The trust layer for data
Trust your data. Break silos.
Know what your data means at every step, and show why. With Limen, you can change a pipeline or swap a system without rebuilding trust each time.
- Certainty, not observability
- Shift-left validation
- Works with dbt · SQL · Python
As featured inThe Financial Brand
Introducing Limen
The trust layer for data
Producers state what they guarantee. Consumers state what they need. Limen checks the data where it enters, carries its meaning through every step, and confirms the guarantees cover every need.
Shift-left methodology
Catch data issues at the source.
Observability tools tell you something broke after it reached a dashboard, model, or customer. By then the bad data has spread.
Limen checks data where it enters and carries the result through every step, so a defect stops at its origin and the failure message says exactly what broke.
- No step runs until its requirements are met, either carried from upstream or checked on the spot.
- Failing batches stop before any consumer sees them.
- Producers and consumers share one contract, so teams stop guessing at each other's data.
- A defect caught at write costs a fraction of one found in a report.
Anatomy of a data contract
Every assumption, made explicit.
A data contract is the agreement between whoever produces a table and everyone who depends on it, written as executable clauses. Each clause is a promise Limen enforces on every run.
- Schema
- Columns, types, nullability, and primary keys the table guarantees.
- Freshness
- When the table must update and the maximum acceptable lag.
- Volume
- Expected row counts and how much they may move day over day.
- Distribution
- Null rates, percentiles, and value ranges that define normal.
- Integrity
- Joins, foreign keys, and referential checks across tables.
- Semantics
- Pinned business definitions, signed off by producer and consumers.
Data certificates
Certificates that trace back to the source.
A certificate travels with your data as a tamper-evident record of what was checked and what held. It links to the certificates of the data it came from, so any result can be traced back to its sources.
How it works
From agreement to certificate, on every run.
An unbroken chain of accountability from the moment a definition is agreed to the moment data is consumed.
Define criteria
Producer and consumer agree on what the data must mean: schema, freshness, distribution, and business semantics.
Encode & validate
The agreement becomes an executable contract that validates the data at transformation.
Issue certificate
A passing run issues a certificate carrying the verdict, a hash of the data, and links to the certificates of its inputs.
Stop on failure
A failing clause stops the batch and names the owners and the exact rule that broke, before anything downstream consumes it.
Get started
Data your whole team can trust.
Give every team that depends on your data the confidence that it's right, every run.