Design,by intelligence.
Every industrial design task, routed to its optimal executor. Human, AI, or Hybrid.All languages supported
Qarya means village in Arabic.
It is where it all started, a place where people knew each other, every craft fed the next, and the community was entirely self-sustained. Designer, maker, farmer, blacksmith, a tight loop of skills sharing one purpose.
QARYA brings that same spirit to the machinery sector: a small, self-sustained network of humans and AI that know each other's strengths and allocate every task to whoever, or whatever, can deliver it best.
Built for the machinery sector
Neural Decision Network
Real-time visualization of how every project parameter influences the final allocation.
5-axis Task Footprint
Empathy, concept-space, optimization, speed, and budget mapped to a live radar chart.
Hybrid Orchestration
Spin up blended teams of human designers and AI agents tuned to each brief.
Instant Re-allocation
Move sliders, watch resources rebalance with smooth, deterministic animations.
Auditable Logic
Every recommendation comes with a transparent, deterministic justification.
Resource Pool Vision
Track utilization across human, AI, and hybrid units from a single console.
Three steps to optimal allocation
Describe the brief
Tune five sliders that characterize the project's empathy, novelty, optimization, urgency, and budget profile.
Watch the network
The neural decision graph lights up clusters and edges in real time as parameters change.
Deploy the team
Receive a deterministic Human / AI / Hybrid split with a written justification ready for execution.
Usage across the design process
At every stage from research to manufacturing, QARYA continuously rebalances Human, Hybrid, and AI effort.
Projects move from brief to delivery over 3x faster once QARYA routes each task to its best-fit resource.
AI variant generation cuts almost half of the back and forth revision loops between designer, engineer and client.
Share of tasks where QARYA's Human, AI or Hybrid verdict matches expert judgment during validation runs.
The decision engine, cost model and community insights stay online continuously, no scheduling or downtime.
A decision engine for design & manufacturing
QARYA sits between the creative brief and the workshop, deciding what should be crafted by humans, generated by AI, or produced together — and then explains why.
Reads your brief in plain language
Type or upload an image of the task. QARYA extracts the design intent, constraints and complexity in seconds — no forms to fill.
Scores five decision dimensions
Empathy, concept-space, optimization, speed and budget are quantified from the brief so the routing is transparent, not a black box.
Recommends Human, AI, or Hybrid
You get a verdict with reasoning, a rough Bill of Materials, cost ranges, and the digital-fabrication platforms best suited to the job.
Shares insight with the whole village
Every run enriches a shared cloud of projects, inventory and analytics so freelancers and factories learn from each other.
The five signals QARYA reads from every brief
Each slider on the dashboard is grounded in a published design or management theory, and maps onto a row of the QARYA Interdependence Matrix (Human · AI · Hybrid).
How much the outcome depends on lived experience, cultural nuance and user emotion. High Eᵢ pushes tasks toward humans and co-design.
How far the concept space (C) must expand beyond known knowledge (K). High C_exp calls for divergent human ideation before AI convergence.
How much value comes from squeezing mass, strength or cost through iterative search. High O favors AI generative and simulation loops.
How compressed the schedule is versus the workload. Higher S shifts routine work to AI so humans focus on judgment calls.
How tight the cost target is relative to scope. Interacts with the BOM estimate to bias toward cheaper platforms and processes.
The QARYA community, right now
The people behind QARYA
A Master Thesis project at Poznań University of Economics & Business.
Dr hab. Robert Romanowski
Department of Commerce and Marketing
Poznań University of Economics & Business
Engineer Mostafa ElDaly 🇪🇬
Master's Student · Innovation Management
Poznań University of Economics & Business
Ready to allocate intelligently?
Step inside the QARYA control room and experience hybrid intelligence in motion.