Fix the data friction that slows decisions, reporting and AI.
We modernize the pipelines, platforms and analytics your teams
already depend on.
We apply AI where it can remove manual work, improve visibility
and accelerate decisions.
Not a data lab. Enterprise systems doing real work.
Healthcare data
modernization
Informatica + Azure Data Factory + Databricks across core payer/provider data.
Epic financial intelligence
Reporting Workbench, Resolute contract modeling and StrataJazz pathways.
Retail allocation
intelligence
Oracle Retail Allocation enhanced with data-science- driven inventory decisions.
Six disciplines, one connected practice.
Every capability below is scoped to a measurable business outcome, rather than deployed as technology for its own sake.
Enterprise Data Strategy
A clear roadmap for how data becomes a strategic asset — aligned to business priorities, not just IT infrastructure.
Data Modernization
Legacy data environments rebuilt on modern, scalable foundations that are ready for AI.
AI-assisted Data Mapping
Faster, more accurate data mapping and integration using AI to reduce manual effort and error.
Generative AI
Applied generative AI that accelerates content, code and knowledge work — safely and at enterprise scale.
Agentic AI
Autonomous, goal-driven agents that execute multi-step work with human oversight built in.
Intelligent Analytics
Self-service analytics and reporting that put decision-ready insight directly in business users' hands.
Start with the bottleneck—not a technology prescription.
We trace the problem from source systems to decision points, then modernize only what is required to create a reliable path to measurable value.
Find the friction
Data quality, latency, reconciliation, reporting or workflow pain.
Fix the foundation
Integration, ETL, platform, data model and controls.
Activate the use case
Analytics, automation, data science or AI in the workflow.
Operate and improve
Monitoring, support and continuous optimization.
Three solution paths. Each tied to an operating outcome.
Modernize the data
backbone
Stabilize and modernize ETL, integration and cloud data platforms so critical data moves reliably and can be governed.
Delivered with Informatica, Azure Data Factory and Databricks across payer/provider data domains.
Turn data into operational visibility
Build reporting and analytics around the decisions finance, clinical, operations and merchandising teams actually make.
Built Epic Reporting Workbench, Resolute contract models and StrataJazz pathways for stronger financial insight.
Apply intelligence inside the workflow
Use data science, automation and AI to reduce manual work and improve decisions where the business already operates.
Used data science with Oracle Retail Allocation to improve style–color–size distribution and inventory decisions.
Built on 25 years of enterprise data work.
Evolved for the intelligence era.
Frontais grew out of Dotcom Team’s enterprise data integration and migration practice. We didn’t start from zero — we started from production, then layered applied AI on top.
The Dotcom Team Foundation
- Cloud data integration across AWS, Azure, Google Cloud and Snowflake
- ETL services and data warehousing, including Delta Lake and Databricks lakehouse architectures
- Zero-downtime cloud and database migration for regulated industries
The Frontais Evolution
- AI and ML pipelines with production-grade MLOps
- Applied generative and agentic AI layered on governed data
- AI-assisted data quality, mapping and integration at scale
An ecosystem, not a single stack.
We work across the major clouds and data platforms — matching the right technology to the problem, not the other way around.
- AWS
- Microsoft Azure
- Google Cloud
- Snowflake
- Databricks
- Delta Lake
- Informatica
- Azure Data Factory
- dbt
- Apache Spark
Data modernization for a leading U.S. healthcare provider.
We rebuilt fragmented ETL pipelines across payer and provider systems for a major U.S. healthcare provider — modernizing legacy Informatica PowerCenter workflows onto Informatica, Azure Data Factory and Databricks, and standardizing pipelines across claims, membership, billing, HEDIS and financial reporting.
Faster ETL Processing
Modernized pipelines cut processing time and reduced failures across claims and billing data.
Audit-Ready Reporting
Standardized, governed pipelines improved reliability for regulatory and financial reporting.
Stronger Financial Insight
Integrated Epic Reporting Workbench and StrataJazz integration sharpened financial visibility.
Where could better data and AI move your business forward?
Talk to our team about your data and AI priorities.
Talk to Frontais