
Solutions / ETL & Data Pipelines
Take the features you love from every tool you've ever used and combine them into a single custom app built for the way your team actually works. Intuidy AIPI handles the data, the security, and the backend.
Explore the Headless EcosystemMost data pipelines are fragile: hand-coded ETL scripts, cron jobs that fail silently, and transformations that break when source schemas change. When they fail, nobody knows until the dashboard is wrong — or the report is late.
With AIPI, you can build custom data pipelines with exactly the transformations your team needs — scheduled database pulls, multi-source consolidation, data quality checks, and automated report distribution — all visual, auditable, and maintainable without writing code. Your data, your schedule, one custom pipeline.
Driving Outcomes
“We were running 14 different cron jobs to get data from three systems into one dashboard. Now it's one workflow that runs every 15 minutes and hasn't failed in 6 months.”
Partner
SaaS Company — 3 databases, 50K+ daily transactions
Challenge
Customer data lived in MSSQL (CRM), MySQL (e-commerce), and MongoDB (support tickets). Building a unified view required custom scripts that broke monthly.
Solution
Intuidy workflows pull from all three sources on schedule, normalize the data with built-in transform nodes, and push a unified customer health view to a live dashboard.
Create recurring database-to-dashboard workflows that run on any schedule — every 15 minutes or once a month.
Merge data from MSSQL, MySQL, MongoDB, PostgreSQL, and more into a single unified view.
Catch nulls, duplicates, and schema violations before they reach your dashboards.
Every pipeline execution logged with timing, row counts, and error details for full auditability.
Generate and distribute reports on autopilot — formatted, calculated, and emailed on schedule.
Start pipelines based on data events, webhooks, or upstream workflow completions.
Built-in nodes for filtering, aggregating, joining, and reshaping data without code.
Push pipeline results to dashboards, databases, files, APIs, or Slack — simultaneously.
Pipeline failures trigger immediate alerts with error context and suggested fixes.
Track pipeline execution times, data volumes, and success rates across all workflows.
Describe the app your team actually needs. Our engineers will map it, connect your data, and help you ship it — in weeks, not quarters.