From disconnected pipelines to answers on demand
An AI-first medallion architecture, with Fabric and Snowflake MCP servers that respect existing permissions.
Data & Analytics Applications
We build it, host it, and keep it running.
A maintained warehouse, the models that run on it, and the applications your people actually open — delivered as a service rather than a project. You get the working system, and someone other than your analyst is on the hook for keeping it up.
Would you rather your own team built and ran it? That is what the Fabric and Data Architecture Workshops are for.
Maintained Data Warehouses
Machine Learning Training and Hosting
Application Development — Web, iOS and Android
Maintained Data Warehouses
Most of the effort in analysis is still data preparation. A central source of clean data that matches how the business actually measures itself is what removes it — and keeping that source correct is ongoing work, not a project with an end date.
We design the model, build the pipelines, and then stay responsible for them: monitoring the loads, fixing the breaks, and absorbing the schema changes your source systems make without telling anyone. You get a warehouse that is still right in eighteen months.
Microsoft Fabric
Snowflake
Azure
Power BI
How a warehouse gets built
- Data model design Merges business understanding with warehouse design practice. The decisions here set up both today's reporting and tomorrow's models.
- Extract and load Scheduled jobs that connect to source systems, parse APIs, read files and run database queries, pulling many sources into one place.
- Transform Where the business rules live — how data from separate systems stitches together, and what each metric actually counts.
- Operate Refreshes run, failures alert, and someone other than your analyst owns the fix. This is the part a project hands back and a service keeps.
Machine Learning Training and Hosting
A model that lives in a notebook is a demonstration. A model behind an endpoint, retrained on a schedule and watched for drift, is something the business can actually depend on.
We train models against your warehouse, host them, and keep them honest — scheduled retraining as new data lands, monitoring for the quiet accuracy decay that follows a changed business process, and a versioned rollback when a new model turns out worse than the one it replaced.
Azure ML
Snowflake
Microsoft Fabric
Python
What we train and run
- Forecasting Seasonally adjusted demand, revenue and volume forecasts fed by the warehouse.
- Segmentation and scoring Customer segmentation, propensity and risk scores written back where the business already works.
- Document and text models Sentiment, classification and named entity recognition over the unstructured material nobody has time to read.
- Optimization Assignment, routing and territory problems where the answer is a schedule or an allocation, not a chart.
- Hosted inference Endpoints your applications call, with authentication, logging and a versioned model behind them.
- Retraining and monitoring Scheduled retraining, drift detection, and a recorded reason whenever the live model changes.
Application Development — Web, iOS and Android
The warehouse and the model only pay for themselves at the point someone uses them. That point is usually an application — and often one that has to work on a phone, in a yard or a warehouse, away from a desk.
We build the front end over the data we already run: web applications, native iOS and Android, and embedded analytics inside the tools your team is in all day. The applications we build follow one shape — take data in, give an answer back — and we host and maintain them the same way we do the warehouse.
React
Swift
Kotlin
Python
Power BI Embedded
What we build
- Web applications Internal tools and customer-facing applications reading live from the warehouse, with roles and permissions enforced server-side.
- iOS and Android Native mobile for the people who are not at a desk — inspections, capture, approvals and lookups that work on a phone.
- Embedded analytics Power BI and report content embedded inside your own application, with row-level security so each user sees only their own data.
- Natural-language interfaces Ask a question of the warehouse in plain English and get an answer back, scoped to what the asker is allowed to see.
- Automation workflows The scheduled, unattended work between systems that nobody should be doing by hand twice.
- Delivery pipelines Git, automated testing and continuous deployment, so a change ships the same way every time.
What being the provider means
"Maintained" is easy to write and expensive to mean. Here is what it commits us to.
We operate it
Monitoring, failure alerting and the fix are ours. Your analyst is not the person who finds out a load broke.
You own it
The code, the models and the data stay yours, in your cloud tenant and your Git repository. Nothing is locked behind our account.
It keeps working
Source systems change their schemas without warning. Absorbing that is part of the service, not a change request.
One team throughout
The people who designed the model build the application on top of it, so the answer is the same at both ends.
Work we have delivered
Newest first, across both service lines. Our current work is four standing relationships with heavy-equipment dealers — most running several months and multiple projects.
Analysts shipping their own apps
Citizen developers now deploy Fabric Apps through GitHub CI/CD, having never used Git.
Automation brought in-house
A weekly team replacing a third-party contractor with Azure Logic Apps, across dev and prod.
Prototypes turned into production
Claude Code work deployed as Fabric Apps with row-level security and Fabric IQ.
Real-time commission dashboards
Migrated a 90-plus rep sales team from monthly commission statements to always-available dashboards with row-level security for reps and managers.
Talk to my data
A natural-language interface over a Snowflake warehouse. Ask in plain English, get answers back without writing SQL.
Accord 25 insurance form analysis
A Streamlit app that checks insurance certificates against legal standards by vendor type — compliance verification for vendor submittals on the spot.
Power BI automation pipelines
Continuous delivery for Power BI reports — automated testing, deployment and version control.
Territory management optimization
Data-driven analysis for a sales geography restructuring — balanced workloads against coverage efficiency.
Let's build something together
Tell us what you need built and what you already have running. Twenty minutes is usually enough to tell you whether this is a fit and roughly what it costs.