Abhranshu string (from title field)
Founder
Autonmis
Autonmis is an AI-driven data platform that enables startups and enterprises to unify, transform, and analyze data through low-code workflows, facilitating rapid insights and automated reporting. By automating 75% of repetitive data tasks and providing real-time KPI monitoring, it significantly reduces operational costs and accelerates decision-making processes.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 7 months ago
Funding
Funding rounds are not available yet.
Founders
Mukund string (from title field)
Founder
Varun string (from title field)
Founder
Abhishek string (from title field)
Founder
Aryan string (from title field)
Founder
Product
Problem
Startups and enterprises often struggle with fragmented data silos, complex data transformations, and the need for specialized expertise to derive actionable insights. Traditional business intelligence (BI) tools can be costly, require extensive setup, and fail to provide self-service capabilities for various team roles.
Solution
Autonmis is an AI-powered data platform designed to unify, transform, and analyze data through low-code workflows, enabling rapid insights and automated reporting. The platform offers a visual ETL/ELT builder with pre-built connectors, AI-powered SQL notebooks, and drag-and-drop visualizations. It streamlines data management, reduces operational costs, and accelerates decision-making by automating repetitive data tasks and providing real-time KPI monitoring.
Target Audience
Autonmis is designed for data engineers, data analysts, product teams, and leadership within startups and enterprises across various industries, including fintech, e-commerce, online gaming, retail, supply chain, and healthcare.
Features
- Visual ETL/ELT builder with 15+ pre-built connectors for seamless data integration
- AI-powered SQL notebooks with version control for efficient data analysis
- Drag-and-drop visualizations with 20+ chart types for interactive dashboards
- Automated anomaly detection and real-time KPI monitoring with drill-down capabilities
- Python notebooks for advanced product analytics and custom dashboards
- Natural language search for metrics, enabling quick access to key information
- Automated data quality checks to ensure data accuracy and reliability
- Flexible deployment options: cloud, hybrid, or on-premise