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— Artificial intelligence

AI development company in Mexico: applied AI that saves real work

We put AI to work on real processes: reading documents, recognizing photos, writing, classifying and detecting fraud. We have published on it (Springer Nature, 2025), applied it in finance and shipped it in apps people use, such as PDF Master and CalTracker AI.

01 — AI in production

AI that real people already use

PDF Master reads and processes documents; CalTracker AI estimates calories from a photo.

PDF Master
CalTracker AI
02 — What’s included

Where AI actually saves work

01

Document reading

Invoices, contracts, IDs and forms turned into data your system understands, without manual entry.

Built by us: PDF Master
02

Image recognition

Photos of products, inspections or food that get classified and measured automatically.

Built by us: CalTracker AI
03

Assistants and writing

Summaries, replies, notes and drafts in your company's voice, reviewed by a person before they go out.

Built by us: Instanotes AI
04

Fraud and risk detection

Models that flag phishing emails, unusual transactions or risk patterns so your team reviews what matters.

05

Process automation

Workflows that people copy by hand between email, spreadsheets and systems, connected and with AI where it helps.

06

AI inside your app or system

We integrate models from the major providers or models that run on the phone, with keys on the server and per-user limits.

03 — Approach

How we take AI to production

01

Proof of concept first

A scoped test on your real data to measure whether it works before you invest in the full system.

02

Usage costs under control

We work out what each request costs and set per-user limits. Keys live on the server, never in the app.

03

Your data, handled with care

We send only what's needed and, when possible, the AI runs on the device. We have worked with sensitive clinical data on IRISA.

04

Measure accuracy

Before launch we agree on how to measure whether the AI gets it right, and we keep measuring afterwards.

04 — How we work

From the first call to production, and beyond

01

Discovery

We map the problem, the users and your systems. Free.

02

Proposal and design

Scope, timeline and price in writing, with screens before code.

03

Build

Frequent builds you install on your own phone.

04

Launch

Release on the App Store and Google Play, including Apple's review.

05

Support

Monthly maintenance with written response times.

05 — Pricing

Price and timeline in writing, before we start

The first call and the proposal are free. Pick the model that best fits your project.

What drives the price, and outline your project
01

Fixed-scope project

For a new app or an MVP.

  • Scope, timeline and price in writing before we start
  • Screens approved before code
  • Release on the App Store and Google Play
Fixed price after discovery
02

Dedicated team

For a product that evolves every week.

  • Monthly engineering and design capacity
  • Priorities you set every week
  • Frequent builds on your own phone
Fixed monthly rate
03

Maintenance and support

For apps already in the stores.

  • iOS, Android and dependency updates
  • Critical issue: response within 4 business hours
  • Servers, monitoring and reviews
Monthly plan with written response times
  • Contract and NDAWe sign your NDA before you share the details.
  • You own the codeAt handover: repositories, documentation and access.
  • CFDI or USDMexican invoices, or USD by wire or card.
  • 60-day warrantyDefects fixed at no cost after delivery.
  • Procurement-readyTax certificate, compliance opinion, model contract and NDA.
06 — FAQ

What people usually ask

How can my company use AI?

Start with a process that costs hours of manual work today: entering documents, sorting requests, answering common questions or reviewing photos. In the free first call we look at where AI saves work and where it isn't worth it.

Is my data used to train models?

We set up AI so your data isn't used for training: through services whose terms exclude it, or with models on your own server or on the phone.

Do I need a lot of data to start?

Not always. With current models, many use cases work from examples and clear rules. The proof of concept confirms it before you invest more.

Can you add AI to my existing app or system?

Yes. We connect AI to what you already have through an API, without rebuilding the system.

How much does an AI project cost?

It depends on the process, the volume and the model. We recommend starting with a fixed-scope proof of concept; the proposal is free and in writing.

What does success look like for your product?

The first call and the proposal are free. The person who will lead your project replies in person.