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Phaseshift Technologies

The startup utilizes its Rapid Alloy Design (RAD)™ platform, which combines AI and Multi-Scale Simulations to design and optimize new alloys 100 times faster than traditional methods. This technology addresses the high costs and lengthy timelines associated with materials engineering by delivering bespoke alloys tailored to specific performance requirements in various industries.

Toronto, CanadaFounded 201961K+ followers
Updated 4 months ago

Funding

$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Traditional materials engineering is expensive, time-consuming, and often yields suboptimal results due to the limitations of conventional alloy design methods. The process of discovering and optimizing new alloys to meet specific performance requirements can take years and involve significant trial-and-error, hindering innovation across various industries.

Solution

The startup accelerates materials engineering by using its Rapid Alloy Design (RAD)™ platform, which combines AI and Multi-Scale Simulations to design, optimize, and evaluate new alloy chemistries up to 100 times faster than traditional methods. The RAD™ platform leverages physics-based machine learning algorithms (MatterMind™) to discover relationships between materials, processes, structures, and properties. Multi-Scale Simulations (Cascade™) link nano- and micro-scale behaviors to real-world material performance. By tailoring alloys to specific needs, the platform enables the creation of bespoke materials with enhanced strength, improved thermal conductivity, corrosion resistance, or biocompatibility.

Target Audience

The primary customers are engineers and organizations across industries such as aerospace, automotive, energy, and medical devices seeking advanced materials with specific performance characteristics.

Features

  • Rapid Alloy Design (RAD)™ platform combining AI and Multi-Scale Simulations
  • MatterMind™: Physics-based machine learning algorithms for material discovery
  • Cascade™: Multi-Scale Simulations platform linking nano- and micro-scale behaviors to real-world performance
  • Inverse design process to tailor alloys to specific performance requirements
  • Ability to design alloys with enhanced strength for aerospace components
  • Ability to design alloys with improved thermal conductivity for automotive systems
  • Ability to design alloys with corrosion resistance for energy infrastructure
  • Ability to design alloys with biocompatibility for medical devices
This profile is AI-generated and may contain inaccuracies.