Our Software Engineering team’s core competency is Cloud Native Application development. We enable innovation and disruption in mission driven solutions using application modernization and refactoring. We favor open source development environments and tools to build scalable, highly available, and secure solutions with a keen focus on user experience and usability. Our application designs take advantage of the following techniques:
Our team is extremely proficient in a number of Cloud focused technologies including Ruby on Rails, Python and Node.js, Java, Nginx, Apache, Microsoft IIS, JBoss, Tomcat, Unicorn, Phusion Passenger, Mobile backend, AWS Lamda, AWS API Gateway, AWS DynamoDB, MongoDB, Couchbase, CouchDB, MySQL, MSSQL Server, Oracle, Aurora, Postgres, RedShift, Jenkins, Code Deploy, Code Pipeline, and Microsoft .Net.
Agility and innovation are the key differentiators in technology adoption. Our engagements begin with a clear understanding of management’s vision, goals, scope, TCO and expectations. We use an agile methodology that focuses on lean principles in order to reduce risk, cost and time to market. Enquizit’s agile delivery framework is customized for each initiative based on the customer’s state of agile adoption. We resolve traditional issues of sub-optimally managed projects and stagnant growth through continuous feedback and improvement loops. Our highly interactive process places emphasis on identifying and removing blockers early-on to ensure continuous improvement and delivery of robust & secure mission focused solutions.
Our AI team empowers businesses to unveil new capabilities through new generation applications that can see, hear, speak, understand, and interact intelligently. Latest technologies such as natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to- speech (TTS), and machine learning (ML) technologies open up a new tangent of innovation by providing features such as:
We fully understand and exploit the value of data visualization as an aid to decision making. We have the process and technical expertise to analyze disparate data sources and help pick the most valuable ones to answer specific business questions. This often is started by conducting a workshop with stakeholders at the business unit and enterprise level, the goal is to establish highest value questions which could be explored through visual data analytics to assist decision making.
It is natural for us to consider optimizing recurring and well-established processes through software robotics. Given our background in application development and machine learning, we have the expertise to help identify processes that would free up the most resources of automated as well as establishing those that enhance end user experience and responsiveness. Whenever possible we prefer to use APIs to speed up data flow between software components and modernize modules of strategic value.