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SVADIS

Vision & Evolution

 

 

Decades ago the challenge in investing was the difficulty in obtaining data. The ones who had the most data and were able to analyze it most effectively were the most successful.

 

Today the challenge in investing is the availability of too much data and the difficulty in sifting out meaningful signals from the ever-growing data noise.

 

In the past the most effective decision makers relied on the ability of their brains to analyze as much relevant data as possible, recognize patterns and arrive at the best possible decisions.

 

As the world became more interconnected, the data that needed to be analyzed to obtain those insights exploded, and the very same effective decision makers started to get overwhelmed.

 

The convergence of two important trends – the availability of massive data sets, including historic data spanning several decades, and the emergence of extremely powerful computing capabilities at reasonable costs through the cloud revolution – enabled us to leverage advances in artificial intelligence / machine learning to simulate an army of assistants who worked day and night to make the task of the decision maker much easier.

As we look into the future, our vision is to continue to build out our SVADI system further leveraging multiple disciplines of AI such as neuro evolution to enable organizations and individuals worldwide to assimilate more data, perform better analysis, make smarter decisions and take rapid actions.

vision
Technology

Technology

We have built a leading edge cloud based AI driven analytics platform (SVADIS) to help make better decisions faster.

 

We leverage proprietary models, deep learning algorithms and evolutionary systems to analyze enormous stockpiles of data, detecting unseen patterns many of which are impossible to be inferred logically, rapidly learn from it and evolve solutions where none existed before.

Our deep learning technologies combine independent deep analysis of data for patterns not logically inferable by experts with learning from expert humans with domain expertise to create extremely deep insights.

Using massively scaled computing, distributed evolutionary computation models, our proprietary solution mimics biological evolution.

Our high impact visualization platform and tools enable customers to visualize the insights in multiple extremely rich visuals to be able to perform further analysis and arrive at actionable conclusions.

Evolutionary Systems

Evolutionary Systems

 

The highly intelligent SVADIS platform has been created by leveraging the significant advancements in artificial intelligence, specifically evolutionary intelligence and neuroevolution, and the availability of massively scalable computation infrastructure at a reasonable cost through developments in cloud computing.

Two of the key objectives of SVADIS are to to find creative models / solutions from vast numbers of potential variable combinations and through a rigorous evolutionary process finding the best models for making the best predictions. 

Inspired by biological evolution, SVADIS can evolve any data to solve specific problems. SVADIS has applied a lot of previously academic work to create powerful practical solutions.

 

The SVADI system starts with a diverse of initial models (species or genes) which are then put through several generations of competitive survival among peers testing to distill the best models (with highest survival scores) to solve the specific problem. 

Leveraging advances in cloud computing technologies and AI algorithms, these evolutionary selection programs run through trillions of generations (advanced evolution) to obtain very startling insights and powerful predictions.

While SVADIS uses AI to evolve and find its own solutions, adapting, evolving, mutating, and breeding better and better ideas, neuro evolution is the next step and involves the application of evolutionary AI techniques to the neural networks themselves. SVADIS is working on combining multiple AI disciplines to train (restructure, evolve, and breed) the AI neural networks to creating even more evolved AI architectures for optimal results and fitness.and media.

Deep Learning

Deep Learning

 

 

Deep learning is a key part of our work. We’re especially interested in end-to-end training, modular models, and multiple layers of abstraction. Some of our recent research focuses on massive, unlabeled datasets. 

 

Inspired by the way the brain works, SVADIS's intelligence technology analyzes the data in order to deeply understand correlations and causalities. It then curates content and recommends actions based on that understanding.

About

Decades ago the challenge in investing was the difficulty in obtaining data and the ones who had the most data and were able to analyze it most effectively were the most successful.
 
Today the challenge in investing is the availability of too much data and the difficulty in sifting out meaningful signals from the ever-growing data noise. In the past the most effective decision makers relied on the ability of their brains to analyze as much relevant data as possible, recognize patterns and arrive at the best possible decisions.
 
As the world became more interconnected, the data that needed to be analyzed to obtain those insights exploded, and the very same effective decision makers started to get overwhelmed. The convergence of two important trends – the availability of massive data sets, including historic data spanning several decades, and the emergence of extremely powerful computing capabilities at reasonable costs through the cloud revolution – enabled us to leverage advances in artificial intelligence / machine learning to simulate an army of assistants who worked day and night to make the task of the decision maker much easier.
 
While we continue to use our massively distributed AI based on Evolutionary Intelligence for financial investments, we have been increasingly focusing on building out our unique capabilities in deep learning. As we look into the future, our vision is to continue to build out our SVADI system further leveraging multiple disciplines of AI such as neuro evolution to assimilate more data, perform better analysis, make smarter decisions and take rapid actions.

For more information contact INFO@svadis.com

We are always looking for great technical talent.
For Career Opportunities or HR Inquiries contact HR@svadis.com
About

Contact

SVADIS

OUR ADDRESS

555 Bryant Street

Suite 927

Palo Alto, California 94301

Phone: (650) 434 2904

info@svadis.com

For Career Opportunities or HR Inquiries email HR@svadis.com

For general inquiries, email info@svadis.com or fill in the following form:

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