FUGO Precision 3D launches centrifugal vat photopolymerization system with integrated washing and curing

FUGO Precision 3D, a California-based startup, has introduced the Model A, a centrifugal vat photopolymerization (VPP) system that consolidates printing, washing, drying, and curing into a single automated chamber. The machine spins the build volume at up to 3,000 RPM, using centrifugal force to distribute resin evenly and eliminate visible layer lines. Co-Founder and CEO Alexander Meseonznik, alongside CTO Alexandr “Sasha” Shkolnik, designed the system to reduce manual post-processing and operator intervention. The F3D Studio software handles part arrangement and support generation, while the F3D Homebase platform enables centralized monitoring for multi-unit facilities.

This development targets a persistent bottleneck in polymer AM: the fragmented workflow between printing and post-processing. Most resin-based systems from competitors like Formlabs (SLA/DLP), 3D Systems (SLA), and Nexa3D (LSPc) require separate washing and curing stations, adding labor and cycle time. FUGO’s approach eliminates those transfers entirely, potentially reducing per-part handling time by hours for complex geometries. The centrifugal method also addresses surface quality and support material waste, two pain points in conventional VPP. If the system delivers on its claims of consistent finish and reduced manual labor, it could carve a niche in dental, jewelry, and small-series industrial tooling—verticals where surface finish and throughput are critical.

For FUGO, the immediate challenge is proving reliability and material compatibility at commercial scale. The Model A must demonstrate that centrifugal dynamics do not introduce defects in fine features or overhangs, and that the integrated wash-and-cure cycle works across a range of engineering resins. Buyers in medical and dental applications will require validation data before replacing established workflows. The company’s next milestone is securing beta customers and publishing benchmark results against standard DLP and SLA systems.