Unsupervised is an automated analytics platform that employs AI-powered data agents to analyze complex datasets and generate actionable insights, answers, and predictions. By continuously learning from connected data sources, it significantly reduces the time spent on manual data preparation, enabling organizations to uncover hidden value and improve decision-making efficiency.
Funding
$59.1M 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
Data analysts often spend excessive time on manual data preparation, hindering their ability to extract timely insights and make data-driven decisions. Traditional analytics platforms require significant manual effort to connect data sources, cleanse data, and build analytical models.
Solution
Unsupervised provides an automated analytics platform powered by AI Agents that continuously learn from connected data sources to deliver insights, answers, and predictions. The platform automates data preparation tasks, such as querying and feature expansion, enabling organizations to uncover hidden value and improve decision-making efficiency. AI Agents specialize in different data tasks and collaborate to solve complex data challenges, allowing users to ask questions about their data and receive analyst-level responses within minutes. The platform also identifies actionable insights and facilitates the creation of specialized agents tailored to specific KPIs.
Target Audience
The primary target audience includes data analysts, data scientists, and business intelligence professionals in industries such as health insurance, telecommunications, financial services, technology, retail, marketing, and e-commerce.
Features
- AI Agents that specialize in various data tasks, including querying, feature expansion, and KPI monitoring
- Automated data platform that connects to existing data sources and continuously learns data structures
- Ability to create custom AI Agents tailored to specific KPIs
- Automated collaboration among AI Agents to solve complex data requests
- Natural language interface for asking questions and receiving analyst-level responses
- Identification of actionable insights with recommendations for implementation
- Beta Predictions API for making predictions at scale