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Snowflake partner

Your data on Snowflake, ready for the work it was bought for.

We build on Snowflake for organizations that need governed, analysis-ready data: modeled once, secured at the row and column, and ready for the reporting and AI use cases that justified the platform.

Openflow · Dynamic Tables · Cortex AI · Snowflake CoWork · Horizon Catalog · Streamlit

Illustrative: the capacity already bought, put to work one governed workload at a time.

Built on Snowflake

Where Snowflake fit: the central store the core people system lands in, modeled once for reporting, with Power BI's semantic layer on top and Azure alongside. One platform, three vendors: we build across mixed estates rather than force one stack. The client is described, not named.

  • A multi-site care provider

    A people-data platform over the core people system

    Scattered HR spreadsheets replaced by automated ingestion and modeling, row- and column-level security, a semantic layer and HR dashboards, so leaders work from live data instead of weeks-old reports.

    • 30%reporting efficiency gained
    • 45%fewer reporting errors
    • 70%of staff found it easier to use

    Built on Snowflake, with Azure and Power BI

    Read the case study

What we solve together

Four situations where Snowflake and our team fit together. Each starts with a fixed-scope engagement.

  1. A data platform on Snowflake

    Ingestion, modeling and the pattern every later pipeline follows, so new sources land the same way.

    Scope a platform build with us
  2. AI on governed Snowflake data

    Use cases built on data that is already modeled and secured, and taken to production against a number the business tracks.

    Plan an AI use case with us
  3. One set of definitions for reports and agents

    Semantic views that define each measure once, so the dashboards and the AI agents give the same answer to the same question.

    Talk through your measures
  4. Access and accountability

    Who may see what, who owns each data set, and the evidence that the rules hold, before AI reaches the data.

    Talk through your rules

For Snowflake sellers

Selling Snowflake? When to bring us into an account.

Each of these is a Snowflake commitment that has not yet turned into results. We run the engagement on the platform your customer bought, and agree the approach with you first.

How a referral works

  1. Tell us the account and the situation. Your name, your email and one line are enough.
  2. We talk with you first. Nothing reaches the customer until we agree the approach.
  3. We run the engagement on the platform you sold, and keep you informed.
Send us an account

The Snowflake portfolio, mapped to our services

Snowflake's data, AI, automation and copilot tools, and the service of ours each one belongs to.

Product names last reviewed in October 2026. Preview means the partner has not made it generally available yet.

Questions

Are you a Snowflake partner?

Yes. We are a Snowflake partner, and we are model-neutral by policy: no partnership is exclusive.

Do we need Snowflake to work with you?

No. The recommendation follows your data and your footprint. If your platform is Snowflake, we build on it.

Can you work alongside Azure or Power BI?

Yes. The people-data platform above runs on Snowflake with Azure and Power BI.

Will more workloads mean a bigger Snowflake bill?

Each workload is costed before it goes live: the cost per pipeline run and per query is known at the planned volume, so the credits go where the value is.

I sell Snowflake. How do I bring you into an account?

Use "Send us this account" on the situation that fits, or send us an account from this page. A person replies, and we agree the approach with you before anyone contacts the customer.

Bring the workload that should be on Snowflake by now.

Whether the platform is new, half-migrated or up for renewal, the first conversation is about what it should be doing for you.

For Snowflake sellers

Tell us about the account

We talk with you first. Nothing reaches the customer until we have agreed the approach together.

Read only by the people who handle partner accounts. It subscribes you to nothing.

Built on Snowflake. Governed data, ready for reporting and AI.