Before any AI initiative can succeed, the data beneath it has to be right. Systech builds that foundation — migrated, governed, observed, and trusted — faster and at lower risk than any traditional path.
Not because of the AI. Because of the data underneath it. Here's what we see in almost every enterprise we work with.
Your LLMs, agents, and analytics are only as good as the data they consume. Legacy warehouses, siloed databases, and broken pipelines mean AI projects stall at proof of concept and never reach production. The foundation is missing.
Downstream dashboards lie. Reports are stale. Business decisions get made on bad data before anyone notices. Manual pipelines create compounding invisible risk — and when they fail at scale, the cost is enormous.
Finance has one number. Operations has another. Every team has their own version of the data. Without governed master data and clear ownership, your data estate becomes a liability — and no AI system can be trusted on top of it.
Six tightly integrated capabilities that build, govern, and sustain an AI-ready data foundation — from first migration to continuous observability.
Move legacy databases, warehouses, and pipelines to Databricks, Snowflake, or Azure — with zero data loss, full auditability, and governance built in from day one.
Build and automate production-grade data pipelines that are governed, documented, and maintainable — without tribal knowledge or manual intervention at scale.
Establish a single, trusted version of your critical business entities — customers, products, suppliers, locations — using Profisee on your platform of choice.
Define ownership, enforce data standards, and make quality a built-in property of every pipeline — not something you bolt on after a business incident.
Know when something breaks before the business does. Monitor pipelines, detect anomalies, track lineage, and maintain continuous trust in your data estate.
An end-to-end analytics and ML platform that covers the full data lifecycle — from preparation and modeling to deployment and management — built on the cloud provider of your choice.
Proprietary software built specifically for data foundation engagements — not generic tooling, not partner-licensed accelerators. Ours.
Agentic database migration engine that automates legacy-to-cloud transformation with 100% accuracy. Converts schemas, stored procedures, ETL pipelines, and SQL — across Databricks, Snowflake, Azure Synapse, and more.
Agentic data pipeline engineering tool that auto-generates, tests, documents, and governs pipelines. Built inside WizarD™ — compressing 6-month pipeline builds into weeks with governance by design.
End-to-end data management, analytics, and machine learning platform. Covers the full lifecycle — prepare, model, deploy, and manage Analytics and AI — built on the cloud provider of your choice: AWS, Azure, or Databricks.
This isn't a consulting project — it's a product with guaranteed deliverables. We accept a limited number of these engagements because we guarantee the outcome. At the end of four weeks, you don't get a slideshow. You get a validated, working Data Mart in your environment.
Available for Databricks, Snowflake, Azure, Tableau Next, DBT, and Coalesce. Limited slots — we qualify each engagement to ensure we can guarantee results.
DBShift™ and aiDE™ are platform-native — we don't force a migration path. We work on whichever platform is right for your organization.
DBShift™ to Lakebase · Unity Catalog governance · Brickbuilder certified
DBShift™ to Snowflake · Cortex AI ready · Select Services Partner
Azure Synapse · Microsoft Fabric · Purview governance · Fabric Featured Partner
AWS data foundations · Glue · Redshift · Advanced Consulting Partner
Real engagements, real results — from insurance and financial services to manufacturing and UAE enterprise modernization.
A major insurance and financial services provider eliminated manual migration risk entirely. DBShift™ automated schema conversion, ETL migration, and stored procedure translation — delivering a governed Snowflake environment in a fraction of the time.
After migrating to Databricks, a leading manufacturer needed to optimize storage management and query performance at scale. Systech's data engineering team delivered measurable improvements across the entire data infrastructure.
A major UAE financial services provider specializing in money transfer, currency exchange, and payroll modernized its transaction systems — achieving real-time data synchronization with zero disruption to live operations.
DBShift™ automated the full migration of legacy data workloads to Databricks — schema conversion, stored procedure translation, and ETL pipeline migration — delivering a governed, production-ready Lakehouse environment at a fraction of the manual effort and timeline.
Systech's data architects will map your estate, identify what's blocking your AI initiatives, and deliver a clear roadmap — in four weeks, at no cost.