Published production-scale case

    How much did we save with a WLAM digital twin?

    In the validated flange case, simulation-guided parameters reduced deposition time and the direct variable cost of material, shielding gas and electrical energy—without separating process economics from manufacturing quality.

    1,860 h

    machine time difference per year

    $68k

    annual variable-cost difference

    Investigated baseline

    Time / part

    65.1 min

    Cost / part

    $43.81

    Annual time2,600 h
    Annual cost$105k

    Digital-twin optimized

    Validated

    Time / part

    18.5 min

    Cost / part

    $15.58

    Annual time740 h
    Annual cost$37k

    Approximately 72% less deposition time and 64% lower variable cost per part

    Based on 2,400 flanges per year. The dominant saving in this case came from reduced shielding-gas time, with electrical energy also contributing. These figures describe this published validation case—not a universal guarantee or full TCO calculation.

    Real World Use Cases

    From Simulation to Defect-Free Production

    See how our physics-based simulations predict outcomes and optimize process parameters before production.

    Animated simulation of thermal distortion compensation in LPBF

    Predict Deposition Defects

    Precisely tune laser power, feed rate, and robot motion to achieve consistent, high-quality deposition.

    Instantly detect process defects and eliminate trial-and-error — all driven by a high-fidelity digital twin.

    Powered by:

    Baal Hammon MultiPhysics

    Our SPH based Multi Physics Deposition Solver

    Digital Twin In Action

    Simulation and Optimization for Wire Laser Additive Manufacturing.

    Digital Twin in Action

    Watch our Digital twin simulate the exact material deposition process while predicting thermal distribution and enabling deposition optimization.

    Parameter Optimization

    Find the Perfect Process Settings

    Analyze multiple parameter combinations. Eliminate guesswork, reduce material waste, and maximize build quality for your metal additive manufacturing process.

    Digital Twin Simulation

    Simulate, Predict, Perfect

    Layer-by-layer simulations of your metal AM process give you accurate insights into melt pools, heat flow, and material behavior — so you can print with confidence.

    Process Window Detection

    Find Stable Parameters, Every Time

    Detect optimal process windows to ensure consistent part quality, prevent defects, and guarantee build integrity.

    Bring your process into the digital twin

    Tell us about the production challenge, robot cell or additive process you want to optimize.

    Join the waitlist