build

Rebuild the data foundation other work depends on.

Data Modernization builds the data layer that AI, reporting, product, and operations need to trust.

Let's build togetherSee the work
Data modernization diagram showing source systems, controls, and downstream decisions
Data work usually starts with a clearer picture of where the data lives and who owns it.

what gets shipped

Good data work makes the next decision easier.

Domain mapping

Name the real business entities, owners, and trust rules before moving data around.

Output: domain model and lineage map.

Pipeline rebuilds

Replace brittle extracts with governed pipelines, observability, and cutover controls.

Output: production pipeline and quality checks.

Analytics foundation

Create the warehouse, marts, and reporting contracts teams can use without reopening every number dispute.

Output: reporting spine your team can inspect.

launches

Related work.

OpenLife Analytics thumbnail showing architecture, data models, integration, and specs
OpenLife AnalyticsSupporting build partnerLife-insurance analytics build planBuild plan - Public repository

An analytics build plan with architecture, data models, integration guidance, and delivery specs in one place.

Data ModernizationFinancial services
Nexus Agents thumbnail showing reusable skills, prompts, agents, and instructions
Nexus AgentsLead build partnerInstallable multi-agent skills packInstallable repository - Public repository

A repeatable setup for shared agent skills across coding agents and repositories.

AI and MLProduct Development
Let's talk

Tell us where the data foundation is blocking the work.

Tell us what you are trying to build, what exists today, and where it is stuck. We will say what we'd tackle first, who should be in the room, and whether we're the right team for it.

Let's build togetherWhat we build