AI agents with local LLMs + RAG: your data never leaves your infrastructure
Far beyond the menu chatbot — and with your customers' information under your control. Local model by default; safeguarded API if you don't have infrastructure yet.
We design and deploy conversational AI agents on LLMs with RAG over your knowledge base, guided by one principle: the sovereignty of your data. By default we run open-source models (Llama, Mistral, Qwen) on your own infrastructure or a dedicated private server, so your customers' sensitive information (records, personal data, conversations) never leaves your control — critical when you handle data regulated under Mexico's LFPDPPP. Don't have the infrastructure to run locally yet? There's the alternative with frontier model APIs (Claude, GPT) on enterprise plans with no training on your data, a data-processing agreement (DPA), PII minimization/redaction before every request, and zero retention where the provider approves it — never "we just pass everything to ChatGPT". Connected to your CRM, integrated with official Meta WhatsApp Business API, capable of qualifying leads (BANT/CHAMP) and resolving complex queries 24/7.
* Initial setup from $5,900 MXN, VAT included (includes conversational design, development, integrations). You choose where the model runs: on your own infrastructure or private server (maximum privacy — we size the hardware with you) or via API on enterprise plans that do not train on your data (no infrastructure of your own; zero retention is approved by the provider case by case). Either way, model compute and WhatsApp Business template messages are billed separately at cost — service replies inside the customer service window are free, so you only pay for what your operation actually uses. We handle the WhatsApp Business API setup for you and the line always stays under your name. On-premise deployment and enterprise solutions — custom quote.
Why local LLMs and not just plug your data into an API?
Data sovereignty: with a local model, your customers' sensitive information (records, personal data, conversations) never leaves your infrastructure — it doesn't travel to third-party servers in another country
LFPDPPP compliance: when you handle sensitive personal data, "processed in your own environment" is a far more defensible posture to a client or an audit than "we sent it to an external cloud"
If you lack infrastructure, the API alternative is made genuinely safe: enterprise plans with no training on your data, a signed DPA, PII minimization/redaction, and zero retention where the provider approves it — not "we just pass everything to ChatGPT"
Menu chatbots break as soon as a query falls outside the predefined flow — users get frustrated and abandon; an LLM understands natural language and replies the way people actually write
RAG (Retrieval-Augmented Generation) over your database gives precise answers without making things up (no hallucinations)
Official WhatsApp Business API complies with Meta policies and allows scaling — pirate solutions get you banned
Automated BANT/CHAMP qualification filters junk leads before they reach your sales team
What's included
How we work AI with you
Discovery + data-sensitivity classification and KPIs (deflection rate, leads/mo, etc.)
Architecture decision: local model (on-premise/private server) vs safeguarded API, based on your data and infrastructure
Conversational design + prompt engineering
Deployment setup (provisioning local infrastructure or configuring an enterprise API + DPA)
Thorough edge-case testing
Controlled launch + monitoring of real conversations
Monthly iterative improvement
It depends on your data and your infrastructure. Local (on-premise or private server, with open-source models like Llama, Mistral, or Qwen): data never leaves your environment — it's the default we recommend when you handle sensitive or regulated information. It requires suitable hardware, which we size with you. Safeguarded API (Claude, GPT on an enterprise plan): no infrastructure of your own, faster start, and top-capability models — with no training on your data, a signed DPA, PII minimization, and zero retention where the provider approves it. During discovery we classify how sensitive your data is and recommend the honest route, without selling you hardware you don't need.
30-day satisfaction guarantee
If you don't see value by the end of the first month, I refund my fees for that month, no explanation required. Ad spend paid to the platforms and third-party costs already consumed are excluded, for the obvious reason: that money was never mine.
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Start risk-free
Free audit first. Then you decide.
30 minutes, no commitment. You keep the diagnosis even if we never work together.