ReportIQ is an enterprise AI platform designed to transform raw company data into actionable intelligence. Our mission is to enable organizations to plug in diverse data sources—including databases, emails, spreadsheets, and documents—and instantly generate reports, summaries, and answers without manual effort.
We are building a robust, scalable, and secure AI assistant that serves as a central intelligence hub for modern businesses. Our platform leverages a hybrid architecture combining local privacy-focused models and cloud-based reasoning engines to deliver precise, context-aware insights.
- Unified Data Ingestion: Seamlessly ingest and normalize data from disparate sources such as SQL databases, PDF documents, Excel spreadsheets, and email servers.
- Hybrid AI Intelligence: Intelligently route queries between efficient local models for privacy and powerful cloud models for complex reasoning.
- Automated Reporting: Generate scheduled executive summaries, operational dashboards, and anomaly reports automatically.
- Enterprise Security: Built with strict multi-tenancy, row-level security, and identity propagation to ensure data isolation and compliance.
Our engineering stack is chosen for performance, scalability, and type safety:
- Core Platform: Java 21 / Spring Boot (Orchestration, Security, API Gateway)
- Intelligence Engine: Python / FastAPI / LangChain (RAG, Vector Processing, LLM Inference)
- Frontend Console: TypeScript / SvelteKit (Reactive User Interface)
- Data Layer: PostgreSQL 17 (Relational Data) + pgvector (Semantic Search) + pgai (In-Database AI)
- Infrastructure: Docker Compose (Local Development) / Docker Swarm (Deployment)
- reportiq-core: The central backend service handling authentication, API gateway functions, and business logic.
- reportiq-intelligence: The AI worker service responsible for document parsing, vector embedding, and LLM interactions.
- reportiq-console: The web-based administration and user interface.
- reportiq-infra: Infrastructure as Code (IaC), Docker configurations, and deployment scripts.
This organization is currently in active development. For inquiries regarding access, security, or contribution guidelines, please contact the engineering team directly.