Data Infrastructure
One place your data actually lives.
For operations running on a CRM, an invoicing tool, a project board, and the spreadsheet everyone secretly trusts more than any of them.
Scattered spreadsheets, disconnected SaaS tools, and copy-paste between systems quietly cap everything AI can do for you. We handle the data integration — standing up a real layer, usually Postgres — that unifies your operation into one AI-ready source of truth.
The problem
Most operations don't have a data problem. They have a copies problem.
The same customer lives in four systems, none of them the true one. Every report starts with someone reconciling them by hand — and every “quick question” in Slack is really someone asking which copy to trust. You can't orchestrate agents or trust a dashboard on top of that. The backend has to come first.
What this looks like
Unify the sprawl
We map where your data actually lives, then consolidate it into a well-modeled Postgres backend — the single layer your tools, agents, and reports all read from and write to.
Output
- Data audit + schema design
- Consolidated Postgres backend
- Migrations off legacy spreadsheets/tools
Keep it in sync
Your existing tools don't disappear — they become projections of the backbone. We wire sync so a change in one place is the change everywhere, with the database as the contract.
Output
- Two-way sync with the tools you keep
- The database as the system of record
- No more reconciling copies by hand
Built for what comes next
The same layer that cleans up today's reporting is the foundation multi-agent systems run on tomorrow. We design it so retrieval, embeddings, and agent access are first-class from day one.
Output
- Vector/RAG-ready where you need it
- Clean access for agents & services
- Live dashboards straight off the source
Let's figure out where this fits your operation.
Most engagements start with a paid discovery — a clear map before anyone commits to a build.