Enterprise Data
Consulting for the AI Age
Oracle ERP / E-Business
Snowflake Cloud
AWS Cloud
OpenAI Enterprise
Leapwork
SAP S/4HANA
Databricks Lakehouse
Microsoft Azure
Python
MongoDB
PostgreSQL / SQL
Google BigQuery
Salesforce Enterprise
PyTorch Models
Apache Spark
Anthropic
n8n
Kubernetes Security
Postman
OktaWe have over 20 years of experience building data and information solutions for enterprises of all sizes. Our team has worked across government, financial services, and enterprise sectors.
A full audit of your Oracle,SAP, and legacy systems.
We review your Oracle, SAP, and other legacy ERP systems along with your data quality and current workflows to see what's working and what needs to change.
What we look at
Data quality
How clean, structured, and consistent the data is across every system.
Integration complexity
How tightly systems are coupled and how much custom code sits on top.
Business risk
What breaks, and who is affected, if this system goes down.
Modernization readiness
How much of the current logic can move to an AI native platform as is.
A clear path from legacysystems to AI native ones.
We map out how to migrate you off legacy infrastructure and onto AI native systems, prioritized by what will move your business forward first.
How the work breaks down
Phase 1
Assess and plan
Audit current systems, define scope, and set priorities.
Phase 2
Build and migrate
Stand up the new platform and move data and workflows across.
Phase 3
Launch and support
Go live, decommission legacy systems, and support your team.
Full migration, deployment,and support after launch.
We migrate your systems, implement the new platform, and train and support your team after launch.
What's included
Full migration
We move your data, workflows, and integrations onto the new platform.
Go live support
Our team is on hand for cutover and the weeks that follow.
Team training
Your team learns the new systems directly from the people who built them.
Ongoing support
Direct access to your project team after launch, not a support queue.