What is Proximai?

Proximai is developing creative systems for the Aerospace industry using artificial intelligence.

Proximai’s mission is to advance the aerospace industry through emerging AI technology. We see that demand is high in companies for AI experts, but recruiting them (along with the need for data and compute power) is costly to arrange for the occasional project.

By offering consulting services specialized on AI, we can offer a cost-efficient approach for your selective projects.

WHY PROXIMAI?

Vital Components of AI-as-a-Service (AIaaS)

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Subject Matter Experts

Available from our Global AI Network (GAIN), we choose experts that have industry-certifications from NVIDIA and university degrees in either Data Science or Software Engineering.

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Large structured data sets with accurate labels

Machine learning and AI are highly dependent on large, diverse datasets. If no dataset can be provided for an application, we will provide data collection, processing, and tagging to ensure a well-trained generalized model.

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Specialized hardware for computing power

Our training is powered by NVIDIA DGX servers equipped with the latest hardware specifically designed for deep learning. Likewise, we have chosen Microsoft Azure as a cloud provider for hosting and inference of our neural network models.

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Academic & Industry

Within the field of data science and AI, a lot of time is spent managing and preprocessing datasets. While this work is essential, it does not require the expertise of professional researchers and engineers. We believe student interns well accomplish these tasks.

To assist your team’s needs, we offer these remote resources under AI-as-a-Service (AIAAS). It is evident that the Aerospace Industry could benefit from integrating key AI components into existing software, or considering it when approaching unsolved problems.

Contact us today to see what AI-as-a-Service (AIAAS) can do for your organization.

The future of AI in Aerospace

Our Research & Development

Proximai's "Data Exchange"

A universal issue for companies that develop technology today is the process of obtaining data. This becomes an even greater issue when wanting to integrate machine learning (AI). We want to make it easier for companies to take the full advantage of AI today.

It’s no secret that with more data you are simply able to do more. In order to be successful with AI, it requires large datasets, which sometimes are unavailable due to cost and time restrictions.

  • A marketplace for high volume data
  • Secured through a blockchain ledger
  • Simplifies ability to integrate AI into aerospace applications

Proximai's "Launch Window Prediction"

When a rocket launch is delayed, it can negatively affect both the launch provider and payload client. Our proposed system works by training an AI model on a large variety of data:

  • Weather forecasts
  • Launch site
  • Vehicle conditions

By complimenting existing flight safety procedures, it would predict the best days to launch out of a predefined (user-set) window. Time, money, and client confidence are all saved as a result.

Proximai's "Propulsion Simulation"

To date, there are no complete turnkey systems that allow an engineer to simulate, visualize, and predict combustion flow in jet and rocket engines. We propose using machine learning rather than traditional models (like the Navier-Stokes equations) for fluid flow and chemical physics. We envision that years of testing an engine in the real world could be reduced to a few days in the simulation.

While there does exist traditional CFD software ran on CPUs with “Combustion add-on packages”, they have their limitations. Our solution will apply a Deep Neural Network trained to predict combustion effects. Once completed, the system will have the following benefits:

  • Faster processing time than current CFD methods
  • No additional computing power needed on-premises
  • Multi-physics (fluid dynamics, acoustics, chemical reactions)
  • Allow startups to more easily access engine manufacturing
OUR TEAM

Select Team Members

Mikey Limotta
Cal Poly SLO CTO & AI Aerospace Architect
Gabe Limotta
Cal Poly SLO Firm Administrator
Zach Wright
Cal Poly SLO Aerospace Specialist
Austin Iannitti
Cal Poly SLO Aerospace Specialist
Lance Plater
Stanford B.S. M.E. Advisor
Select Aerospace Advisors
Select Data Scientist Advisors
Select Interns
FAQS

Frequently Asked Questions

Below are discussions on the general company structure, the aerospace field, and job opportunities with Proximai.

When was Proximai founded?

Proximai is a new start-up business unit of a California General C Corporation that was formed in 1997.

Where is Proximai located?

Our main office is at 320 Alisal Rd #101, Solvang, CA 93463. We also have a workspace at Cal Poly CIE, San Luis Obispo.

Why focus on aerospace?

Proximai was founded with a passion for space exploration. One key subspace is propulsion, which has a large impact on cost, effective range, and availability of rocket launches.

Are these tools designed to automate and replace engineers?

We are designing our models and tools specifically to empower engineers. We hope with these new methods of analysis they will be able to solve problems in ways that haven't been considered before.

What positions are available?

We need data scientists, software engineers, but most importantly: people who understand how to bring together novel ideas. All members will become a part of our international community: GAIN.

How do I apply?

Please send us an email, or call and talk about what interests you.

CONTACT

Get In Touch

The best questions are those that haven’t been asked yet. Reach out to us and we’ll get back to you shortly.

Our Partners