The startup is developing a database that enables querying of both structured and unstructured data within tables, facilitating seamless integration of diverse data types. This technology allows organizations to extract actionable insights from a single, unified data source, enhancing decision-making efficiency.
Funding
$3M 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
Organizations struggle to efficiently query and analyze both structured and unstructured data residing within tables, hindering their ability to extract comprehensive insights from diverse data sources. Integrating different data types for unified analysis remains a complex and time-consuming challenge.
Solution
ThanoSQL provides an analytical relational database management system (RDBMS) that seamlessly integrates large language models (LLMs), deep learning (DL), and machine learning (ML) capabilities. This platform enables users to deploy AI models directly within their applications using SQL, facilitating the analysis of both structured and unstructured data. By unifying data access and analysis, ThanoSQL empowers organizations to derive actionable insights and improve decision-making processes.
Target Audience
ThanoSQL targets organizations seeking to leverage AI for data analysis and application development, particularly those dealing with diverse data types and requiring efficient querying capabilities.
Features
- Analytical RDBMS designed for AI model deployment
- Integration of LLMs, DL, and ML capabilities within SQL queries
- Unified querying of structured and unstructured data
- Platform for building and deploying AI-powered applications