Seek AI offers a generative AI platform that automates database queries to efficiently generate and maintain code for answering complex data questions. This technology enables businesses to quickly access insights from large datasets, reducing the time and effort required for manual data analysis.
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
Many businesses struggle to efficiently extract insights from complex datasets due to the time and effort required for manual data analysis and the need for specialized coding skills to formulate database queries. This often leads to delays in accessing critical information and limits the ability of non-technical users to explore data independently.
Solution
Seek AI offers a generative AI platform that automates the process of querying databases, enabling users to obtain answers to complex data questions without writing code. The platform leverages AI agents to handle manual data work, breaking down information barriers within the business. By modernizing business analytics with generative AI-powered database queries, Seek AI empowers users to quickly access and analyze data, regardless of their technical expertise. The platform simplifies data exploration, allowing businesses to gain deeper insights and make data-driven decisions more efficiently.
Target Audience
Seek AI primarily targets data-driven businesses across various industries, including CPG, finance, healthcare, retail, and Shopify, seeking to modernize their business analytics and empower non-technical users to access data insights.
Features
- Generative AI-powered database querying that eliminates the need for manual coding
- AI agents that automate data-related tasks
- Integration with existing data products and platforms
- Natural language processing (NLP) technology for intuitive data interaction
- Ability to query complex datasets in a fraction of the time compared to traditional data tools