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Powering Cutting-Edge Analysis
With Advanced Methodology + Accuracy

From structural design to 3D printing, AlphaSTAR’s comprehensive suite of simulation products and tools delivers on bottomline results.

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From structural design to 3D printing, AlphaSTAR’s comprehensive suite of simulation products and tools delivers on bottomline results.


Virtual qualification of advanced materials & structures to cut engineering time.


Improve ROI by reducing costly tests, material scrap rate, trial & error.


Easy to use and easy to learn.

Trusted by Businesses
Around the World

Enterprise operations to small businesses entrust AlphaSTAR

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An Award-Winning Industry Leader

Proven over 30 years, our best-in-class products combined with expertise in material science solves complex problems.

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Lean on our team of experts to guide which solution is right for you.

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GENOA 3DP is an award wining software that offers unparalleled ability to model various additive manufacturing processes and materials across polymer and metal applications. Users can implement micro & macro voids into their process models resulting in virtual precision assembly. The end result is the ability to identify optimal build plan and parameter setting for a quality build in place of costly trial & error.

GENOA Multi Scale Progressive Failure Analysis is a tested & verified simulation tool that augments traditional Finite Element solvers to predict behavior of advanced composite materials & structures subject to various loading conditions. The platform helps reduce the need for expensive physical experiments.

MCQ (Material Characterization & Qualification) is the material modeling tool that enables ultra-rapid design and analysis of advanced composite materials, such as continuous & is continuous PMC, CMC and MMC. MCQ is analytically based and accountins for “as built” and “as-is” states taking into consideration manufacturing defects, and effect of uncertainties in material properties and specimen geometry.




International Conference on Additive Manufacturing: JW Marriott Anaheim

November 1-5, 2021

ICAM 2021 is the largest ASTM International scientific conference and provides a forum for the exchange of ideas and to transition the research to applications, focusing on the need for industry-specific standards and design principles as well as challenges with qualification and certification.
Join the AlphaSTAR team for 2 presentations.
  1. Sensory Real-Time In-Situ Monitoring Toolset for Additive Manufactured Parts.
  2. Tailored Steel Microstructure with Increased Strength and Elongation by Additive Manufacturing.

America Makes: Platinum Member

AlphaSTAR is a committed and collaborative partner in additive manufacturing (AM) and 3D printing technology research, discovery, creation, and innovation.

Data collection

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Guaranteed ROI

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Always Online

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Hindustan Aeronautics Limited Bangalore, India

By using the GENOA Multi-Scale PFA software, we were able to gain valuable insight into damage and fatigue tolerance of the rotor craft.

Dr. R. Vijay Kumar


AlphaSTAR’s GENOA and MCQ have given us the edge in safely designing ceramic hot engine components subject to engine environments.

Sung R. Choi


With MCQ and GENOA, users have the freedom to use a reverse engineering approach to make material modeling decisions based on application usage and without anticipating the need to have raw data from material suppliers. The simplicity in calibration and ability to predict test results accurately without having to rely on part testing has never been so easy.

Bob Jovas

IRT Jules Verne

We needed software capable of analyzing the materials, modeling the AM process and accurately replicating composite SLS & FFF printing methods. With advanced features, such as analysis of temperature dependent material properties beyond glass transition temperature and the high compatibility with our numerical tools, we felt GENOA 3DP was the perfect fit.

R&D Simulation Engineer, Tuan Linh Nguyen


The prediction of thermal history, material state, and process maps, by GENOA 3DP TMg, are used to predict all important phenomena and regions are key components of successful builds. We found that knowing all of this information beforehand sets up for a successful final simulation with multi-objective optimization of the component and support structure to minimize mass and scrap rate while minimizing the pitfalls of AM

Alicia Leslie


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