Enterprise SaaS Platform
A full-stack operating system for a data-intensive business — built from the data pipeline through the client-facing surface.
The business ran on 10 to 15 disconnected tools. Data was re-keyed between systems, every report was a manual export, and no one trusted the numbers because no two sources agreed. Growth was capped not by the market but by operational drag.
Map before building
We started with a two-week audit: every data source, every workflow, every decision the team made on a recurring basis. The output was a single architecture document with explicit tradeoffs, not a wishlist.
One pipeline, one source of truth
We consolidated the inputs into a single ingestion pipeline with validation at every boundary. Records are deduplicated, matched, and scored once — then every module reads from the same model.
Modular surface
Nineteen modules share the data layer but ship independently. Internal tools, analytics, and the consumer-facing surface are separate apps over a common API, so each can evolve without breaking the others.
One pipeline. One source of truth. Modules over a shared core.
The platform replaced the tool sprawl with one system the team actually trusts. Reports that took a day are now live views. The data pipeline runs unattended, and the architecture has room for the next nineteen modules without a rewrite.
Have a system like this to build?
We take on a limited number of engagements to keep depth over breadth.
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