SciSwift LLC takes a scientific approach to solving problems. We focus on product development, product design, and prototyping -- using advanced technology to integrate ideas and concepts into real world products, inventions, and innovative devices.
Our company intends to solve the complex problems of big data, project managment, defense industry related problems, and similar endeavors, through the use of smart machines, machine learning, advanced computer aided design algorithms, artificial intelligence, virtual reality, and augmented reality.
Below you can find all of our favorite frameworks and systems, but we are not limited to using these.
Your favorite deep learning technology, now from zero to scale, cloud to mobile.
The platform provides a comprehensive solution to data ingestion, model development, training, deployment and management.
Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
An accessible, yet powerful, providing powerful tools needed for large, robust applications.
Tensors and dynamic neural networks in Python with strong GPU acceleration.
An open source machine learning framework for everyone.
A Scientific Computing Framework For LUAJIT.
A free open source operating system (OS) based on UNIX
A hypervisor using a microkernel design, providing services that allow multiple computer OSs to execute on the same computer hardware concurrently.
A platform offers reliable, scalable, and inexpensive cloud computing services.
Visual computing technology - inventor of the GPU.
Allow us to introduce you to our client industries:
Let me introduce you to our team members.
Software Architect/Chief Engineer
Software and AI Programmer, Project Manager
Full Stack/AI Developer, Statistical Analyst
Below you can find most asked questions.
The problems that Artificial Intelligence and Machine Learning can solve are virtually infinite. AI has been successfully able to reduce energy consumption in electrical motors, heating and cooling systems, evaluate customer trends and predict what they want before they tell you, categorize images, look for hidden and latent details in images, sound, and data streams, process in near real-time extremely large quantities of data, stabilize aircraft, reduce vibration, and improve nearly any quantitative process.
We pride ourselves on being an agile company, who will take on a project as small as from a graduating student, or professor, to as large as a Fortune 500 company, or military focused project. Contact us today with your project concept, and how you think AI and ML can help you, let us help you show how our engagement is a win-win for both of our entities.
Machine learning is highly sought after today, and computer scientists, programmers, and engineers with knowledge of how to successfully implement it, are hard to come by. We quote each project individually, and can perform tests on how successful we predict each outcome will be. Project costs are usually much lower than our clients anticipate, and the improvements in their business models by reducing expenses, increasing revenues, or doing the “impossible” with a new project, far outweigh any initial development costs historically.
We have in-house tensor processing units at our disposal, as well as have designed, built, and use our own equipment on a regular basis. For larger projects, requiring training of very large models or testing new models rapidly that exceed our capabilities, we have a list of outside firms we can buy reasonable computer time from, however the cost is generally slightly higher than performing the calculations in-house.
The good news is, you and your company do not have to tell us what you need – we will assist you with trying out multiple methods and algorithms until we find the best fit for your project. All of these wonderful acronyms are types of machine learning and artificial intelligence techniques and models. Most of these pertain to specific arrangements of the mathematical models, and their relationships in how they are connected. We will have our engineers, computer scientists, and programmers discuss, try out, and select the type of machine learning methods and models that yield the best results, and function for your project; each algorithm has its own special capability, and there is no single “best” method to accomplish every task.
Contact us using the below form.