Software Engineering
Custom applications where data is central to the workflow: internal tools, customer-facing data products, and automations that read from and write back to your governed platform. Built to production standards, embedded where the work actually happens.
The problems this solves
The spreadsheet workflow
A critical process lives in a workbook emailed around with macros, and everyone knows it.
The 80 percent tool
Off-the-shelf software covers most of the job, and the missing 20 percent costs you daily.
A platform with nothing on top
Your data foundation is solid, but no operational tools actually run on it yet.
The backlog wall
Your engineering team is booked for quarters, so the data team’s tool requests never ship.
Applications that inherit the platform, not reinvent it
Software built on top of governed data gets its security, definitions, and quality for free. What a user sees in the app respects the same permissions as every query in the warehouse.
Diagram of a custom data application in three layers: an interface layer of web apps and embedded views, an API and services layer, and the governed data platform underneath. Arrows show the application reading governed data and writing actions and events back. A note indicates the application inherits the same role-based access controls as the data warehouse.
What our software engineering includes
We build from the data outward, so the application trusts the same numbers as your reporting, by construction.
- Internal tools and operational apps on your data platform
- Customer-facing data products and embedded analytics
- APIs and services over governed data
- Workflow automation that writes decisions back to source systems
- Integrations across CRM, ERP, and finance tools
- Authentication and role-aware access aligned to platform RBAC
- Production practices: code review, testing, CI/CD, observability
- Ongoing evolution as the workflow and the business change
How we work
Define
The workflow, the users, and the decision the software exists to speed up.
Design
Against the data platform from day one, so definitions and permissions come along free.
Build & integrate
Production standards throughout: reviewed, tested, deployed through CI/CD.
Ship & iterate
Into real hands early, then evolved on real usage rather than a frozen spec.
Outcomes
Software that closes the loop between insight and action. The dashboard says what to do; the application is where it gets done.
Frequently asked questions
How is this different from hiring a general dev shop?
We build from the data outward. Platform, governance, and application are designed as one system, so the app shows the same numbers as your reporting and enforces the same permissions as your warehouse, by construction rather than by coordination.
Can you extend our existing product instead of building new?
Yes. Embedded analytics, data-driven features, and integrations inside your current application are common engagements, and often the fastest path to value.
What technology stacks do you work in?
Modern web frameworks and cloud services, chosen to fit your environment and your team’s ability to maintain them. The constant across projects is the governed data layer underneath, not a house framework.
Who owns the code?
You do. Repositories live in your organization with documentation included. We can keep building as your external team or hand off cleanly, and that choice stays yours.
Where this connects
Analytics & Agentic Activation
Dashboards your teams check daily, and AI agents they can question in plain language, both reading from the same governed definitions.
Generative AI
Large language model applications grounded in your governed data, running inside your security perimeter.
Data Engineering
We build the data pipelines and models everything else depends on: automated ingestion, a governed cloud warehouse, and version-controlled transformations with tests.
Build what your workflow is missing
Bring us the spreadsheet, the swivel-chair process, or the tool that almost works. We will scope what it takes to replace it properly.
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