Draiven offers a data analytics platform that uses natural language processing and large language models to enable business users to query and analyze data from ERPs and other sources through a conversational interface. This allows for rapid access to AI-driven insights without requiring SQL expertise, empowering better decision-making.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
A significant portion of data residing in enterprise resource planning (ERP) systems and other business applications remains unutilized for decision-making. This underutilization prevents organizations from deriving actionable insights and achieving a competitive advantage.
Solution
Draiven provides a data analytics platform that integrates with various business data sources, including ERPs, databases, and APIs. The platform leverages natural language processing (NLP) and large language models (LLMs) to enable users to query and analyze data through a conversational interface, eliminating the need for SQL expertise. This facilitates rapid access to AI-driven insights, empowering users to make informed decisions and enhance operational efficiency. The platform also offers integration with messaging applications like WhatsApp for convenient data interaction.
Target Audience
The primary target audience includes business users, analysts, and decision-makers across organizations who need to extract insights from their data without requiring specialized technical skills in database querying or data science.
Features
- Data integration capabilities for ERPs, SQL databases, APIs, Sheets, and Documents.
- Natural language query interface for data analysis, supporting conversational interaction.
- AI-driven insight generation and question suggestion engine.
- WhatsApp integration for real-time data querying and interaction.
- SQL-free data access, abstracting complex query languages.
- Scalable architecture to handle datasets of varying sizes.
- Organization management for controlling members, datasets, and access permissions.
- Support for multiple LLM models, with user choice available.