Siftly provides an AI-driven analytics platform that allows users to query their data in plain English, generating insights without the need for coding. The solution enables businesses to access real-time analytics and custom dashboards while ensuring data privacy by executing queries directly on their servers.
Funding
$500K 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 business teams lack direct access to data insights due to the complexity of querying databases and the need for specialized coding skills. This dependence on data teams creates bottlenecks and delays, hindering timely decision-making. Traditional analytics tools often require extensive training and technical expertise, limiting their accessibility to non-technical users.
Solution
Siftly provides an AI-powered analytics platform that enables users to query their data using natural language, eliminating the need for complex coding. The platform leverages AI to automatically generate SQL queries, Python scripts, and data visualizations to answer user questions. By connecting directly to data sources, Siftly allows business teams to gain real-time insights and create custom dashboards without relying on data analysts. The platform prioritizes data privacy by executing queries directly on the user's servers, ensuring that sensitive information remains secure.
Target Audience
Siftly targets sales, marketing, product, and operations teams within businesses that need quick and easy access to data insights without coding.
Features
- Natural language querying for data analysis, allowing users to ask questions in plain English
- AI-powered generation of SQL, Python, and data visualizations to provide comprehensive insights
- Custom dashboard creation for tracking key business metrics in real-time
- Automated AI reports delivered via email with automatically derived insights
- Secure data processing with queries executed directly on the user's servers
- Role-based access control for managing team member access to specific datasets
- Compatibility with various data sources, including databases, Google Sheets, and CSV files