Doowii is a predictive, generative-AI data platform that centralizes K-12 educational data, enabling educators to access and analyze metrics such as attendance and grades through natural language queries. This streamlined approach eliminates the complexity of data management, providing actionable insights that enhance decision-making in educational settings.
Funding
Funding not disclosed

WLFounders
Product
Problem
K-12 educational institutions grapple with fragmented data silos, making it difficult for educators to access and analyze student metrics like attendance and grades. Traditional data analysis methods require specialized skills and complex queries, hindering timely insights and informed decision-making.
Solution
Doowii is an AI-powered data platform that centralizes K-12 educational data, enabling educators to access and analyze key metrics through natural language queries. The platform unifies disparate data streams into a single, queryable backend, eliminating the need for complex data wrangling. Educators can ask questions in natural language and receive visual answers, facilitating data-driven insights without requiring technical expertise. Doowii also offers predictive analytics, providing insights into educational trends and enabling proactive decision-making.
Target Audience
Doowii primarily targets K-12 educators, administrators, and school districts seeking to streamline data analysis and gain actionable insights to improve student outcomes.
Features
- Centralized data hub unifying attendance, grades, and other educational metrics
- Natural language query interface for intuitive data access and analysis
- AI-driven analytics for identifying trends and predicting future outcomes
- Visual data narratives with shareable insights and customizable pinboards
- Seamless data integration across various educational platforms
- Role-based access control and data encryption to ensure data privacy and security, adhering to GDPR, CCPA, and COPPA standards
- Intelligent prompts that suggest further data exploration