data platforms — not against them.
Infyniq Optimizer • Simulation
Scenario: Night shift – Pit C
Haul utilization Updated live
Trucks balanced across dumps +11.8% throughput
Schedule quality
All hard constraints satisfied
Feasible ✓
Rehandle risk
Stockpile levels within bounds
Low
Shift handover
3 pending constraints
Review
AI proposal: Accept & publish schedule ▸

Built for scheduling and planning in real mines

From daily dispatch to monthly planning, Infyniq AI is a cloud-native optimization engine that understands constraints, not just KPIs.
Plug-in architecture • API-first • Cloud or hybrid
⛏
Short-term scheduling
Generate feasible shift schedules for pits, benches, and dumps with equipment and operator constraints baked in.
Daily / weekly cycles • Haul & loading • Shovel-truck pairing
📊
Scenario planning
Run “what-if” experiments: breakdowns, price changes, new pushbacks, or contractor fleets — compare scenarios side by side.
Multi-scenario runs • KPI deltas • Reproducible configs
☁️
Cloud-native APIs
Trigger optimizations from your planning tools, FMS, or BI platform. Everything is exposed via secure, documented APIs.
REST • Auth tokens • Audit logs
🧠
AI-assisted tuning
Let the AI suggest better constraint sets and weightings, while you stay in control of the final schedule.
Smart defaults • Explanations • Human-in-the-loop
🛰
Data from the field
Integrate telemetry, FMS, and ERP data so your schedules reflect what is actually happening on site.
Streaming / batch • Connectors • Site digital twin
🛡
Enterprise-ready
Role-based access, audit trails, and deployment patterns that work with your IT and security policies.
SSO ready • Environments • Versioned models

Play with a mini optimization demo

This is a simple, front-end only demo — just to give a sense of how quickly Infyniq can respond when you hit “Optimize”.
No backend here yet — imagine this wired into your real site data.
Night shift • Pit C → Crusher 2
Hit Run mock optimization to see a simulated run. We’ll animate the progress bar and update the KPIs on the right.
Waiting for input…
Constraints 250+ Time horizon 12 hours Decision variables 40k+
Press “Run mock optimization” to see a sample result. In production, this is where you’d compare against your baseline schedule.
Throughput vs baseline
+0.0%
Crushed tonnes / hr
Queueing at shovel
–0.0 min
Average truck wait
Plan feasibility
0 / 0
Hard constraints satisfied
CO₂ per tonne moved
0.0%
Relative to baseline
Ready to see Infyniq on your data?
We’re working with mines and technology partners who want a modern optimization engine behind their scheduling and planning workflows.
Drop us a note at info@infyniqai.com with a short description of your site and planning tools.
  • Short discovery call to understand your constraints & KPIs.
  • We propose a proof-of-concept scoped to one mine or use case.
  • If it works, we scale to more sites, more horizons, and more systems.