Data Intelligence
Advanced analytics, semantic search and predictive insight.
Your data becomes an asset the day it can answer questions. We build the layer that makes that possible: clean pipelines into PostgreSQL, vector embeddings for semantic search, RAG systems for knowledge access, and dashboards that measure what matters.
The problem
The knowledge your company runs on is scattered across PDFs, inboxes and tools that don't talk to each other. Finding an answer means knowing who to ask — and hoping they're not on holiday.
Without telemetry you steer blind: no conversion tracking, no alert when a funnel breaks, no proof of what works. Decisions default to the loudest opinion in the room.
Our method
Single source of truth
PostgreSQL as the backbone: ingestion pipelines, validation at the gate, and one schema your whole stack agrees on.
Semantic layer
pgvector embeddings over your documents and catalog: search by meaning, not keywords — the foundation for RAG and AI search.
Knowledge access
Retrieval-augmented systems that answer from your data with citations — for your team, your customers or your agents.
Measurement loop
Dashboards and alerts on the metrics that drive decisions. What isn't measured isn't improved; what regresses pages someone.
Measured results
- 1000+
- Articles indexed and semantically searchable
- < 50 ms
- Vector search latency in production
- 100 %
- Sources cited in every RAG answer
Stack
- PostgreSQL
- pgvector
- Redis
- Drizzle
- Python
- Claude
Frequently asked questions
What is semantic search, concretely?+
Search by meaning instead of exact words: a query for « heating subsidies » finds a document titled « grant schemes for boiler replacement ». We embed your content as vectors in pgvector and rank by similarity — the same foundation that powers RAG assistants.
Do we need a data team to maintain this?+
No. The pipelines are automated and monitored, the schema is documented, and the stack is standard PostgreSQL — any developer can operate it. We hand over runbooks, not dependencies.
Where does our data live?+
On your infrastructure. PostgreSQL and Redis run on your servers, embeddings are computed with keys you own, and nothing is locked into a proprietary platform.