SMAQ is an AI-driven platform that automates digital marketing reporting and delivers personalized, real-time insights. It replaces manual data compilation with instant, actionable intelligence to optimize campaign performance. The platform centralizes metrics from various marketing tools into unified, customizable views for enhanced data analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Many business users lack the technical skills to directly query databases using languages like SQL, creating a bottleneck in data access and analysis. This reliance on technical experts for data extraction and report generation slows down decision-making and limits the ability of non-technical users to explore data independently.
Solution
SMAQ provides a platform that enables users to interact with databases using natural language, eliminating the need for SQL or other complex query languages. By translating natural language questions into database queries, SMAQ empowers non-technical users to generate personalized analytics and insights. The platform allows users to build customized dashboards by dragging and dropping visualizations, chat with their data using plain language to get instant answers, and generate AI-powered reports that distill key data insights. SMAQ connects seamlessly to multiple data sources, providing a unified interface for data exploration and analysis.
Target Audience
SMAQ targets business users, analysts, and decision-makers who need to access and analyze data but lack the technical expertise to write SQL queries or build complex reports.
Features
- Natural language interface for querying databases without SQL knowledge
- Drag-and-drop dashboard builder for creating customized visualizations
- AI-powered report generation with automatic theming and key insight distillation
- Personalized AI insights tailored to user roles and company objectives
- Seamless connection to multiple data sources including BigQuery, Excel, MySQL, PostgreSQL, SQLite, Supabase, and CSV files
- Embeddable AI dashboards and reports for customer-facing analytics
- White-labeling options for matching brand identity