Portfolio
Problems we have been handed.
Every engagement is written up the same way: the problem as we found it, the approach we took, and the number that changed. The industries differ; the discipline does not.
- 6
- engagements written up
- 6
- industries served
- 27
- technologies in production
- 100%
- with a measured outcome
- Azure Document Intelligence
- OpenAI
- .NET
- SQL Server
- Power BI
- Python
- LangChain
- Azure OpenAI
- Zendesk API
- PostgreSQL
- dbt
- BigQuery
- scikit-learn
- HubSpot API
- .NET MAUI
- SQLite sync
- Azure App Service
- SignalR
- Xero API
- Azure Data Factory
- Databricks
- Prophet
- SAP integration
- Azure AI Search
- OpenAI embeddings
- React
- Entra ID
The index
Six cases, newest thinking first. Filter by industry, or read them all: the method is the same each time.
Bring us the problem.
A first conversation is free and usually enough to tell you whether this is a software, automation or AI problem, and what it would take to solve.
- 75+
- projects delivered
- 50+
- clients served
- 10+
- engineers
- 3+
- years in operation