Ongil.ai is a Natural language interface for analytics queries on enterprise data. The data could be stored in any of the Azure managed services including MySQL databases. The product provides out-of-the-box understanding of analytics questions and can easily be finetuned for more complex queries including predictions, factors analysis and what-if scenario planning.

Ongil.ai has four main product components: Data Intelligence Hub, Data Enhancer, Decision Driver, and Conversational Insights Assistant. The Data Intelligence Hub brings together data from multiple sources using AI, the Data Enhancer collects and processes external data to augment internal data, the Decision Driver identifies key factors that drive business outcomes and performs what-if analysis, and the Conversational Insights Assistant provides precise answers to business analytics questions using Natural Language Queries.

Ongil.ai's solutions can increase data utilization by 9 times leading to significantly better insights. It saves $15K per annum for a business user and reduces the average time to get answers to related questions from 2 days to less than 5 seconds. It also reduces effort for data preparation by 85%.

Ongil.ai helps in various sectors such as Consumer Goods, Finance, Entertainment, and more. It supports use cases wherever there is a large amount of numerical data to be analyzed. For example, in the Consumer Goods sector, it can help with market share computation, identifying competitors and their performance, capturing overall trends, predicting market trends, identifying key factors that drive category changes and consumer behavior, and scenario planning. In the Finance sector, it can help advisors suggest the quantitative differences between different products based on customer questions. In the Entertainment industry, it can help companies analyze hundreds of factors that decide audience interest towards a particular offering.