Multi-tenant RAG: isolating client data in AI agents
When you build an AI agent for one client, RAG is straightforward: embed their docs, store them, query them. But the…
It answers from this site's own content — the projects, how pricing works, typical timelines — in English or Spanish.
Not buzzwords — the actual architecture decisions behind every build.
A few of the integrations, apps, and systems I've shipped — each one solving a real problem and shipped.
Real constraints, tradeoffs and things that broke — the short version of the work the case studies don't tell.
When you build an AI agent for one client, RAG is straightforward: embed their docs, store them, query them. But the…
Every AI image model I've used mangles text. Quotes, numbers, names — they come out as gibberish far more often than…
A dentist I work with spends half the consultation typing notes into a patient record. The other half, they're…
Every layer of the stack in one set of hands — AI to motion, connected and shipped.
Explore the services →AI that answers from your own documents (RAG), AI agents, chat that knows your business, clinical-note generation — wired into your product, not bolted on. If the model needs your data to be useful, this is the work.
No handoffs, no account managers. You talk to the person writing the code.
Based in Santiago, Dominican Republic. I've shipped 8 projects this year alone — AI integrations, multi-tenant SaaS, mobile apps, and automations. Bilingual EN/ES, and I build for the Dominican market as fluently as the US one.
If you need a smart layer between your data and your users, that's exactly what I build.
More about Pedro →Tell me what you're working on. I'll tell you what I'd build and whether I'm the right person for it.