Core service · public pricingFrom $420 USD/mo

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 zero retention and no training on your data, a data-processing agreement (DPA), and PII minimization/redaction before every request — 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 $1,200 USD (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 zero-retention, no-training plans (no infrastructure of your own). Either way, model compute and WhatsApp Business conversations are billed separately at cost — 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.

01Why it matters

Why local LLMs and not just plug your data into an API?

01

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

02

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"

03

If you lack infrastructure, the API alternative is made genuinely safe: enterprise plans with zero retention, no training on your data, a signed DPA, and PII minimization/redaction — not "we just pass everything to ChatGPT"

04

Menu chatbots lose 70-80% of queries outside the predefined flow — users get frustrated and abandon; an LLM understands natural language and replies the way people speak

05

RAG (Retrieval-Augmented Generation) over your database gives precise answers without making things up (no hallucinations)

06

Official WhatsApp Business API complies with Meta policies and allows scaling — pirate solutions get you banned

07

Automated BANT/CHAMP qualification filters junk leads before they reach your sales team

02What's included

What's included

+Data-sensitivity and infrastructure assessment to choose the right deployment (local vs safeguarded API)
+On-premise / private-server deployment with open-source models (Llama, Mistral, Qwen) — data never leaves your environment
+API alternative with frontier models (Claude, GPT) on a zero-retention plan + DPA + PII minimization, if you lack infrastructure
+Conversational design (intents, flows, fallbacks) + controlled prompt engineering
+Integration with your knowledge base (RAG)
+CRM connection (HubSpot, Salesforce, Pipedrive, etc.)
+Multi-channel deployment (WhatsApp Business API, web, Telegram)
+Automatic BANT/CHAMP lead qualification
+Human handoff with context preserved
+Conversation analytics (in your own environment when deployment is local)
+Monthly maintenance and iterative tuning
03How we work

How we work AI with you

01

Discovery + data-sensitivity classification and KPIs (deflection rate, leads/mo, etc.)

02

Architecture decision: local model (on-premise/private server) vs safeguarded API, based on your data and infrastructure

03

Conversational design + prompt engineering

04

Deployment setup (provisioning local infrastructure or configuring a zero-retention API + DPA)

05

Thorough edge-case testing

06

Controlled launch + monitoring of real conversations

07

Monthly iterative improvement

04KPIs we report every month
Sensitive data leaving your infrastructure (target: zero with local deployment)Deflection rate (queries resolved without human)Leads captured via botLead qualification rateAverage response timeConversation CSATCost per resolved query
05Frequently asked questions

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 zero retention, no training on your data, a signed DPA, and PII minimization. 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 in the first month, we refund your initial investment. No questions asked.

Start risk-free

Free audit first. Then you decide.

30 minutes, no commitment. You keep the diagnosis even if we never work together.