Solutions / ETL & Data Pipelines
Every source, transform, and destination — in sync, so a broken pipeline tells you before your dashboard lies.
Pipelines fail quietly, and the first sign is usually a wrong number in a report downstream. Intuidy keeps sources, transforms, and destinations in sync — then acts: validating data, catching failures, and alerting before bad data spreads.
Your etl & data pipelines systems in sync — then acting on their own.
Connect every tool your team already runs into one live picture — then let it act: route the approval, trigger the update, reconcile the records, before anyone has to chase them. Intuidy AIPI — the engine that builds your backend — handles the data, the security, and the plumbing.
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Stop finding out your pipeline broke from a wrong dashboard.
Data moves through sources, transformations, and destinations that each fail in their own way, so a silent break upstream becomes a bad decision downstream days later.
Intuidy keeps the whole flow in sync and acts on its health: validating records in-flight, catching failures at the step they happen, and alerting the owner before stale data reaches a dashboard. You can build the exact pipelines and checks your data team needs — in weeks, not quarters.
Driving Outcomes
What teams put in sync — and automate
“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.
Pipeline Intelligence
See it — every pipeline and its health in one live picture.
Scheduled Pipelines
Create recurring database-to-dashboard workflows that run on any schedule — every 15 minutes or once a month.
Data Consolidation
Merge data from MSSQL, MySQL, MongoDB, PostgreSQL, and more into a single unified view.
Data Quality Monitoring
Catch nulls, duplicates, and schema violations before they reach your dashboards.
Pipeline Observability
Every pipeline execution logged with timing, row counts, and error details for full auditability.
Pipeline Automation
Act on it — validation, retries, and failure alerts run automatically.
Automated Reporting
Calculate, format, and email reports on schedule — no manual assembly step.
Event-Driven Triggers
Start pipelines based on data events, webhooks, or upstream workflow completions.
Transform Nodes
Built-in nodes for filtering, aggregating, joining, and reshaping data without code.
Multi-Destination Output
Push pipeline results to dashboards, databases, files, APIs, or Slack — simultaneously.
Failure Alerts
Pipeline failures trigger immediate alerts with error context and suggested fixes.
Performance Metrics
Track pipeline execution times, data volumes, and success rates across all workflows.
Start Building
Describe the app your team actually needs. Our engineers will map it, connect your data, and help you ship it — in weeks, not quarters.