AMIS launches Runtime automating complete build-preparation workflow for industrial AM
AMIS Runtime automates import, metadata correction, intelligent nesting, slicing and export for SLS, MJF, Binder Jetting and Material Jetting and can continuously re‑nest builds before printing.

AMIS, part of Hybrid Software Group PLC, launched AMIS Runtime on February 17, 2026, a Node.js‑scriptable automation and scripting engine that the company says automates the entire build‑preparation workflow for industrial additive manufacturing. AMIS describes Runtime as the first platform to offer "fully autonomous, continuously re‑nested build preparation," handling part import, metadata correction, intelligent nesting, multi‑format slicing and export across SLS, MJF, Binder Jetting and Material Jetting systems.
Runtime exposes a Node.js API that connects into AMIS Pro, bringing programmatic control to each stage of build prep. Users can define nesting behaviour by geometry type, size class, shell density, metadata flags and business rules, and assign separate optimisation strategies to different part categories within the same workflow. Those configuration options are designed to turn manual decisions into repeatable, auditable rules that feed into automated batch jobs and downstream formatting.
AMIS positions the continuous re‑nesting capability as a key differentiator. The company says that if a build is not yet printing, Runtime will automatically rearrange the nesting design to account for new orders or shifted objectives without manual human intervention, enabling schedules to adapt to changing priorities. Kris Binon, Managing Director at AMIS, framed the product around production economics: "Build preparation drives both quality and economics in additive manufacturing. By automating this step, AMIS Runtime helps users achieve better density, fewer errors, and smoother workflows, and that translates directly into lower cost per part and more predictable production. Early adopters already see the difference in day‑to‑day operations."
AMIS reports Runtime was trialled at two industrial production sites prior to public release, and early adopter feedback shaped priorities including programmable nesting logic, automated multi‑format slicing, metadata handling and batch recovery following partial print failures. The automation engine includes recovery behaviour to reallocate parts and resume batch work after partial failures, a capability aimed at high‑volume batch management and repetitive workflow bottlenecks noted during testing.
Company messaging on AMIS’s social channels emphasizes operational integration and scale. "With AMIS Runtime, you can record, replay and script your nesting workflows, automate repetitive tasks, and integrate AMIS Pro’s powerful capabilities into larger digital ecosystems. Imagine running batch jobs enforcing company‑specific nesting rules, and connecting seamlessly to MES/MIS systems – all without sacrificing speed or precision," the post reads, and AMIS lists features such as ultra‑fast nesting, maximum packing density with density control, technology specificity for MJF, SLS, BJ and MJ, integration‑readiness and scalability for serial production.
Open questions remain for users and integrators evaluating Runtime in their shops. AMIS has not published public pricing or licensing details, specific supported machine models and vendor file formats, quantified performance metrics for packing density or throughput, or named the two pilot sites that informed development. AMIS also has yet to confirm whether Runtime’s optimisation layer uses AI or ML and to publish full API documentation and deployment requirements for on‑premises or cloud installations.
AMIS Runtime arrives as a direct extension of AMIS Pro’s Q\Nest capabilities and represents the vendor’s push to make build preparation a programmable, integration‑ready layer for industrial AM shops seeking hands‑off, repeatable production.
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