The AI Brain Behind Every Pallet Viroteq Builds
StackrBrain AI is the advanced AI optimization engine powering every Viroteq product. It calculates optimal pallet patterns, collision-free motion paths, and balances five competing objectives in sub-100ms per placement decision — without pre-teaching or rule databases.
Every Placement Decision. Every Pallet. Every Product. Powered by One AI.
StackrBrain is not a product — it’s the intelligence layer inside every Viroteq solution, making real-time decisions that would be impossible with rule-based systems or pre-programmed patterns.
Balances Five Objectives. Simultaneously. In Real Time.
Rule-based palletizing software optimizes one thing at a time. StackrBrain’s AI-driven decision making balances five competing objectives in a single pass — producing placements that are stable, dense, constraint-compliant, sequence-correct, and fast to execute.
- Pallet Stability (center of gravity, support surfaces)
- Volumetric Fill Rate (maximum density)
- Stacking Constraints (weight, fragility, orientation)
- Order Sequencing (LIFO/FIFO/route order)
- Cycle Time (fastest feasible motion path)
<100ms
500+
5
Self-Improving
Generalizes to New Products Without Pre-Teaching
Introduce a new SKU on Monday. Run it on Tuesday. StackrBrain handles new products automatically — no re-training, no rule-database updates, no operator programming. Trained on millions of simulated scenarios, the engine reasons from a product’s dimensions, weight, and constraints alone.
Traditional palletizing software needs a database of every box type. StackrBrain doesn't. It reasons about any product from its dimensions alone.
Sub-100ms Decision Making
For each incoming product, StackrBrain generates thousands of candidate placements, scores them against five objectives, and selects the optimal one — all in under 100 milliseconds. Fast enough to keep up with lines running 1,000+ cases per hour without the robot ever waiting on the software.
How StackrBrain Makes a Placement Decision
Product Data Received
Dimensions, weight, and stacking constraints stream in from the conveyor or WMS.
Pallet State Modeled
Current load, geometry, and stability are reconstructed as an internal model.
Candidate Positions Generated
Thousands of feasible placement candidates are evaluated in parallel.
Multi-Objective Scoring
Each candidate is scored against the five objectives balanced simultaneously.
Optimal Placement Selected
The highest-scoring placement is chosen and committed as the target pose.
Motion Path Generated
A collision-free trajectory is generated and streamed directly to the robot controller.
Trained on millions of simulated palletizing scenarios — every box shape, every stacking constraint, every edge case. StackrBrain sees patterns humans and rule-based systems never could.
Capabilities That Make StackrBrain Different
Self-Improving AI
Continuously learns from production data, improving decisions over time.
Multi-Constraint Handling
Weight limits, fragility, orientation, stackability codes — all simultaneously.
Stability Guarantee
Physics-aware stacking ensures transport stability and load integrity.
Mixed SKU Support
Handles 500+ unique product types in a single pallet without degradation.
Brand-Agnostic Output
Produces motion paths for FANUC, ABB, KUKA, UR, and Yaskawa controllers.
Explainable Decisions
Every placement decision is auditable with full reasoning and scoring data.
See StackrBrain in Action
Book a technical deep-dive and see how StackrBrain powers our products — from real-time decision making to multi-objective optimization.
Frequently Asked Questions
StackrBrain is Viroteq’s advanced AI optimization engine — the intelligence layer inside RobotStackr OTF, RobotStackr OS, RobotDepalr, and RobotStackr Vision. It calculates optimal pallet patterns, collision-free motion paths, and handles multi-objective optimization in sub-100ms per decision.
No. StackrBrain is the AI engine that powers Viroteq’s products (OTF, OS, DepalR). You don’t purchase it separately — it’s included in every Viroteq solution you deploy.
Under 100 milliseconds per placement. This is fast enough to keep up with high-speed palletizing lines running at 1,000+ cases per hour, without the robot waiting for the software.
No. StackrBrain generalizes to new products from their dimensions and constraints alone. You can introduce a new SKU on day one without re-training, re-programming, or updating rule databases.
StackrBrain handles 500+ unique SKU combinations per pallet without performance degradation. In production deployments with our customers, we’ve seen mixed pallets with hundreds of different products, each with their own constraints.
Yes. Every placement decision is auditable — you can inspect the candidate positions that were evaluated, the objective scores for each, and the reasoning behind the final selection. This is critical for production troubleshooting and compliance.
Products Powered by StackrBrain
RobotStackr OTF
Real-time on-the-fly palletizing. StackrBrain calculates optimal placements as each box arrives, without pre-sequencing.
RobotStackr OS
Order-based palletizing. StackrBrain plans the entire pallet before the robot starts, ensuring minimum pallet count per order.
RobotDepalr
AI-powered depalletizing. StackrBrain plans collision-free pick sequences for mixed-SKU pallets.
Ready to Put StackrBrain Inside Your Cell?
Every Viroteq deployment ships with the StackrBrain AI engine. Book a demo to see real-time decision making, multi-objective optimization, and intelligent pattern generation in your own production context.
