Early access and paid pilots are open

The data platform
for growing businesses.

Turn scattered data into a clearer business picture, with guided setup from our team.

Apply for guided early access Explore the platform

THE POLARIS STACK

From scattered sources
to one trusted business view.

Apply for early access

Data consolidation

Your data is spread out.
Your decisions need one answer.

Data is scattered: sales, finance and ops work from different systems.
Reports take too long: pulling numbers together eats the week.
Nobody agrees: teams debate the numbers before deciding.

Polaris consolidates your data into one shared foundation for the questions that matter.

Without Polaris

With Polaris

Illustrative use cases

Same data.
Your question.

Founders & ops

What changed this week, and where should we act?

One business view, updated on schedule.

Finance & sales

One revenue definition for everyone.

Shared revenue reporting instead of reconciling competing spreadsheets.

Data leads

Deliver and maintain business views consistently, with definitions, tests and documentation.

Examples of what a pilot can address. Scope and supported systems are confirmed during discovery.

Discuss a paid pilot

Data warehouse implementation

From first call
to a working business view.

Connect.

Agree the sources and test each connection with our data integration platform.

Agreed warehouse

Business tables

DefinitionsTestsDocs

Load and model.

Bring data into the agreed warehouse as business tables with definitions, tests and docs.

Hex dashboard

Revenue

$84.2k+12%

Orders

1,284+8%

Repeat rate

32%+3 pts

Run and use.

Schedule and monitor the workflow, then build the agreed dashboard with our team.

See it in motion

How Polaris works,
in under a minute.

From scattered data to one trusted business view.

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Apply for guided early access

Managed data platform

Built for business teams.
Inspectable by data teams.

For the business

Start with the decision you need to make. Our data engineering services shape the build around that question, then hand it over to your team as agreed.

For the data team

A documented stack: ingestion, dbt modeling and Dagster orchestration, with warehouse access and monitoring. Ideal for data warehouse implementation, from raw sources to a clean semantic layer.

Ingestion

Warehouse

dbt

Dagster