Which sources can you connect?

We confirm support for your sources and warehouse during the fit review.

We confirm the supported environment and requirements during scoping.

Can we use AI with our data?

The platform includes AI chat and MCP. We confirm suitability and permissions for your use case.

Early access and paid pilots are open

Your data team,
as a platform.

Q: Do we need a data team?

No. Our data engineering services handle the build. You need a business owner and someone who can authorize access to your systems.

Q: What does a paid pilot cost?

It depends on scope, systems and support level. You get a written proposal first.

Polaris connects your tools, defines your metrics once, and gives everyone trusted answers in chat and dashboards, set up with engineers who've done it before.For B2B SaaS and e-commerce teams without a data team.

Book a demo See how it works

Works with your stack

From scattered sources
to one trusted business view.

Polaris connects 50+ sources to your own BigQuery, ClickHouse or Snowflake warehouse, models them with dbt and monitors platform health with Telescope. Answers come through Ask Polaris chat and Hex, with Slack, ChatGPT and Claude coming soon.

Learn More

From the team at Datum Labs

150+

Data projects delivered

140+

Customers served

25,000+

Hours of data engineering

~30 min

From raw data to a working dashboard, in our tests

Your week with Polaris

Monday, 9am.
Your numbers are already in Slack.

Revenue, pipeline and churn land in Slack. Every number shows where it came from and whether it's fresh. No spreadsheet to rebuild, no data hire to wait for.

# leadership · Weekly numbers

Monday

PolarisAPP9:00 AM

Good morning. Here are this week's numbers.

Weekly business reviewLast 7 days

Revenue (MRR)$128.4k▲ 4.2%Source: StripeFresh · 6 min ago

Pipeline$412k▲ 9%Source: HubSpotFresh · 12 min ago

Churn2.1%▼ 0.3 ptSource: StripeFresh · 6 min ago

Ask a follow-upView definitionView query

🙌 2👀 1

Sara9:02 AM

Nice. Why did churn drop?

Daniel9:03 AM

Asking @Polaris now 👇

PolarisAPP9:03 AM

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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.

Book a demo

Without Polaris

With Polaris

Built for

B2B SaaS & E-commerce teams,
20 to 200 people.

B2B SaaS

MRR, churn and pipeline you can trust.

Billing, CRM and product data in one model, so finance, sales and the board see the same numbers.

E-commerce

Orders, repeat rate and channel profitability in one view.

Store, ad and finance data reconciled, so marketing and finance agree on what each channel earns.

Is it a fit?

A good fit if one of these sounds familiar:

You're about to hire your first data person.
Your board deck takes a week.
Teams argue about whose revenue number is right.

Not for large enterprises with established data platforms, or real-time ML workloads.

For founders and COOs, RevOps and finance leads, and first data hires.

Book a demo

How the data platform works

From your tools
to trusted answers.

Your warehouse. Your git repo. Your Context Layer. If you leave, everything stays with you.

Data integration

Connect your tools.

CRM, billing, product, ads and finance data flow into your own warehouse through our data integration platform.

Agreed warehouse

Business tables

DefinitionsTestsDocs

Context Layer

Define your business

Revenue, churn and pipeline are defined once in the Context Layer, your semantic layer, versioned in git, so every team works from the same numbers.

Hex dashboard

Revenue

$84.2k+12%

Orders

1,284+8%

Repeat rate

32%+3 pts

Trusted answers

Ask in chat or dashboards.

Get an answer with the number, its definition, the query behind it and how fresh the data is.

Trusted answers

Every answer shows
how it was made.

Ask a question in plain English, in chat or a dashboard. Polaris answers with the number, the metric definition from your Context Layer, the query behind it and how fresh the data is, so nobody has to take a number on faith.

The number, and how it changed
The metric definition, from your semantic layer
The SQL query behind it
When the data was last refreshed

Ask Polaris

What was net revenue last month?

$128,400

Net revenue in October, up 6.2% on September.

Definition: Gross revenue minus refunds and discountsFrom your Context Layer, net_revenue v3
Query: select sum(net_revenue) from finance.revenue_daily where month = '2026-10'
Freshness: Updated today at 08:52 from Stripe
Trust: FreshFresh and stale status is coming soon

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

Data warehouse implementation with a semantic layer: dlt ingestion, Dagster orchestration, dbt models and MetricFlow metrics, with the Context Layer in git. AI-drafted dbt models arrive as pull requests, access is controlled per table with an audit log, and Telescope monitors platform health.

Ingestion

Warehouse

dbt

Dagster

Telescope

Analytics

See it in motion

How Polaris works,
in under a minute.

From scattered data to one trusted business view.

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Engineers included

AI drafts.
Engineers who've built this before decide.

Mahnoor Khan

Founding Product Manager

Humayun Jawad

Founding Engineer

Usman Ali

Founding Infrastructure Engineer

Early access · Paid pilot

Explore Polaris,
or scope your first use case.

Exploring

Early access

Early access includes a demo, a scoping call, and up to one month's free trial.

Short application and fit review
Selected teams get a demo
Applying doesn't guarantee access

Book a demo

Ready to solve

Paid pilot

A defined use case, built with our team. You get a written proposal with scope, price and acceptance criteria before work starts.

Discovery and scoping call
Written proposal with price and acceptance criteria
Work starts after agreement

Discuss a paid pilot

Book a demo now

What should your data answer?

Tell us about one decision, the systems involved and what's getting in the way.

Thanks, we've got it.

We'll review your use case and get back to you about next steps.

Something went wrong while sending. Please try again in a moment.

Data platform FAQ

FAQ

Do we need a data team?

No. Polaris is built for teams without one. Engineers who've done it before set it up with you; you need a business owner and someone who can authorize access to your systems.

Which warehouses and sources do you support?

Polaris runs on ClickHouse, BigQuery, Snowflake or Postgres, and connects to 50+ sources. Top connectors include HubSpot, Salesforce, Google Analytics (GA4), Google Ads, Facebook Ads and Pipedrive for sales and marketing; Stripe and Shopify for revenue and e-commerce; Google Sheets, Notion, Airtable and Slack for everyday work; and Zendesk, Freshdesk, Jira and Asana for support and operations. We confirm your exact connectors during scoping.

Is early access free?

Applying costs nothing. Any participation terms are explained before you agree.

What does a paid pilot cost?

Every pilot is scoped to your business. You get a written proposal with scope, price and acceptance criteria before any work starts.

Where does it run?

In your own ClickHouse, BigQuery, Snowflake or Postgres database. Your data, git repo and Context Layer stay with you.

Is it self-service?

Not at launch. Engineering help is included, and setup and handoff are agreed upfront.

What happens after a pilot?

We review the outcome together and agree on handoff, support or a wider rollout.