Expertise / Data & Infrastructure

We structure data like we want to build on top of it.

Because we do. The data layer has to hold up for the agents, apps, and automation you're building.

01 / The Shift

Data work changed when AI showed up.

/01

For most of the last decade, data work meant building toward dashboards. Clean inputs, governed access, a single source of truth, a few well-designed reports for leadership. The bar held for years.

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Then AI arrived as a first-class consumer of the data layer. Vector databases sitting next to relational ones. Embedding pipelines running alongside ETL. Schemas that have to support retrieval, not just queries. Dashboards still matter. They're just no longer the only thing the foundation has to feed.

We build for both.

02 / What We Build

Six capabilities. One foundation that holds them up.

/01Data ArchitectureThe design layer: how your data is structured, where it lives, and how it flows between systems. Relational, NoSQL, vector, or all three. Most engagements start here, because the architecture decides what everything else is capable of.
/02Data Migration & ConsolidationMoving data between platforms, or pulling a dozen systems into one. Done with a plan, not a script that breaks at scale, and with the downstream consumers in mind.
/03Data Warehouses & LakesStructured storage built for the volume your business actually moves: schema design, partitioning, query patterns, and the operational layer that keeps it fast and cheap as you grow.
/04Vector Databases & RetrievalThe data layer for AI: embedding pipelines, retrieval-ready schemas, and hybrid search across vector and relational stores, so your agents actually find the right context.
/05Cloud InfrastructureThe platform underneath the data. Fluent across Supabase, AWS, GCP, and Firebase. Agnostic on the platform, opinionated on what fits your team and budget.
/06Data Governance & SecurityRow-level security, access controls, PII handling, and audit trails. We secure the data layer itself, not just the perimeter around it.
03 / How We Build

How we build the foundation.

01

Audit

We dig into what you actually have: where the data lives, how it flows, where the contradictions are.

02

Architect

We diagram the data layer before we build it: where data lives, how systems connect, how access is governed, and how the structure supports what comes next. Relational, vector, or both, on the platforms you already run.

03

Build

We migrate, wire pipelines, set up monitoring, and document the work. From there your team takes over, or we stay on to operate it. Both paths work; the foundation is the same.

/ Start

Let's get the foundation right.

Book a discovery call. We'll get into your data, where it's headed, and what it needs to support, whether that's a focused project or an ongoing retainer.

A free 30-minute call. You'll leave with a clear next step.