Analytics & BI,
Engineered for AI.
One unified workspace for SQL, natural language, and GenAI workflows. Build semantic layers and ship insights without switching tools.
Analytics at scale
DuckDB-powered SQL infrastructure providing sub-second queries on massive datasets directly in the browser.
Read documentationGenAI & RAG
Query data in plain language. Generate interactive charts, actionable insights, and narratives automatically.
Explore architectureUnified pipelines
Combine ETL, notebooks, and production dashboards into a single, cohesive developer experience.
View pipelinesPlatform Architecture
Explore the technical implementation of our core systems.
DuckDB Integration
Client → API → DuckDB. Server-side SQL and robust Python interoperability for high-performance workloads.
View detailsRetrieval-Augmented Generation
Documentation → Embeddings → Vector Database → LLM Context → Grounded, accurate responses.
View detailsData Ingestion
Files and external databases → Unified import pipeline → Schema validation → Optimized columnar storage.
View detailsAgent Workflows
Event trigger → Context retrieval → Reasoning engine → Action execution → State persistence.
View detailsLive Telemetry
AI Analytics Engine DB
Real-time vector operations and query execution
| Timestamp | Latency | Jitter | Operation Log |
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Built for Data Engineering Teams
Adeloop bridges the gap between raw data and AI insights. Build versioned semantic layers, automate real-time ETL triggers, and ship unified analytics with confidence.
AI-Powered SQL
Translate natural language to sub-second queries.
Semantic Layer
Map complex business logic to your data structure.
Live Automation
Deploy real-time AI triggers for high-volume streams.
Modern Pipelines
Scale your workloads with pythonic directed acyclic graphs.
Start building with Adeloop
Access the documentation to integrate analytics and GenAI natively into your workspace.