Senior engineering capacity is scarce
The roadmap waits on the few engineers who know the product and the system.
Mexico AI Services
Technology by
Nearshore AI Pods in Mexico
Nearshore engineering capacity,powered by AI agents.
Forward-deployed engineers and AI agents, delivered from Mexico. They work in hours that overlap with your team, inside your tools, and a short flight from major US hubs.
Technology by
01 / When it fits
More to build than people
who can build it.
Nearshore works when you need real engineering capacity without the delay and distance that slow decisions.
Distance turns questions into delays
When teams are many hours apart, a quick clarification can take a full day.
AI tools alone do not ship software
Assistants without process, review, and ownership produce uneven output that is hard to trust in production.
Hiring takes longer than the backlog allows
You need a way to add capacity on one bounded piece of work before committing to a larger investment.
02 / What a Nearshore AI Pod includes
A human layer and an agentic layer,
working as one team.
The Pod is configured around one measurable objective and works inside your repositories, tools, and review process.
Forward-deployed engineers
Engineers embedded in your workflows who own context, direction, and review, and who work the way your team already works.
AI agents that execute
Agents for research, implementation, testing, and documentation that move several workstreams forward in parallel.
Human review gates
People approve what reaches production. Permissions, access, and agent actions are scoped to the engagement.
Your tools and standards
The Pod works in your repositories, issue tracker, and release process instead of asking you to adopt a new stack.
See scope and pricingDocumentation and handover
Decisions, architecture notes, and tests are documented so knowledge stays with your team.
A bounded first task
You start with one well-defined piece of work and a written scope, not an open-ended commitment.
See the AI Iteration Lab03 / Why Mexico
Close in the ways
that matter for delivery.
Nearshore is about working together, not just about location. These are the reasons teams choose Mexico.
Cost advantage
A nearshore cost base for senior engineering capacity. We compare it against your real alternative during discovery instead of assuming a number.
Overlapping work hours
Mexico City stays on UTC−6 all year. Depending on your US time zone and the season, a 9:00–18:00 workday overlaps by roughly 7 to 9 hours.
Working-style fit
Real-time collaboration, direct communication, and delivery in English and Spanish using the tools and rituals your team already has.
Short flights to major US hubs
On-site workshops, planning sessions, and quarterly reviews are practical when the team is a short flight away.
04 / How to start
Begin with one bounded task.
Decide with real results.
The first step is intentionally small, with a written scope and a clear review point.
Choose the task
We pick one bounded piece of work with a clear outcome and agree the scope in writing.
Set up access
We agree the repositories, tools, permissions, and review rules the Pod will use.
Run the 2-week trial
The Pod works on the task at no cost. If you do not continue after the two weeks, you owe nothing.
Review and decide
We review what was delivered together and decide whether to continue, expand, or stop.
05 / Boundaries
A Pod extends your team.
It does not replace its judgment.
AI agents accelerate research, implementation, testing, and documentation. Product direction, architecture decisions, security review, and production approval stay with people.
The agreed scope is delivered within the one-month window. If it is not, we keep working at no additional cost until it is completed. Terms apply.
- +Your engineers keep product direction and standards
- +Agent permissions and access are scoped to the engagement
- +People review and approve what reaches production
- +The trial covers one bounded task with a written scope
- +No outcome is promised beyond the agreed scope
06 / Frequently asked questions
Questions before
you go nearshore.
01What is a Forward Deployed Engineer?+
An engineer embedded in your workflows who owns context, direction, and review for the work. Instead of handing off a specification, the engineer works alongside your team inside your tools.
02How is nearshore different from offshore?+
Nearshore teams work in hours that overlap with yours and are a short flight away, which makes collaboration, meetings, and decisions faster than with a team many time zones apart.
03Which time zones do you overlap with?+
Mexico City stays on UTC−6 all year. For a 9:00–18:00 workday the overlap is roughly 7 to 9 hours depending on your US zone and the season, as shown on the map. Sonora, Quintana Roo, Baja California, and some northern border municipalities use other offsets or follow US daylight saving time.
04Can the Pod work inside our repositories and processes?+
Yes. The Pod works in your repositories, issue tracker, and release process, and follows your engineering standards. Access and permissions are agreed and scoped before work begins.
05How do you protect our code and data?+
Access is limited to what the engagement needs, agent permissions are scoped, and people review what reaches production. Specific security requirements are agreed in writing before work starts.
06Can we meet on-site?+
Yes. Short flights to major US hubs make workshops, planning sessions, and reviews in person practical when they add value.
07How does the 2-week trial work?+
We choose one bounded task and agree the scope in writing. The Pod works on it for two weeks at no cost, and if you do not continue you owe nothing. Terms apply.
08Does the Pod replace our engineering team?+
No. A Pod adds capacity and speed to a defined objective while your team keeps product direction, standards, and final approval.
07 / Start small
Pick one bounded task.
Start a 2-week trial.
Bring one piece of work to a discovery session and we will define a written scope and the right Pod for it.