RAG development · Mexico
RAG development services in Mexico
Mobile-first products in Spanish or Portuguese, built by senior engineers at cost-effective rates.
Clarigo Infotech builds retrieval-augmented generation (RAG) systems: AI search and assistants that find the right information in your documents, databases and knowledge base, then answer with sources. RAG keeps answers accurate and current without retraining a model, and respects who is allowed to see what.
Mexican companies most often hire us for fintech, e-commerce and logistics platforms, and AI customer service.
10+
Years of delivery
600+
Projects delivered
20+
Countries served
25-30
Days to a live MVP
Get a free consultation
Tell us what you need. A senior engineer replies within one working day.
Growth, mobile-first and cost-effective
Latin American businesses are scaling fast on mobile. We build products in Spanish or Portuguese, with local payments, that grow with you.
Mobile-first
Apps and sites designed for phones first, fast on any connection.
Local payments
Pix, Mercado Pago, OXXO and other local methods integrated alongside cards.
Spanish and Portuguese
Interfaces, content and AI assistants in your customers' language.
Cost-effective scale
Senior engineers at offshore rates, with a flexible shift for a daily live stand-up.
What we build with RAG
Chat with your documents
Ask questions across PDFs, policies, manuals and contracts and get answers with citations.
Enterprise knowledge assistants
One place for staff to find answers across Google Drive, SharePoint, Confluence and more.
Customer support answers
Grounded answers for support teams and chatbots, drawn from your help centre and product data.
Search over structured data
Combine document search with SQL and APIs so answers include live numbers.
Permission-aware retrieval
Users only get answers from content they are allowed to see.
Evaluation and tuning
Test sets that measure retrieval and answer quality, and tuning until they pass.
How we approach RAG development
Why RAG instead of fine-tuning
Fine-tuning changes how a model writes; RAG changes what it knows at the moment it answers. For most business questions RAG is cheaper, easier to update and easier to audit, because every answer points to its source.
Getting retrieval right
Quality depends on how documents are cleaned, split, embedded and searched. We use hybrid search (keyword plus vector), re-ranking and metadata filters, and test retrieval separately from the final answer.
Keeping it current and secure
Connectors keep the index in sync as documents change, and access rules from your source systems are applied at query time so nobody sees what they shouldn't.
Measured, not guessed
We build a test set of real questions with expected answers and track accuracy, citation quality and 'I don't know' rates, so you can see improvement and catch regressions.
Built for Mexican teams
Time-zone overlap
Mexico is eleven and a half hours behind India. We run flexible late shifts for a live daily stand-up in your morning, and the rest of the work moves forward while you sleep, so updates are ready when your day starts.
Mexico's Federal Law on Protection of Personal Data Held by Private Parties
We design to Mexico's private-sector data protection law: privacy notices, consent, security controls and ARCO rights for data subjects, and we sign NDAs before work starts.
Billing
Invoices in Mexican pesos (MXN) or US dollars. Typical senior rates are $25 to $49 (USD) per hour, or a fixed price for a defined scope.
Built for Mexico's key sectors
Mexican companies in fintech, retail and logistics work with us on platforms, apps and AI customer service on WhatsApp and voice, in Spanish and English.
Automotive and nearshoring
Factories serving the US adopt manufacturing software. AI here usually means faster reporting, fewer manual steps and better customer replies.
Fintech
Digital wallets and lenders reach underbanked consumers. We start with one costly process and automate it end to end.
Tourism
Resorts and airlines compete for international bookings. We build AI agents, assistants and automation around these workflows.
Retail and e-commerce
Mobile shoppers expect cash and card options. AI here usually means faster reporting, fewer manual steps and better customer replies.
How the hours line up
Our team's hours, in Mexican time
22:30–08:00
Monday to Friday
Overlap with your working day
Flexible shift
Evening shift for a live stand-up, progress overnight
Daily stand-up
09:30
Mexican time, plus written updates every evening
Built for how Mexico works
Messaging channels
Languages
Local payments
Data hosting
AWS Mexico (Central) and Google Cloud northamerica-south1 (Queretaro), in your own cloud account, so data stays where your rules require.
How it works
Week 1: discovery and design
We agree the use case, success measures and data, and show you a clickable design.
Weeks 2-3: build and integrate
We build, connect it to your systems and data, and demo working software every week.
Week 4: test and launch
We test with real cases, add monitoring and guardrails, then go live.
After launch: improve and scale
The same engineers keep tuning quality, cost and features as usage grows.
See what we've built
Try it yourself, free
Free browser tools from our team. No sign-up needed.
RAG development services: questions from Mexico
Do you work with companies in Mexico?+
Yes. Clarigo Infotech works with companies across Mexico, including Mexico City, Monterrey, Guadalajara, as part of clients in 20+ countries. Mexican companies most often hire us for fintech, e-commerce and logistics platforms, and AI customer service. We work remotely from India with one in-house team.
What time-zone overlap do we get from Mexico?+
Mexico is eleven and a half hours behind India. We run flexible late shifts for a live daily stand-up in your morning, and the rest of the work moves forward while you sleep, so updates are ready when your day starts.
How do you handle Mexico's Federal Law on Protection of Personal Data Held by Private Parties?+
We design to Mexico's private-sector data protection law: privacy notices, consent, security controls and ARCO rights for data subjects, and we sign NDAs before work starts.
Which currency do you bill in, and what does it cost?+
We bill in Mexican pesos (MXN) or US dollars. Senior engineers typically cost $25 to $49 (USD) per hour, and fixed-scope projects such as an MVP in 25 to 30 days are quoted after a free consultation.
Can you build in Spanish (Mexico) and English?+
Yes. We build interfaces and content in Spanish (Mexico) and English, and test them with native speakers before launch.
Where will our data be hosted?+
Usually in AWS Mexico (Central) and Google Cloud northamerica-south1 (Queretaro), or wherever your data rules require. Everything runs in your own cloud account, so you stay in control.
Do you support WhatsApp?+
Yes. Customers in Mexico often prefer WhatsApp and Facebook Messenger and Instagram, so we connect chatbots, notifications and support flows to them.
How is RAG different from a normal chatbot?+
A normal chatbot answers from what the model learned in training. A RAG assistant answers from your current, private information, so it is more accurate for your business and can show its sources.
Which data sources can you connect?+
PDFs and Office files, Google Drive, SharePoint, Confluence, Notion, websites, help centres, databases and APIs. We add connectors so the index stays up to date.
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