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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