airisDATA Analytical Company
airisDATA began its journey in 2014, headquarted in Princeton, NJ. The company focused on asisting enterprises process large data sets using distributed programming and massively parallel in-memory computation to unlock new business efficiencies and productivity.
Vision
Transform financial services companies to data driven organizations to help create new revenue streams, enable real time decision making, and sustained operational excellence.
Mission
Deliver high performance finance data solutions that leverage predictive analytics and cloud technologies to accelerate time to insights, reduce total cost of ownership, and faster time to market.
Finance Advanced Analytics Solutions
Finance Advanced Analytics Solutions use data to help businesses understand their finances better. They support smarter decision-making and improve financial strategies.
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Analytics Center of Excellence
Low Code Development
Low-code development makes building apps easier by using drag-and-drop tools instead of heavy coding. It helps create solutions quickly, saves time, and allows both tech and non-tech users to contribute.
Natural Language Processing
Natural Language Processing (NLP) helps computers understand and process human language. It powers applications like chatbots, translation tools, and voice assistants, making communication between people and technology seamless and efficient.
Packaged AI Solutions
Packaged AI solutions are pre-designed, ready-to-use tools that apply artificial intelligence to solve specific business challenges. They help companies quickly implement AI technologies like automation, data analysis, and machine learning without needing custom development.
Agile Delivery
Agile delivery is a project management approach that focuses on delivering work in small, manageable pieces, known as iterations or sprints. It encourages flexibility, collaboration, and frequent feedback to ensure that projects stay on track and meet customer needs efficiently.
Cloud Native Software Design
Cloud-native software design refers to building applications specifically to run in cloud environments. It uses cloud features like scalability, flexibility, and resilience, often utilizing microservices, containers, and APIs to ensure applications are efficient, easily managed, and can scale as needed.
