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Spacecrafts
Space-Grade Simulation for Extreme Environments
Our software models the simultaneous effects of harsh environmental factors on spacecraft materials:
• Gamma and X-ray radiation exposure
• Atomic oxygen erosion
• Thermal cycling fatigue
• Long-term vacuum & UV degradation
• Inert thermal aging dynamics
Karax: AI-Powered Digital Twins for Advanced Materials
Accelerate material development, predict degradation, and optimize performance using physics-informed artificial intelligence.
. Predict aging and failure under real-world conditions
. Simulate long-term material behavior in days, not years
. Design high-performance polymers with AI-driven optimization
. Monitor assets remotely with predictive accuracy
Materials We Analyze & Optimize
We support simulation and reliability analysis for a wide range of aerospace-grade and high-performance materials:
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Structural adhesives & bonding agents
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Teflon-based insulation layers
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Thermal blankets & barrier coatings
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Advanced composite resins
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Gaskets, seals, and mechanical joints
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Dielectric & insulating polymers
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Connector and cable interface polymers
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Electronic component packaging materials
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Thermal interface pads and gap fillers
About Karax
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Karax develops AI-powered engines for advanced material science, specializing in polymer prediction under multi-stress environments. From discovering novel compounds to optimizing materials for extreme conditions (radiation, thermal, chemical), our deep-learned models deliver reliable simulations. Karax’s platform accelerates polymer R&D by providing precise, real-time forecasts of material behavior — ideal for aerospace, automotive, energy, and electronics industries. With a focus on ease of use and technical accuracy, our solution empowers both researchers and engineers to design better materials, faster.
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Polymer degradation
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Polymer aging prediction
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Polymer durability
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Polymer life prediction
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Polymer performance degradation
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Polymer material aging
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Polymer part life cycle
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Polymer component degradation
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Polymer part aging
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Polymer part life prediction
K- Suite Software
Advanced Polymer Aging Software with Physics-Driven AI
"Unlock the power of polymer aging software with Karax’s K-Suite, a physics-driven AI toolkit designed for precise material degradation analysis. Unlike traditional simulation tools, K-Suite delivers superior accuracy with minimal testing data by integrating physics laws and expert insights. Empower your team to:
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Design and optimize polymer materials for extreme environments.
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Predict polymer degradation and material evolution with confidence.
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Identify critical zones with advanced polymer simulation software.
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Achieve reliable results for industries like space, defense, and automotive."
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Testing
Accelerated Age
Comprehensive Polymer Analysis Services with
K-Suite
Material-Specific Polymer Aging Analysis
Harness polymer aging software to create digital twins for precise material analysis. K-Suite accelerates innovation in industries like space and automotive by optimizing polymer performance.
System-Level Polymer Degradation Simulations
Simulate polymer degradation at the system level with K-Suite’s advanced finite element (FE) tools. Predict material behavior in extreme environments for reliable outcomes in defense and nuclear applications.
Expert Training for Polymer Simulation Software
Master polymer simulation software with our expert-led training. Learn to use K-Suite for finite element analysis (FEA) and optimize material performance in real-world scenarios.
Consulting for Material Degradation Analysis
Our material degradation analysis consulting helps you tackle complex challenges. Leverage K-Suite to enhance material reliability in aerospace and automotive projects.
Expert Witness for Polymer Reliability Cases
Get expert witness support for polymer reliability cases. Our team provides in-depth analysis using K-Suite to support legal and technical evaluations in high-stakes industries.
Consulting for Material Degradation Analysis
Applications
Considering low computational cost and short development cycle of our Physics-based AI-driven engines, they provide a powerful alternative for processing of existing data with significant cost advantage in analysis, design and optimization of the polymer materials.
Resins
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Composites
Coatings
Elastomers
Adhesives
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Thermal Pastes
Insulation
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Di-electrics
Engine can be used to help designers in selection and maintenance of composite materials by providing input on polymer degradation over times. Our engine can particularly describe the following behaviors for epoxy, PU, Cyanate and carbon-carbon composites.
- Pyrolysis
-Ablation
-Irradiation
Coatings can be optimized for their anti-reflection, or refractive index matching performances in specific conditions, such as automotive industry or space.
Typical materials are silicon dioxide, tantalum pentoxide, magnesium
fluoride, zinc sulfide and thorium fluoride
Gaskets, seals and O-rings can be specifically designed to achieve certain properties in extreme environments, such as high pressure, high temperature, corrosive, or radiate environments. Fluorinated elastomers can be specifically designed to excellent corrosion resistance, but are not as
good under radiation.
Our engines can accelerate the search process for new formulations to achieve target-specific products that can stand the test of severe environments such as
- Extreme Vibrations
- Intense Heat
-Extreme Cold
- Ionizing Radiation
-Hot & wet conditions
In extreme applications, Cable and wiring insulation are a major concern. Our engine can help the designers to estimate performance of certain insulation materials against projected environment. The engine is specially relevant in space electronics, such as in bus, thruster and antenna deployment areas, or in Nuclear cables and wires.
About Us:
Karax was founded in 2019 to help address industry unmet needs on reliability of polymeric materials in extreme environment. We have bought together a team of experts to mature computational know-how and Material Science to develop software to simulate polymer aging and polymer degradation in different applications.
