Nexit works on computer science problems using current trend technologies that include but not limited to Artificial Intelligence, Natural Language Processing, BlockChain, IoT, Big Data Analytics, Cloud Computing, Cryptography and Security etc. Using these emerging technologies Nexit drives future capabilities and create an impact on customers products. We explore new mathematical models and scalable software architectures. We apply our research to arbitrary domains. It can have a real-world impact on health, education, agriculture, transport etc.
We apply Artificial Intelligence to detect fraudulent activities. We take large samples of data that includes fraudulent and non-fraudulent records and train to classify them. AI chatbots are capable of understanding natural language, i.e. human conversation, they can readily assist customers in finding out what they need to know, extracting information from the website, and directing them to the appropriate web page or person for further support.
Using conventional data processing applications it is very complex to process business data acquired by large corporations. Nexit provides better ways to extract useful information by using big data analytics tools and methodologies which can support proper decision making and help uncover patterns. These techniques are applicable to small and medium businesses to obtain the best possible outcomes for their firms. Nexit uses Big data technologies such as Hadoop, in-memory analytics and cloud-based analytics that brings significant cost advantages when it comes to storing large amounts of data, can analyze information immediately and gives more efficient ways of doing business. We develop analytical algorithms that can manage the data efficiently.
Now-a-days many businesses and individuals are going online and security has become a major concern. Due to high-profile data breaches and ransomware attacks organizations and individuals need to safeguard their data and networks. Nexit provides business networks and Virtual Private Networks much safety and security as possible using cipher algorithms. Nexit adopts encryption as a part of your security policy. Graph analytics uncovers the essence of real-world networks through their connections. Nexit uses graph algorithms to model processes and makes valuable predictions about how things such as information or failures spread; the flow and capacity to transport resources; and influences on group dynamics and resiliency. Nexit uses advanced graph mining tools such as neo4j, Gephi in order to find patterns and structures in your connected data.
Our researches publish regularly in top journals and international conferences, release projects as open source and apply research to Nexit products and advance the state of the art through collaborations between top educational institutions.
Through our research expertise:
Bringing just the right skills you need to build modern digital products. Understanding your brand, identifying your pain points, empathizing with your audience, and strategizing delightful user experiences are some of the things we do as your UX Partners. Our extensive research helps us understand exactly
what your audiences are looking for, and our process accountability helps us offer UX Solutions as a core service in the studio.
UX research—or as it’s sometimes called, design research—serves many purposes throughout the design process. It helps us identify and prove or disprove our assumptions, find commonalities across our target audience members, and recognize their needs, goals, and mental models. Overall, research informs our work, improves our understanding, and make our work better.The main goal of design research is to inform the design process from the perspective of the end user.
UX research has two parts: gathering data and synthesizing that data in order to improve usability. At the start of the project, design research is focused on learning about project requirements from stakeholders, and learning about the needs and goals of the end users. Researchers will conduct interviews, collect surveys, observe prospects or current users, and review existing literature, data, or analytics.
All user researchers collect valuable information that helps us design in an informed, contextual, user-centered manner.
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers. Deep learning is getting lots of attention lately and for good reason.
It’s achieving results that were not possible before.
In deep learning, a computer model learns to perform classification tasks directly from images, text, or sound. Models are trained by using a large set of labeled data and neural network architectures that contain many layers.
Deep learning achieves recognition accuracy at higher levels than ever before. This helps consumer electronics meet user expectations, and it is crucial for safety-critical applications like driverless cars. Recent advances in deep learning have improved to the point where deep learning outperforms humans in some tasks like classifying objects in images.
Most deep learning methods use neural network architectures which is why deep learning models are often referred to as deep neural networks.
Pretrained deep neural network models used to quickly apply deep learning to your problems by performing transfer learning or feature extraction.
Majority of contemporary web developers possess their own list of frameworks as well as libraries actually allow the completion of their work speedily, efficiently and conveniently. These tools are used by them to work with. However,
every programmer needs to be conscious of newest web development technologies, newest web application frameworks and implement them.
As the web grows and the adaptability of online space grows rapidly, the approach of creating feature-rich app gets significantly more complex. In present time, it is not so simple to contend customers with a fundamental online presence as everybody wishes to see you stay updated in accordance with the recent technological trends. Though, the burden of the web development could be decreased significantly provided your web application developers are knowledgeable with the recent web development frameworks.
Because there are a vast number of web development frameworks obtainable presently, it could be an intimidating task for an individual to select the correct one for his/her upcoming web development project.
It is very essential to select a proper web application development framework that assists you to create a feature-rich app. Depending on your convenience in a particular programming language, Nexit guides their clients by creating entire web application development framework as per their preference.
We are ready to work from a rough research concept up to bring your ideas to life. Contact us today for a free consultation.