Artificial Intelligence

  SRASYSInc Research pursues an open and integrated “AI-first” approach to enterprise operations. Our cross-disciplinary research teams rethink enterprise architecture and transform business processes by combining AI algorithms, distributed systems, human-computer interaction, and software engineering. We apply AI methodologies to accelerate the development of AI solutions from data acquisition, through model generation, to application delivery and continuous update. These include automated machine learning, continuous learning, flexible and dynamic composition, semi-automated model generation, visual analytics, human-AI interaction, and novel quality metrics. The successful adoption of AI relies on the trust of end-users, which means AI systems must be safe and adhere to ethical norms. We focus on delivering tools and techniques to identify and mitigate risks and violations, to help understand trust-related implications for and challenges of AI models, and to assist developers and data scientists in easily building trusted, safe, and explainable AI systems. Advances in deep learning as a service, novel programming languages and programming models for AI, and elastic resilient deep learning at scale are examples of AI-optimized programming models and runtimes. 

  At SRASYSInc, we research various business challenges and provide solutions in the Cloud computing area.   Cloud computing is used about a class of distributed data-processing platforms that do not rely on shared memory nor shared storage -- they can exploit clusters of cheap PCs organized in a "shared-nothing" configuration. MapReduce, a programming model implemented in an open-source project called Hadoop, has become a popular choice for data-intensive scalable computing platforms and is frequently associated with the term cloud computing. A MapReduce program allows a scalable, distributed program to be expressed in terms of two relatively simple serial functions: a Map function that divides and distributes a problem, and a Reduce function that processes the output. Using just these two functions, it has been shown that a variety of scalable, parallel algorithms can be expressed. Further, MapReduce programs are fault-tolerant; if a computer fails during processing, only the failed task needs to be restarted, rather than the entire job. The success of MapReduce has spawned an entire ecosystem of related systems and tools, all of which have a relationship to the "big data" side of cloud computing.

 We research the area of algorithms and systems for processing massive amounts of data. Our work aims at pushing the boundary of computer science in the area of algorithms and systems for large-scale computations. Our mission is to achieve major technological breakthroughs to facilitate new systems and services relying on the efficient processing of big data. SRASYSInc big data services are valuable for banking, wealth management, accounting, and other services. It allows you to extract insights from your data that will enhance performance and reduce risk. With SRASYSInc, you can connect to the cloud services you already use, or upload files directly from your desktop and start visualizing your financial data in minutes.  Automatic updates of your data allow you to always stay up-to-date on your financials, and access them on the go. Get started today! 

   Speech, Language, and Audio From soothing a crying baby to rallying millions to a cause, the human voice is a powerful tool. Speech and language allow us to interact naturally with a variety of computing applications, as well as providing a wealth of information about our relationships, intentions, health, and emotional state. For government and commercial clients, SRASYSInc Speech Technology and Research creates software for signal processing, phonetics, mathematical modeling, acoustics, data indexing and mining, language translation, and computer-aided learning. SRASYSInc also develops speech and audio technology for use in challenging audio environments, where it can be extremely difficult to understand the speech, identify the speaker or language, or even just detect whether speech is present. SRASYSInc has honed speaker identification and verification techniques for biometric applications. 

  At SRASYSInc, we pride ourselves on our ability to develop and launch new products and features at a very fast pace. This is made possible in part by our world-class engineers but our approach to software development enables us to balance speed and quality and is integral to our success.  Our obsession with speed and scale is evident in our developer infrastructure and tools. Developers across the world continually write, build, test, and release code in multiple programming languages like Java, Python, Angular JS, .Net, and implemented using various frameworks which include  Java Spring, Struts 2.0, Groovy & Grails, and Ruby on Rails.  We deploy our applications in the cloud with different vendors which include Amazon AWS, Microsoft Azure, and Google Cloud as needed by the particular enterprise and mobile applications. The Engineering Tools team is challenged to keep this development ecosystem running smoothly. Our engineers leverage these tools and infrastructure to produce a clean code and keep software development running at an ever-increasing pace. 

  Mobile applications to auction and procure items from producers directly without any layers in between producers and large scale exporters and consumers.