Clarity
Explain what we recommend, why it matters and what it means for your team in plain language.
About Source Connectors
We build custom integrations for the systems you already use, then manage the day-to-day running and routine changes. We also help teams build cloud data platforms in their own environment.
Your systems
Source Connectors
Dedicated integrationBuilt around your systems.
We build, monitor and update it.Your AWS account
Your S3 bucketYou own the data and control access.
Why this work matters
An integration touches more than an API. It needs to fit your business processes, account for how each system behaves and support the people who use the data every day.
We follow the full journey: where the data comes from, how it is checked and where it needs to land. For managed integrations, we keep operating and improving the service after launch.
The design should fit your organisation. That means clear data controls, useful documentation and an operating model that everyone understands. Cloud data-platform work stays in your environment, with handover or ongoing support agreed separately.
Working principles
These principles guide architecture, delivery and the conversations around them.
Explain what we recommend, why it matters and what it means for your team in plain language.
Build in data checks, monitoring and recovery so everyday issues are visible and manageable.
Choose technology that fits your workloads, controls, people and budget.
Be clear about who owns the data, the platform and the work that keeps each service running.
Ireland focus
We work with finance, operations, IT and data teams across Ireland. The work is shaped around your priorities, existing systems and the people who rely on the data. You get a named team, direct conversations and clear responsibilities from the start.
Tools
Explore our SuiteQL editors and toolkit for working with NetSuite data.
A Python library and CLI for extracting data from NetSuite, Salesforce, Jira, SharePoint and Redshift into typed pandas DataFrames.
Learn moreA Visual Studio Code extension for browsing NetSuite schema, writing SuiteQL with autocompletion, and running queries in the editor.
Learn moreA query editor for writing and running SuiteQL against NetSuite, built to make ad hoc data checks fast.
Learn morePublishes NetSuite table, column and join schema to the File Cabinet, powering schema browsing in our SuiteQL tools.
Learn moreA Yeoman generator that scaffolds a TypeScript build pipeline for NetSuite SuiteCloud (SDF) projects.
Learn moreA TypeScript library for building and running SuiteQL queries programmatically inside integration and reporting code.
Learn moreLet’s talk
Share the systems involved, where the data needs to land and what is getting in the way. We’ll help you work out the next step.