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Software Engineering

Applied AI · Cloud · Data

Software that thinks, scales and pays for itself.

We're the nearshore engineering team that designs, builds and runs systems with AI at the core. Prototype to production — in your time zone, on your cloud, with your data.

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  • Nearshore in Mexico
  • AWS-native
  • Agentic AI in production
24/7
Our own platform in production
GDL
Same time zone as the US
AWS
Infrastructure as code

What we work with every day

  • AWS
  • Python
  • TypeScript
  • React
  • FastAPI
  • Terraform
  • Docker
  • PostgreSQL
  • MongoDB
  • Kubernetes
  • LLMs
  • RAG
  • MCP
  • Stripe
  • GitHub Actions
  • Kafka
  • OpenSearch

Services

Four practices, one team

We don't sell loose hours. We deliver whole capabilities: the system, the cloud it runs on, the data feeding it and the AI that makes it smarter.

AI enablement

AI isn't a permanent pilot

Most companies have already tried a chatbot. The hard part is what comes next: putting AI into a process that actually runs, measuring it, and trusting it. That's where we come in.

  • 01

    Assessment and roadmap

    We map your processes, find where AI pays for itself, and prioritize by return rather than by hype. You leave with a 90-day plan.

  • 02

    Agents that execute

    Agents wired into your systems through MCP and APIs that quote, classify, reconcile and respond — with a human in the loop where it matters.

  • 03

    Knowledge you can act on

    RAG over contracts, manuals, tickets and case files. Answers that cite their source instead of hallucinating in a confident tone.

  • 04

    Trust you can measure

    Eval suites, traces, spend limits and content guardrails. If you can't measure it, it doesn't go to production.

Capabilities

  • LLMs and reasoning models
  • RAG architectures and vector stores
  • Model Context Protocol (MCP)
  • Fine-tuning and distillation
  • Evals, tracing and guardrails
  • Computer vision and OCR
  • Document automation
  • Speech-to-text and voice

How we work

Short, measurable, no surprises

A four-step loop we repeat until the system runs on its own.

  1. 01

    Discovery

    One to two weeks to understand the process, the data and the real constraints. You end up with scope, risks and an estimate you can actually budget against.

  2. 02

    Proof of value

    Four to six weeks to a working deliverable in your environment, against success metrics agreed before the first line of code.

  3. 03

    Production

    Hardening, security, tests, IaC and continuous delivery. Nothing ships without monitoring and a rollback path.

  4. 04

    Run and evolve

    Support, SLOs and continuous improvement — or a full handover to your team, with documentation and transfer sessions.

Why us

We operate what we build

We don't only advise. We keep our own platforms running in production every day: recurring billing, customer onboarding, authentication and a user portal. We designed them, wrote them and operate them ourselves.

  • Real production

    Our own platform

    Customer onboarding, recurring billing and a user portal running on AWS, with no third-party team.

  • Serious cloud

    Multi-region AWS

    CloudFront, ECS/ECR, Cognito, SES and OIDC deploys — no static keys floating around.

  • Continuous delivery

    Deploy on commit

    Pipelines with tests, scanning and automatic rollback. Shipping stopped being an event.

  • Nearshore

    Guadalajara, MX

    Same time zone as the US, bilingual engineers, and billing in pesos or dollars.

Want the technical detail on a specific case? We'll walk you through it on the call.

Stack

Tools we picked on purpose

Boring technology where boring is right, modern where it wins.

  • Languages

    • Python
    • TypeScript
    • Go
    • C#/.NET
    • SQL

  • Frontend

    • React
    • Next.js
    • Vite
    • Tailwind
    • React Native

  • Backend

    • FastAPI
    • Node.js
    • gRPC
    • REST/OpenAPI
    • Event-driven

  • Cloud

    • AWS
    • Terraform
    • Docker
    • Kubernetes
    • Serverless

  • Data

    • PostgreSQL
    • MongoDB
    • Redis
    • Kafka
    • OpenSearch

  • AI

    • Claude
    • OpenAI
    • Bedrock
    • LangGraph
    • pgvector

FAQ

What people ask before signing

Do you work per project or as a dedicated team?

Both. Fixed project when scope is clear and there's a date; dedicated team when the product will keep evolving for months. We settle it during discovery and you can change it later.

How fast can you start?

Discovery usually starts within one to two weeks. A full team, two to four, depending on the profiles.

Who owns the code and the IP?

You do, from the first commit. We work in your repositories and your cloud accounts whenever possible, and we're happy to sign an NDA.

What if my data is sensitive?

We design so data never leaves your perimeter: models inside your own AWS account through Bedrock, per-tenant isolation, encryption in transit and at rest, and access logs. Nothing gets sent to third-party services unless you decide it does.

Do you invoice in Mexico or in dollars?

Either. Mexican invoicing with CFDI, or a USD contract for clients abroad.

Do you support what you deliver?

Yes. You can contract ongoing operation with SLOs and on-call, or we do a full handover with documentation and training.

Tell us what you want to build

Thirty minutes, no slide deck. We leave the call with a clear read on scope and on whether we're the right team.

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