Pick your first step
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Built around your business.

We don't start with a technology. We start with the systems you already run — and connect them to the decisions that matter. These are the platforms and tools we work with most.

  • Microsoft
  • Snowflake
  • Databricks
  • Anthropic
  • OpenAI
  • Fivetran

How we choose a stack

Three rules, in this order:

  1. 01

    Keep what works.

    If your ERP, CRM or data platform does its job, we build on top of it rather than replacing it.

  2. 02

    One primary platform.

    For most clients that's Microsoft: Azure, Fabric and Power BI, with Power Platform for operational apps. For companies already on Google or on a modern lakehouse stack, we work in Snowflake, Databricks or BigQuery.

  3. 03

    AI on your data, not next to it.

    Claude and OpenAI models are connected to your governed data and systems, so the answers come from your context.

Platforms and tools

AI & automation

  • Anthropic / Claude

    Decision assistants, AI workspaces connected to company data via MCP, agents

  • OpenAI / ChatGPT Enterprise

    Assistants and AI-enabled analytics

  • Microsoft Copilot

    AI inside Microsoft 365 and Power Platform, connected to company data

Cloud & data platforms

  • Microsoft Azure

    Data platforms, storage, pipelines and security for the Microsoft stack

  • Microsoft Fabric

    Lakehouse, warehouse and Power BI in one platform; migrations from on-premise

  • Snowflake

    Cloud warehouse for mixed and non-Microsoft stacks; migrations and modelling

  • Databricks

    Lakehouse and AI workloads at scale

  • Google Cloud / BigQuery

    Warehouse and analytics for companies on the Google stack

  • SQL Server

    On-premise and Azure SQL databases; reporting and migrations to the cloud

  • AWS (S3, RDS, Redshift)

    Data platforms for companies on Amazon's cloud

  • Amazon Redshift

    Cloud warehouse on AWS

  • MySQL

    Application databases as a data source

  • Oracle

    Legacy databases; extraction and migration

  • Firebase

    App back-end data for product analytics

Also on our radar

Tools we follow closely and can bring in when they fit your case.

  • MotherDuck / DuckDB

    Fast, low-cost analytics for small and mid-sized data; BI-as-code setups

  • ClickHouse

    High-speed analytics on event and operational data

Analytics & visualisation

  • Power BI

    Our primary BI platform; dashboards, semantic models, migrations from other tools

  • Tableau

    Dashboards and migrations to Power BI or AI-driven analytics

  • Looker

    Governed analytics with LookML on the Google stack

  • Looker Studio

    Free dashboards on Google data; quick reporting for marketing and small teams

  • Qlik

    Dashboards and migrations to Power BI

  • Plotly / Dash

    Custom Python analytics apps

  • Segment

    Customer data collection and routing

  • PostHog

    Product analytics

Also on our radar

Tools we follow closely and can bring in when they fit your case.

  • Omni

    Semantic-layer BI with a faster, spreadsheet-friendly interface

  • Hex

    SQL and Python notebooks that publish as dashboards and data apps

  • Lightdash

    Open-source, dbt-native BI: metrics live in dbt and are versioned in Git

  • Apache Superset

    Open-source BI that is easy to customise and embed

  • Evidence

    Open-source BI-as-code: reports from SQL and Markdown

  • Sigma

    Spreadsheet-style analytics directly on the cloud warehouse

  • ThoughtSpot

    Search and natural-language analytics

  • Cube

    Semantic layer that serves governed metrics to any tool or app

Data pipelines & modelling

  • dbt

    Transformation, testing and documentation — the core of our modelling

  • Fivetran

    Managed connectors to 600+ sources

  • Airbyte

    Open-source connectors

  • Stitch

    Managed connectors

Also on our radar

Tools we follow closely and can bring in when they fit your case.

  • Weld

    Lightweight ELT and modelling for mid-sized companies

  • dlt

    Open-source Python pipelines

  • Dagster

    Orchestration for modern data platforms

Operational apps

  • Microsoft Power Apps / Power Platform

    Operational layer on top of ERP and CRM; approvals, workflows, portals

  • Quickbase

    Operational applications

  • Retool

    Internal tools and admin interfaces on top of your data

ERP & finance

  • NetSuite

    Reporting, data extraction and operational layers on top

  • Dynamics 365 Business Central

    Reporting and custom apps on top

  • Xero

    Finance data for reporting

  • QuickBooks

    Finance data for reporting

  • Stripe

    Billing and revenue data

  • Chargebee

    Subscription billing data

Also on our radar

Tools we follow closely and can bring in when they fit your case.

  • SAP (S/4HANA, Business One)

    Data extraction and reporting on top of SAP

CRM & customer operations

  • Salesforce

    CRM data, dashboards and integrations

  • Bullhorn

    Recruitment CRM reporting

  • ActiveCampaign

    Marketing automation data

  • Zendesk

    Support data for service metrics

  • RingCentral

    Call and communication data

Industry systems

  • Procore

    Construction project data and reporting

Don't see your system? Ask us. Tell us what you run

Where each tool fits

ServiceTypical stack
AI Adoption & ScalabilityClaude, OpenAI, Copilot · connected to your data platform
Custom Operational LayerCustom apps in your Azure tenant, Power Apps, Retool · on top of NetSuite, Business Central, Sage, QuickBooks, Salesforce
Analytics & migrationsPower BI, Tableau, Looker
Data & IT Team ExtensionSpecialists by stack: Azure, Fabric, Power BI, Power Platform · Snowflake, Databricks, BigQuery · dbt, Fivetran, Airbyte · Claude, OpenAI, Copilot

Tell us what you already run

Discuss your technology stack

A 60-minute introduction call about your current systems and what to build on them.

Pick your first step with us