LOWER COSTS
INCREASE INNOVATION
Introducing Proximai’s “AI as a Service” subscriptions at Aerospace.ai
We are here to help your organization lower costs in solving ongoing R&D challenges using AI.
Our inexpensive subscription model creates a strategic resource for you by leveraging a remote, U.S. based on-demand team of subject matter experts in Aerospace & AI for one low monthly fee. We protect and anonymize your data across our exclusive NVIDIA, Microsoft Azure, Google, and Amazon infrastructures.
If your department’s priority is to be under budget, win the bid, and increase AI innovation in solving the next moonshot challenge, please register for a free AI gap assessment.
– Team Proximai
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 in AI, we can offer a cost-efficient approach for your selective projects.
WHY PROXIMAI?
Competitive Features and Benefits
of our AI-as-a-Service (AIaaS)
Subject Matter Experts
A feature of our Global AI Network (GAIN) process includes individuals that retain the necessary credentials or experience in either machine learning or deep learning systems. For example, the SME may have an industry-certification from NVIDIA or Microsoft. Alternatively, they may retain or are a candidate with necessary academic credentials in either data science or software engineering. As a result, your project benefits by having a check-and-balance as to the application of “best-practices.”
Large Structured Data Sets
Machine learning, deep learning, and AI are highly dependent on large, diverse, and structured datasets. If no dataset can be provided for an application, strategies exist to assist in data collection, processing, and tagging to ensure a well-trained generalized model in certain circumstances. The success of the models is a function of scrubbed, relevant data. As a result, your organization can benefit by lowering overall risk or facilitating access to data in usable, secure containers at Microsoft Azure.
Specialized Hardware for Computing Power
One feature of our service is investing in best-of-class solutions; for example, NVIDIA DGX servers equipped with the latest hardware designed for deep-learning powers model training. Likewise, we are a certified partner with Microsoft Azure to provide an enterprise-ready cloud solution for hosting and inference of our neural network models. As a result, this benefits an organization by reducing processing time or reducing risk with a standards-based approach to ensure continuity.
Academia & Aerospace Industry
We support Public and Private partnerships at all levels ranging from the Aerospace and Computer Science student intern to the Ph.D. fellow to the retired Aerospace engineer. For example, from within the field of data science and AI, a lot of time is spent managing and preprocessing data sets. We believe selected, managed student interns can cost-effectively accomplish these tasks as needed for your project. In contrast, the wisdom of the retired aerospace engineer can often provide realistic input not found elsewhere. As a result, these combined resources increase your competitive, differentiated advantage.
To assist your team’s needs, we offer these remote resources under AI-as-a-Service (AIAAS). We are here to help navigate and accelerate your ideas by providing our compute, expertise, and supplementary data to realize your project’s success. Adopting AI and Machine Learning into your projects and design workflows can provide great insights and solutions to many moonshot problems.
