Services
Modern data platforms, AI built on them, and the applications and integrations that run the business, delivered as managed services, scoped projects or engineers on your team.
What we do
Modern data platforms
The platform, the pipelines and the governance that reporting and AI depend on. Fabric for Microsoft estates, Databricks for heavy engineering and machine learning, and Snowflake for SQL teams that share governed data.
AI
AI-assisted engineering is how our engineers work. AI on your own governed data is where we help clients go next.
Applications
Custom applications, portals and the ERP integrations behind them.
Also in this practice: Salesforce development, SAP Fiori and functional consulting, API development and security testing, cloud-native development and DevOps, QA and testing
How we work
Case studies
Retail
78%
An AI-assisted tool that converts legacy ETL into tested Databricks pipelines. In a three-month first phase across 177 legacy jobs and scripts, it handled 78% of the legacy transformation types, with tests generated alongside every conversion.
Retail and distribution620+
One AI-assisted senior engineer closed every known vulnerability ahead of plan, then started consolidating five to six copies of the codebase into one set of services. About $78K a year projected, over $25K a year already realized.
Manufacturing
Six operating entities on one SAP ECC 6.0 system, brought into Fabric with no RFC bulk extraction and entity-level security. The client's Basis and SAP teams found the process much easier than they expected.
Manufacturing
10 sec
Syncs between Salesforce and Epicor took up to ten minutes. The rebuilt integration syncs in under ten seconds, and it shipped a week early and 6% under budget.
Distribution
100+
Winsupply’s own development center in Hyderabad, built from zero with Smart Data: 40+ engineers in the first year, grown to 100+, working across five business domains.
Healthcare
$16M+
Hired to add a state-mandated code to a health plan’s nursing facility file, our team noticed the process was mishandling records. The plan confirmed it, filed corrections and recovered $16M+.
Next step
Tell us the platform, the systems or the team you need.
What runs today, what needs to change and the date you’re working toward.
Scope comes from your systems as they are, before anything is priced.
Covering scope, team, approach and price.
Databricks
Claude
Angular
.NET Core
Microsoft Fabric
SAP Integration
Lakehouse Architecture
Salesforce
Java
SQL Server