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NaturalQuery is an AI-powered data intelligence platform meticulously designed to democratize business analytics. By dismantling the steep learning curve associated with SQL and traditional BI tools, NaturalQuery empowers non-technical personnel to extract sophisticated insights directly from raw data through intuitive conversational interfaces.
NaturalQuery is pioneering a conversational interface for business data. Their long-term strategy focuses on replacing cumbersome dashboarding setups with generative AI agents capable of automatically modeling, querying, and visualizing insights in plain English.
The platform's "secret sauce" lies in its automated semantic layer mapping. Unlike traditional BI tools that require a dedicated data engineering team to model data, NaturalQuery’s AI automatically maps the data schema, interprets complex relationships, and generates a robust business context model upon connection. This removes the technical bottleneck and drastically accelerates the time-to-insight.
Users initiate the process by ingesting data via CSV uploads, Google Sheets connectors, or standard data warehouse integrations. AI agents then ingest the schema and map the business context. Stakeholders can query the data using natural language through a native web application or a seamless Slack integration. The platform provides contextual answers, statistical explanations, and dynamic visualizations—such as churn trend charts—on demand.
While specific founding details remain confidential, the platform is positioned as an enterprise-grade solution. It serves as a vital resource for startups and SMBs that lack the overhead for a dedicated data team, as well as larger organizations seeking to empower departments like sales, marketing, and product management with self-service analytics.
NaturalQuery operates as a disruptor in the self-serve BI and NLQ (Natural Language Querying) space. By bridging the gap between raw data storage and executive comprehension, it circumvents the need for legacy visualization tools like Tableau, delivering insights directly into the flow of work.
Talk to your data with no code required and get actionable insights instantly.
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Implementation
Developed an agentic RAG system with CrewAI, integrating multi-agent reasoning, real-time web search, and deployment on AWS with a Streamlit interface.
Developed a vision language app that fine tunes Qwen2 VL with LoRA to convert equation images into LaTeX, evaluated accuracy, and deployed with a Gradio demo.
Transform natural language into optimized SQL queries with AI-driven intelligence. NaturalQuery combines the power of GPT-4, FastAPI, and Streamlit to make database querying accessible to everyone.
Detailed Analysis Traces for AI jobs leveraging spot GPU resources
Detailed Analysis Traces for GPU-Disaggregated Deep Learning Recommendation Models
Paper: Deep Learning-Based Early Emotion Recognition in Children with Autism: Dataset Insights, Model Enhancements, and Design Strategies
Implementation: Protecting Student Mental Health with a Context-Aware Machine Learning Framework for Stress Monitoring
Awesome LLM compression research papers and tools.
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