Artificial Intelligence Powered Digital Twins
Software that Enables our Partners to:
Make Data-Driven Decisions
Optimize Operations
Innovate Effectively
Applications
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Design Optimization
Interrogating a system with different input scenarios to optimize the design
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Health Monitoring & Forecasting
Accurate and realtime prediction of the state of a system in time and space
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Control & Autonomy
Actively actuating a system to achieve increased efficiency
Our Technology: DeepONet
An AI powered digital twin trained on multi-modal, multi-fidelity datasets & partially known physics
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DeepONet can learn mathematically operators directly from data which allows it to accurately predict out comes for a wide range of problems including ODEs, PDEs, integral equations, dynamic systems, biological systems and social systems.
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DeepONet uses a relatively small number of trainable parameters compared to other deep learning architectures, which makes it computationally efficient to train
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Unlike many other machine learning approaches, DeepONet provides interpretable results. This means that it is possible to understand why the model made a particular prediction or decision. This can be important in many application where it is necessary to have transparency and accountability.
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DeepONet has the ability to make accurate predictions even when the data sets are noisy or incomplete
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DeepONet is scalable to larger datasets and can be used to solve a wide range of problems making it a versatile tool for many applications
About Us
Anailytica is a deep tech, university spin-off that sits at the intersection of artificial intelligence and engineering applications. We build advanced AI driven software solutions for our clients.
We are a global team of engineers, mathematicians and visionaries headquartered in Los Angeles CA.
