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Partnerships

Partners we build with. Your footprint decides.

We partner with IBM, through IBM Partner Plus, with Microsoft and with Snowflake, and we build on Databricks, AWS and Google Cloud. None of these partnerships is exclusive. What we recommend follows your data, your contracts and your team, not a partner's quota.

Talk through the platform you run Selling one of these platforms? Start here
The Data IQ method, its four stages, connected in turn to IBM, Microsoft, Snowflake, Databricks, AWS and Google CloudData ProductsData IQ™ methodDecideBuildSecureMake it stickIBMPartnerMicrosoftPartnerSnowflakePartnerDatabricksPlatformAWSPlatformGoogle CloudPlatform
One method, on whichever platform you already run.

Our partners, and the platforms we build on.

The partner pages show what we have built with each, every tool in their portfolio mapped to the service of ours it belongs to, and how to start.

IBM Partner Plus

IBM

Assistants and agents that work inside live service channels, from IBM's earlier assistant platform to watsonx Orchestrate today.

  • Assistants in front of real callers and customers, with a clean hand-off to a person
  • Answers drawn only from approved sources, with the rules enforced on every response
  • Agents that act across the systems you already run
  • watsonx Orchestrate
  • watsonx.ai
  • watsonx.data
  • watsonx.governance
  • Confluent
  • +16 more

Our listing in the IBM Partner Plus directory (opens in a new tab)

IBM and Data Products

Microsoft partner

Microsoft

Data platforms on Azure and Microsoft Fabric, with Power BI reporting that people use because the numbers agree.

  • Data platforms with automated ingestion and a governed semantic layer
  • Row- and column-level security for sensitive data
  • Power BI reporting built on one definition of each number
  • Fabric
  • Power BI
  • Foundry
  • Copilot Studio
  • Purview
  • +17 more
Microsoft and Data Products

Snowflake partner

Snowflake

Data platforms on Snowflake, modeled and secured once, and ready for the reporting and AI use cases that justified the platform.

  • A people-data platform for a multi-site care provider, built on Snowflake
  • One definition of each measure, for dashboards and AI agents alike
  • Access set by row and column before AI reaches the data
  • Openflow
  • Dynamic Tables
  • Cortex AI
  • CoWork
  • Horizon Catalog
  • +15 more
Snowflake and Data Products

Platforms we build on

These are the platforms we lead with, not the whole list. The wider stack our teams work in is below.

The wider stack our teams work in

The partners and platforms above are the ones we lead with. Our delivery teams also build with the 63 tools below, and the people we put on your work have used the tools it runs on.

AI models and agent frameworks

In Generative AI & AI Agents

Retrieval, search and assistants

In Generative AI & AI Agents

Machine learning and optimization

In AI & Machine Learning

Data engineering and streaming

In Data Engineering & Platforms

BI and semantic layers

In BI & Data Visualization

Governance, quality and master data

In Strategy & Governance

How we work with partners

  1. Model-neutral by policy

    No model, platform or partner decides what we recommend. Your data and your footprint do.

  2. None exclusive

    We hold partnerships, none exclusive, and take no exclusive vendor incentives.

  3. Start from what you run

    Before anything new is bought, we look at what your licenses and contracts already cover.

  4. Say when the platform isn't the answer

    If the gap is data, process or adoption, a new platform will not close it, and we say so.

For partner teams

Selling IBM, Microsoft or Snowflake? When to bring us into an account.

These are the situations where a license is sold but the value has not arrived yet. Each has an engagement we run on the platform your customer already bought.

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

Questions

Do partners influence what you recommend?

No. We are model-neutral by policy: the recommendation follows your data, your contracts and your team. We hold partnerships, none exclusive, and take no exclusive vendor incentives.

Do you work on platforms not listed here?

Yes. The partners and platforms here are the ones we lead with. The wider stack lists more of the tools our teams build with, and the practice pages describe the work whatever the platform.

Can we see work built on our platform?

Yes. The IBM, Microsoft and Snowflake pages show the engagements built on each, and the case studies describe them in full.

I sell for one of these partners. What happens after I send an account?

A person from our team replies, and we agree the approach with you before anyone contacts the customer. Nothing you send is added to a mailing list.

Bring the platform question you're stuck on.

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

Book a call about your stack

For partner teams

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.

Partners, none exclusive. The recommendation follows your footprint.

Talk through your stack