Main Features

The pace of development right now is insane! Agents running in parallel on different tasks accelerate development and make it possible to achieve much more in less time. Most data teams use 3–5 tools to answer a basic business question. I’m trying to simplify this. I'm building what I believe is the next-generation AI-powered data platform. Not just another BI tool. A platform that connects the entire data lifecycle in one place. Here’s what already works today: ✅ Connect to multiple data sources ✅ Flexible JSON API endpoints – connect to almost any API and analyze the data without writing code ✅ Build no-code ETL pipelines with dependencies between flows, retries, logs, and triggers ✅ Merge datasets including nested JSON and complex data structures ✅ Full support for semi-structured data – extraction, manipulation, filtering, flattening, and analysis directly inside charts ✅ Store data after pipelines in different destinations (databases/data warehouses) ✅ Automatic database table or collection creation, updates, and upserts based on incoming data changes ✅ Query datasets using no-code configuration ✅ Chat to improve and write complex SQL queries ✅ Run charts directly on the customer’s warehouse (great for on-prem and security-sensitive environments) ✅ Embedded analytics for customer-facing products ✅ Security settings and permissions for embedded dashboards ✅ Caching layers to improve query performance and dashboard responsiveness ✅ Advanced permissions layer for organizations ✅ Automatic performance recommendations for your data warehouse ✅ Ability to replace or test databases and pipelines safely ✅ ESOF AppSec ADA CASA certified And there’s a lot more in progress: 🚧 API-first platform https://api.bipeye.com/v1arrow-up-right 🚧 Create charts using chat 🚧 Embedded chat & AI insights inside dashboards 🚧 Automatic insights and actionable recommendations 🚧 Change charts, measures, and dimensions using AI 🚧 Paddle integration for billing 🚧 MCP server 🚧 Version control for pipelines, datasets, dashboards, and charts 🚧 Edit and publish environments (development → production workflows) 🚧 Undo and revert capabilities for safer experimentation 🚧 Ability to change and configure models used by AI agents 🚧 Slack / Email integrations, thresholds, triggers, and alerts The goal is simple: Extraction → ETL → Data modeling → Trusted data layer → Analysis → Visualization → AI insights All in one platform. I built BI.P.EYE to help teams truly understand their data, reduce friction, and remove the uncertainty around numbers. No endless data stack. Just one place to actually work with your data. 🚀

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