Data quality & ETL platform

Raw data.
Better decisions.

PipeCraft cleans, profiles and industrialises your data through a visual pipeline editor, 40+ quality rules and Crafty, your AI co-pilot. Visualise in no-code dashboards and predict with ML models — no code.

Built for data teams

  • CSV
  • Parquet
  • JSON
  • NDJSON
  • SQL

Everything you need for reliable data

A complete toolkit to profile, clean and industrialise your datasets.

  • Visual pipelines

    n8n-style canvas editor: drag-and-drop rules, magnetic links and auto-layout for always-readable flows.

  • Quality rules

    40+ ready-to-use rules: nulls, casting, trim, regex, deduplication, value ranges, scaling — no code.

  • Crafty, your AI assistant

    Crafty optimises your rules and edits the pipeline on demand via the Ctrl+K command bar.

  • No-code dashboards

    Drag-and-drop dashboards: KPI widgets, charts and resizable tables, responsive across all devices.

  • ML predictions

    Train classification or regression models on your clean data, pick the algorithm, track metrics — in-pipeline.

  • Team pipelines

    Share pipeline access with colleagues by email, manage roles and collaborate on the same data flows.

How it works

From raw file to clean data, in four steps.

1

Import

Upload CSV, Parquet, JSON up to 20 GB or connect a database.

2

Build rules

Drag-and-drop quality rules on the canvas — clean, cast, deduplicate.

3

AI optimises

Crafty suggests improvements and adjusts the pipeline via Ctrl+K.

4

Run & export

Launch and get clean data ready for your tools and dashboards.

See it in action

The visual pipeline editor — source, quality rules, destination. No code.

pipecraft.cloud / pipelines / customer-cleanup
Pipeline customer_cleanup
Configuration Machine Learning
Source customers_2026.csv 48 291 rows
6 steps
Destination Parquet · S3
Palette Ctrl+Space
Rename columns
prenom → first_name · nom → last_name
Cast type
revenue: str → float64 · age: str → int32
Fill nulls
phone → "N/A" · 3 412 cells
Trim whitespace
first_name, last_name, city, country
Deduplicate
key: email · −1 204 rows
Filter rows
revenue > 0 · −89 rows
Ask Crafty anything Ctrl K

Get in touch

A question, a demo request, or just curious? We reply within 24 hours.

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Ready to industrialise your data?

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