The MeRA^™ platform is the first fully autonomous tailoring system—an end-to-end robotic line engineered for the challenges of deformable materials. MeRA combines industrial-grade robotics with a suite of proprietary mechanical innovations: adaptive 2D forms that stabilize and tension flat fabric panels, adaptive 3D forms that shape and support garment geometries, precision fixturing that manages stretch and drape, and custom tooling that folds, aligns, and positions materials so they can be bonded with micrometer-level accuracy.

Each module uses dynamic 2D and 3D forms, supported by material-aware fixturing, to control fabric geometry across every step—guiding panels, holding contours, managing tension, and ensuring consistent alignment. This enables robots to perform sewing-equivalent motions—placing, folding, tracing seams, pressing, and bonding—at speeds up to 20× faster and with 2× the precision of manual methods, producing ~250 garments per hour in a compact footprint.

By turning garment construction into a sequence of robotic manipulation tasks supported by engineered 2D and 3D forms and tooling, MeRA delivers high repeatability, fast changeovers, and reliable SKU variability without hard tooling, bringing robotics to soft-goods manufacturing at commercial scale for the first time.

Automating soft-material assembly required rethinking the joining process itself. Pixel™ is a digital micro-adhesive joining process—purpose-built for apparel—that replaces the mechanical limitations of stitching with a faster, cleaner, and more consistent method of forming seams.

Pixel applies adhesive in high-resolution micro-patterns that control strength, stretch, flexibility, and drape for each join. The process deposits, activates, and cures these patterns with precision, creating stitch-equivalent or superior bonds without thread tension, needle perforation, or operator variability. The result is a seam that is lighter, stronger, and more uniform than conventional stitches or bonded tape.

Because Pixel is a programmable process, it scales seamlessly into automation. Its deposition geometry, thermal profile, and cure behavior are engineered to work in robotic workflows, enabling consistent seam formation across diverse fabrics, hybrid materials, and complex garment geometries. Thermo(re)set™ extends this capability with reversible bonds for repair, rework, and material recovery, supporting circularity in casual apparel at scale.

By pioneering a digital bonding process for everyday garments, Pixel transforms how soft goods are constructed. It moves joining from a mechanical craft to a precise, software-guided operation, unlocking speed, quality, and design freedom while forming the foundation for truly on-demand, automated apparel production.

Physical AI is the foundation of CreateMe’s software and data strategy for soft-material automation. It extends our early CV/ML perception work—where algorithms identify fabrics and track geometry—into a broader, forward-looking system aimed at understanding, predicting, and responding to real-world material behavior.

This emerging stack brings together perception, prediction, control, and simulation. It is being trained on a proprietary data pipeline built from thousands of production scenarios across garment and material types. These datasets support our growing suite of vision models, state estimators, and motion-control policies, forming the basis for more adaptive decision-making over time.

As Physical AI matures, it will enable automation to behave less like scripted motion and more like adaptive response. The system is being developed to determine how to tension panels, anticipate seam paths as materials shift and correct for geometry changes—all capabilities that unlock broader fabric and garment variability without requiring hardware redesigns.

By shifting more complexity into software, Physical AI is designed to reduce reliance on highly specialized robotics and mechanical tooling, lower overall capex requirements, and enable simpler, more extensible systems. This approach positions CreateMe to scale more efficiently and extend into additional soft-material manufacturing domains as the technology advances.

Physical AI is the roadmap enabler that will allow our platform to expand across garment and fabric types and support the next generation of adaptable, autonomous soft-goods manufacturing.