Data Science, Machine Learning, & Artificial Intelligence

Data Science, Machine Learning, & Artificial Intelligence

Our Approach

At Aeris, our team of advanced machine learning (ML) and artificial intelligence (AI) experts are masters of unlocking the potential of data through cutting-edge modeling and analysis techniques. Our team is passionate about delving into complex datasets to uncover hidden patterns and insights using data mining. We approach each client collaboration as a unique opportunity to craft tailored solution that go beyond the ordinary. We thrive on designing custom modeling and simulation methodologies to unveil the most intricate data complexities. Our team of experts and data scientists excel at generating customized insights tailored to meet the unique requirements of each client, guaranteeing that our data-driven solutions are exceptionally impactful. Whether it’s unraveling the complexities of environmental phenomena, modeling the spread of infectious diseases, or optimizing the response to the deployment of weapons of mass destruction, we are dedicated to providing impactful solutions using advanced machine learning and artificial intelligence that empower our clients to make informed decisions.

Our data scientists have a deep understanding of sourcing, adapting, and creating customized machine-learning models for various applications. What distinguishes our data science capabilities from our competitors is our ability to integrate expertise in physical science, biological science, and software development to create a comprehensive full-stack solution that spans dataset generation to operational deployment. Our expertise includes:
Deep learning techniques such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)

  • Large Language Models (LLMs) and Transformers
  • Reinforcement learning algorithms for autonomous decision-making systems
  • Generative Adversarial Networks (GANs) for synthetic data generation
  • Transfer learning methods for leveraging pre-trained models
  • Bayesian networks and probabilistic graphical models for uncertainty handling
  • Support Vector Machines (SVM) and Random Forests for classification and regression tasks

Artificial Intelligence and Machine Learning

Predictive and Prescriptive Analytics

Regression and Classification Modeling

Synthetic Data

Digital Twins

Big Data

Atmospheric Science and Software Solutions

  • 720-370-9012
  • Email Us
  • 1849 Cherry Street, Suite 6, Louisville, CO 80027
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