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Services · Data Engineering
Data engineering for AI-ready operations.
Your business already has the data. It is just scattered across every system you run. We build the layer that brings it together, without replacing the software your teams depend on.
AI cannot accelerate an operation it cannot see.
Most mid-market and enterprise businesses do not run on a single system. Work lives in ADP, Salesforce, HubSpot, an ERP, a CRM, a field service platform, accounting software, databases and dozens of other SaaS applications.
Those systems work independently. Your data does not. Isolated records never tell the full story, and context is exactly what an AI system needs before it can be useful.
A deep understanding of how your business actually operates
How work moves role to role, what decisions get made, which systems are used, and where information is created.
The data behind those operations
Large volumes of historical and real-time data, so AI can understand context, identify patterns and make better decisions.
The build
We build the data layer between your business and AI.
We connect your existing systems, centralize the data, structure it, and turn it into a foundation AI applications can actually run on.
- 01 SaaS and operational systems Salesforce, HubSpot, ADP, ERP, CRM, field service, accounting, internal tools.
- 02 Integration and pipelines APIs, change capture and scheduled loads, built against the systems you already run.
- 03 Warehouse or lakehouse Databricks, Snowflake, Redshift, PostgreSQL, MySQL, SQL Server, or what you already own.
- 04 Cleaning, transformation, synthesis Entities reconciled, history preserved, definitions agreed once instead of per report.
- 05 AI-ready data layer Structured, contextualized and reliable datasets a model can be trusted to read.
- 06 AI applications and workflows Agents, copilots, forecasts and automations that finally see the whole operation.
No operational disruption. You do not need to replace or touch the software your business already uses. We build the layer that connects it.
Coverage
From fragmented systems to one operational picture.
We connect data across your existing technology stack and bring it into a single, governed environment.
We work with
- Salesforce
- HubSpot
- ADP
- ERP systems
- CRM systems
- Custom SaaS applications
- APIs
- Relational databases
- Legacy databases
- Internal operational systems
We build on
- Databricks
- Snowflake
- Amazon Redshift
- PostgreSQL
- MySQL
- SQL Server
- Other relational databases
Then we make the data useful for AI.
Putting data into a warehouse is not enough. AI applications need structured, contextualized and reliable data. We transform raw operational data into datasets and structures that can power real work.
The goal is not to move data. The goal is to make your business data usable by intelligence.
- AI agents
- AI copilots
- Predictive models
- Automated workflows
- Business intelligence
- Recommendation systems
- Machine learning models
- Custom AI applications
Existing systems → Unified data → AI workflows
Your existing software stays. Your AI layer sits on top.
You do not have to rip out Salesforce, ADP, HubSpot, your ERP, or the other systems your teams depend on. We connect them, we understand how your people actually work, then we create the data foundation required to build AI around those workflows.
systems your teams have to give up
operational picture across your whole stack
of the pipeline owned end to end, source to AI
Read the automotive case study
An automotive company built and shipped an AI application without touching any of its existing software. We put the underlying data to work instead. The full write-up covers the systems we connected, the data model we built, and what changed on the floor.
Built for companies ready to move beyond AI experiments
Get your data out of silos.
Whether you are automating one workflow or building an AI operating layer across the organization, the first step is the same. Your SaaS stack already contains the intelligence. We build the layer that brings it together.
Talk to an AI and data engineering expert.
Bring your systems list. We will tell you what an AI-ready data layer looks like for your operation, and what it takes to get there.