Lariat Data

About Lariat Data

Lariat is a Continuous Data Quality monitoring platform that identifies data anomalies before they impact end users, utilizing automated testing and validation techniques. The platform ensures that data products maintain integrity despite changes in business logic, input data, and infrastructure.

Lariat is a Continuous Data Quality monitoring platform that identifies data anomalies before they impact end users, utilizing automated testing and validation techniques. The platform ensures that data products maintain integrity despite changes in business logic, input data, and infrastructure.

What does Lariat Data do?

Lariat is a Continuous Data Quality monitoring platform that identifies data anomalies before they impact end users, utilizing automated testing and validation techniques. The platform ensures that data products maintain integrity despite changes in business logic, input data, and infrastructure.

Where is Lariat Data located?

Lariat Data is based in East New York, United States.

When was Lariat Data founded?

Lariat Data was founded in 2021.

How much funding has Lariat Data raised?

Lariat Data has raised $1.3M.

Location
East New York, United States
Founded
2021
Funding
$1.3M
Employees
3 employees
Investors
468 CapitalY Combinator

Lariat Data

4
Relative Traction Score based on online presence metrics compared to companies in the same age group.

Executive Summary

Lariat is a Continuous Data Quality monitoring platform that identifies data anomalies before they impact end users, utilizing automated testing and validation techniques. The platform ensures that data products maintain integrity despite changes in business logic, input data, and infrastructure.

lariatdata.com100+
Founded 2021East New York, United States

Funding

No specific funding rounds found.

Total Funding

$1.3M

Backed by

Y Combinator468 CapitalHike Ventures

Team (<5)

No team information available.

Company Description

Lariat is a Continuous Data Quality monitoring platform that identifies data anomalies before they impact end users, utilizing automated testing and validation techniques. The platform ensures that data products maintain integrity despite changes in business logic, input data, and infrastructure.

Sources:

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