Healthcare, benefits & payer operations
Connect enrollment, eligibility, claims, patient, provider, and service data into consistent operational reporting—while respecting sensitive information and role-based access needs.
Industries
We work where data meets day-to-day decisions.
Every sector has distinct data definitions, workflows, and controls. We bring a practical engineering lens to operational environments where consistency matters.
Finance, risk & compliance
Improve visibility across finance and operational KPIs, strengthen reconciliations, and support traceable reporting with well-defined business logic.
PEO, payroll, HCM & shared services
Bring Professional Employer Organization (PEO) client, worksite employee, payroll, benefits, eligibility, and service data into coherent operational views. We understand the need to reconcile records across systems while preserving the business rules behind payroll and workforce reporting.
SaaS, software & technology teams
Build dependable analytics foundations for product usage, customer health, support operations, revenue performance, and AI-enabled experiences.
Retail, distribution & supply operations
Bring orders, inventory, customer, and fulfillment data together to improve operational visibility and support consistent planning measures.
Consulting & service organizations
Connect project, resource, financial, and client data to improve utilization, delivery insights, and management reporting.
Specialist domain knowledge
Explore PEO experience ↗PEO and HCM experience beyond the dashboard.
Founder-led experience across PEO and HCM data work includes payroll transactions, benefits and coverage, client and workforce data, data marts, operational integrations, reporting, and production support.
Industry-aware, not industry-locked
Learn your business rules before writing the pipeline.
Data work goes better when engineering starts with the meaning of the data. We collaborate with operational and business stakeholders to understand definitions, exceptions, dependencies, and how a metric will be used.
- Map systems and critical data entities before design.
- Make transformation rules explicit and testable.
- Keep access, privacy, and audit requirements in the design discussion.
- Deliver documentation that helps teams support and extend the solution.
From operational activity to shared insight
Business contextProcesses · terms · rules · controls
↓ MAP & VALIDATE
Reliable data assetsConsistent entities · tests · ownership
↓ MODEL FOR USE
Useful decisionsOperations · finance · service · planning
Your context matters
Let's connect your business questions to the data.
We'll start by understanding the decisions and operational workflows you're trying to improve.