Semantic data pipelines

Data pipelines that
understand your data.

Bring together your rules and AI to group, match and rank.
Explore the results. Estimate the cost. Put them to work.

Start building Explore the guide
A few steps. A useful result.

Make a product catalog speak the same language.

01 / 02
Product materials5 categories 3 groups 5 enriched categories

Dataset 5 rows

Product categories

  • Dining Table
  • Desk
  • Necklace
  • Hoodies
  • Sweat Pants
… prepare values

Dataset

Material values

Wood, solid wood,
cotton, cotton fabric, …

Output 5 rows

A consistent catalog

  • Dining TableWood · Metal · Glass
  • DeskWood · Metal · Glass
  • NecklaceGold · Silver
  • HoodiesCotton · Polyester
  • Sweat PantsCotton · Polyester
The original five categories
Meaning, connected.

Hover or select a step to see what it does. On mobile, swipe to see another example.

Illustrative example
01 / Explore

Estimate your cost
and data quality.

From just a small sample of data.

Meet the workbench
02 / Improve

Review your output.

With your hands, or with review agents.

Make feedback part of the workflow
03 / Put it to work

Deploy with
one click.

From research to a routine

Your next data product starts here.

Less glue code.
More useful data.

Open Relifold

Examples and interface previews are illustrative. Results depend on your data and task.