cashcrown // ai.data
a single source of truth.
You need “analytics dashboards”, but building it in-house gets stuck on integrations, maintenance and lack of time — and the result tends to be fragile and hard to scale.
a single source of truth. We deliver it as part of “Data, knowledge & visibility”: a working system with observability, safety gates and documentation. Models are always reached through the router — we mask PII before it leaves for the cloud.
We agree on sources, legality and the target data schema.
Acquisition → normalization → dedup → validation, repeatably.
Embeddings + semantic search; RAG over the results.
Rank tracking in Google and AEO; trends over time.
We work within the law and source terms — public data, respect for robots/ToS, no circumventing protections. We advise on scope before the start.
Answer Engine Optimization — visibility in model answers (e.g. AI assistants), alongside classic SEO in Google.
With our own rank monitoring system (Rank Sentinel) — full history for trend analysis.
Classification and data extraction pay off fastest — invoice coding, ticket categorization, reading fields from documents. The result is measurable by definition and the process usually already exists manually. We start with one such process and confirm the return in the ROI calculator.
Yes — we design compliance in from the start: data minimization, PII masking before the cloud, an audit trail. We scrape within the law and source terms; large-scale profiling adds a data protection impact assessment (DPIA).