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AI Copilot for aerospace MRO
and manufacturing
Basetwo provides a complete process engineering solution that integrates data pipelining, model simulation, economic optimization, and quality control into a single low-code platform.
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Leverage Basetwo for scheduling and scenario analyses in aerospace assembly lines
Basetwo enables engineers to analyze and streamline assembly processes, reducing cycle times and facilitating real-time monitoring and data-driven decision-making for continuous improvement.
Reduce the overall cycle time of the assembly line (i.e. AFAL) via balancing
Develop an understanding of factors that lead to non-conformance events and delays
Operationalize adaptive task and resource scheduling at workstations in response to supplier delays
MRO 4.0 — upgrade your strategy and safeguard your operations against costly disruptions
Aircraft equipment prognostics (engines, landing gear, ECS, etc.) — receive AI-generated maintenance recommendations to extend the lifecycle and utilization rates for aircraft and UAV fleets (platform/OEM agnostic)
Supply chain and part forecasting — use AI to forecast spare part demand and optimize inventory to minimize AOG times and maximize utilization rates
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From additive manufacturing to composite fabrication, aerospace manufacturers rely on the fundamentals of material science and engineering to achieve consistent product quality. However, manufacturing operations are often complex, making optimization challenging:
Heterogeneous material quality
Complex multi-step reaction dynamics
Noisy or sparse sensor information
Improve additive manufacturing with AI-enabled simulation and optimization
AM processes (powder bed fusion, laser metal deposition) can be complex and time consuming to achieve thermally stable process conditions and defect-free production.
With Basetwo, companies can use ML to simulate process parameters, reducing irregularities, discontinuities, & distortion, enabling:
Improved buy-to-fly ratios
Reduced lead times for qualification
Improved material properties
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Advanced composite fabrication — reduce manufacturing cycle times by over 20%
Optimizing composite fabrication processes is challenging due to the many variables affecting curing, such as resin kinetics, carbon thickness, tooling thickness, and autoclave properties.
Elevate your processes with Basetwo's AI copilot
Accurately predict material properties as a function of composition and heat treatment to meet design specifications
Simulate and optimize processes like AFP/ATL, autoclave curing, and forming
See how Basetwo can deliver:
of use cases now
