Ludis offers a business intelligence platform that automates data ingestion and provides ready-to-use command centers for non-technical users, enabling them to perform segmentation analysis and generate actionable insights. The platform addresses the challenge of limited engineering resources by streamlining the data science workflow, allowing organizations to efficiently manage and visualize their data without extensive technical expertise.
Funding
$5.2M 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 organizations struggle to derive actionable insights from their data due to limited engineering resources and the complexity of the data science workflow. Non-technical users often lack the tools to perform segmentation analysis and data visualization effectively, hindering data-driven decision-making.
Solution
Ludis offers a business intelligence platform designed to streamline the entire data science and analytics workflow, enabling users to easily transform data into shareable dashboards. The platform automates data ingestion and preparation, allowing small data science teams to achieve more with less overhead. With Ludis, users can connect to various data sources, build and deploy data science applications using an inline code editor, and share interactive dashboards to generate insights across the team. The platform provides an end-to-end environment for integrating data, deploying algorithms, and consuming insights, regardless of the user's coding proficiency.
Target Audience
The primary target audience includes data scientists, business intelligence analysts, marketers, and managers seeking to simplify their data science workflow and generate actionable insights without extensive technical expertise.
Features
- Automated data preparation workflows for efficient data ingestion
- Inline code editor for building, publishing, and deploying data science applications
- Interactive dashboards for data visualization and insight sharing
- Connect & Store: Upload, access, and manage data from various sources in a single, secure location
- Projects: Develop proprietary algorithms, build applications, publish reports, and deploy data science models
- Workflows: Save time ingesting your data with automated data preparation workflows and pre-cleaned datasets
- Insights: Review findings and share feedback with your data science team via published reports and applications
- AI integration to turn AI-generated code into powerful tools and automate ETL pipelines