Caracol unveils Eidos update: AI-powered robotics for large-format AM workflows

Caracol is using Formnext 2025 (Hall 12.1, C101) to further expand its Eidos Manufacturing Software Suite for large-format, robot-assisted 3D printing. After a year that included acquiring additive assets from Hans Weber Maschinenfabrik and a $40 million Series B financing, the company is focusing on scalable, more automated production workflows for aerospace, energy, transportation, and maritime applications.

At the core of the update is tighter integration of slicing, simulation, and process control with complementary processes. Eidos Builder not only orchestrates the print path but also integrates 3D scanning and robotic milling into automated job chains. Eidos Nexus serves as the IoT and control hub and is being expanded with “AI Control”: sensor data from the cell—such as temperature, path deviations, or material flow—feeds into learning controllers that adapt parameters to target dimensional accuracy and surface quality. This reduces manual interventions and lays the groundwork for reproducible series routes on Caracol’s Heron AM and Vipra AM platforms.

At the booth, Caracol is showcasing large-format functional parts from industrial projects with partners such as Alstom, NP Aerospace, the UK Digital Manufacturing Center, JOME, and CPC Group. Also demonstrated is a catamaran prototype produced in a 120-hour run using the Heron AM platform, illustrating the continuous processing of fiber-reinforced thermoplastics at large scale. Giovanni Avallone, Chief Innovation Officer, will present the new Eidos features on November 18 at 16:00; a subsequent panel discussion with industry representatives will address the use of robotic LFAM technologies in sea, rail, and road mobility.

With the expansion of Eidos and its coupling to sensors and post-processing, Caracol is sharpening its offering as a connected manufacturing ecosystem. For users, this results in an end-to-end toolbox spanning path planning, in-situ monitoring, and CNC finishing, making large-format AM parts more readily qualifiable closer to the process.