Use casesAutomated multi-axis slicing
Core technology

From CAD to toolpath. Fully automated.

Multi-axis additive manufacturing unlocks geometries that 3-axis printers cannot reach. But the software hasn't kept up. Preparing a single complex part for a 5-axis or robotic system still takes days of manual work, deep specialist knowledge, and repeated trial-and-error prints. Flexam changes that.

5-axis non-planar toolpath visualization
● live 5-axis · figli

The problem.

Current slicing software was designed for 3-axis gantry printers with a single printing strategy. Multi-axis systems (5-axis machines, 6-axis robotic arms) open up hundreds of thousands of possible strategies, but no existing tool can navigate that complexity automatically.

The result: engineers manually select slicing approaches, configure over 200 interdependent parameters, and physically print the part to verify. It routinely takes two to five attempts to get an acceptable result. Days or weeks are consumed before production even begins.

This isn't just a problem for small shops. Large manufacturers face the same bottleneck. They depend on a handful of deep specialists, and those specialists cannot scale fast enough to meet growing demand for customized, high-performance parts.

What we built.

A fully automated pipeline that takes a 3D model and produces production-ready multi-axis toolpaths without manual parameter tuning.

Step 01 · Geometric analysis

Ingest STL or STEP files. Automatically detect overhangs, thin walls, curvature, flat surfaces, and other critical features across the entire model.

Step 02 · Intelligent segmentation

Partition the part into distinct print regions based on geometry. No manual splits, no hand-tuned rules. The software determines where strategy boundaries belong.

Step 03 · ML-driven strategy selection

For each region, a machine learning model selects the optimal slicing strategy (planar, conformal, non-planar, conical, or helical) based on the geometry and accumulated process data.

Step 04 · Multi-axis toolpath generation

Generate collision-checked, joint-limit-aware toolpaths for 5-axis machines and 6-axis robotic arms. Seamless transitions between regions with different strategies.

Step 05 · Production-ready output

Emit a complete motion program with a versioned process log. Every parameter is traceable. Every decision is documented.

Step 06 · Continuous improvement

Capture process data from every print. Feed results back into the ML model so strategy selection improves with each production run.

The impact.

What used to take days of expert preparation now takes minutes. Engineers with basic manufacturing knowledge can operate advanced multi-axis systems confidently. Material waste drops because trial-and-error printing is replaced by data-driven decisions from the start.

This is the technical foundation of every Flexam deployment. The same automated core adapts to different machines, processes, and materials, from polymer extrusion to metal deposition to continuous fiber placement.

Specs.

Hardware
5-axis printers, 6-axis robotic arms, multi-axis industrial systems
Input formats
STL, STEP, OBJ
Pipeline
Geometric analysis → segmentation → ML strategy selection → multi-axis toolpath → motion program
Strategies
Planar, conformal, non-planar, conical, helical, and an extensible library
Funding
Supported by the Austrian Research Promotion Agency (FFG) under Basisprogramm #63496936
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