Product

Everything between a failed run and a merged fix

Four parts that share one lineage graph, so each knows what the others found.

One graph, four jobs

Every part of Tessel reads the same map of your pipelines, built from code, run logs and warehouse metadata.

  • Root-cause detection

    Lineage-aware incidents that point at the model that failed first, not the forty that depend on it.

  • Auto-fix pull requests

    A pull request with the change, the reason and a test that proves it. Your team reviews and merges.

  • Freshness checks

    Tessel learns when each table usually lands and warns you before a late load reaches a dashboard.

  • Column-level lineage

    A live map of every column from source to the models your dashboards read.

A closer look

  • Network of glass nodes joined by light trails, one node glowing red

    68% fewer alerts per incident

    Root-cause detection

    When a run fails, Tessel walks the lineage graph back to the first step that went wrong and sends one alert, not forty.

    How root-cause detection works
  • Translucent glass panels sliding into a stack, lit by violet and cyan trails

    83% of failures fixed without a human writing code

    Auto-fix pull requests

    For the failures it understands, Tessel writes the fix and a test, then opens a pull request in your repository for your team to review.

    How auto-fix pull requests works
  • Streams of light flowing steadily through a glass lattice

    14 days of history to learn each table

    Freshness checks

    Tessel learns when each table normally lands and warns you before a late load reaches a dashboard.

    How freshness checks works
  • Thin light filaments branching from a few glass blocks into many small tiles

    2 min to map a 500-model project

    Column-level lineage

    A live map of every column from source table to the models your dashboards read, so you know what a change will break before you merge it.

    How column-level lineage works
from run end to incident
90 s
of fix pull requests merged unchanged
79%
rows of your data read
0

In their words

  • The pull requests read like a colleague wrote them: what broke, why, and a test that proves the fix. We merge about four in five as they are.

    Omar Al SuwaidiStaff Data Engineer, Mizan Pay

  • It found a schema change upstream that had been silently dropping rows for three weeks.

    Karim MansourAnalytics Engineer, Nasma Cooling

  • Freshness checks learned our load schedule on their own. Finance stopped messaging me at 9:05 every morning.

    Hannah ClarkeAnalytics Lead, Manzil Homes

See it on your own project

We’ll connect a copy of your repository during the demo and show you real incidents.

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