ibLaunch

Use Cases

SAMPLE USE CASES

Predictive Data Analytics Solution

At ibLaunch Company, we specialize in predictive data analysis using advanced machine learning algorithms to uncover hidden patterns, trends, and insights from complex data sets. Our team of data analysis experts can help you identify trends, patterns, and insights within your data that may be difficult or impossible to discern with the naked eye.
We employ machine learning algorithms and statistical models to build predictive models that can identify patterns and relationships in the data, predict future trends, and provide recommendations for businesses to improve their performance. By analyzing historical data, identifying key performance indicators (KPIs), and forecasting future trends, we provide valuable insights and recommendations that can drive your business forward.

Our predictive data analysis services can be used in various industries, such as finance, healthcare, retail, and marketing. We provide customized solutions that are tailored to meet the specific needs of each client, including predictive modeling, data visualization, and data-driven decision-making tools.
By utilizing predictive data analysis, we help businesses optimize their operations, reduce costs, and increase revenue.
Our approach enables organizations to make informed decisions that are based on data-driven insights, resulting in improved efficiency and a competitive advantage in their respective markets.

Big Data Solution

The ibLaunch team built the backend next-generation system for USPTO that is being used for fee processing that collects more than a billion dollars of revenue each year.
The system is still in place and has never been down in the last 7+ years and always serves the customers. Before the system was in place, there was no central repository of financial documents nor were they searchable.

The ibLaunch team built the backend next-generation system for USPTO that is being used for fee processing that collects more than a billion dollars of revenue each year.