AI-native development · nearshore since 2003

Software development,well done

An agent fleet ships the work. Senior engineers own every gate. You get the team next week, in your time zone.

Let's talk See how a pod works

23+Years

250+Engineers

150+Historical clients

23 years of shipping for

Lone Wolf

Lone Wolf

SaaS Insurance Finance Healthcare Hospitality Retail & e-commerce Marketing

The offering

AI-Native Development Pod.

One unit of delivery. Agents carry spec, plan, implementation, review and deploy. Senior engineers own the gates, the release and the risk.

Process managementObservability, KPIs, cost and runtime control.Agent

One context store the whole pod works from, so nothing lives in one person's head.

Context EngineerHuman

Turns business context into specs and plans the agents can execute.

Agent Orchestrator EngineerHuman

Runs the agent fleet, splits the work and validates at defined checkpoints.

Release EngineerHuman

Owns quality gates, releases and the promotion path to production.

SpecAgent

PlanAgent

ImplementAgent

Iterate
until green

VerifyAgent

DeployAgent

Learn + re-plan

Security EngineerThreat review and compliance from spec to release.Human

AI/ML, enterprise platforms, mobile, DevOps and MVP work all get delivered the same way. As a pod.

Every cycle ships

POCsDocumentationCodeEnvironmentsMetricsMCPDocsUnit testsQAStagingProduction

The pod in detail

Proof

Hear it from the CTOs themselves.

Unscripted, from their own channel. The people who handed us a roadmap talking about what came back.

Point us at the backlog you already have.

The pod starts on your real roadmap, in your repos, and you can verify what moved in week one. Senior engineers already working agent-first, in your time zone, next week.

Let's talk Team augmentation

Ramp in days

not months

The roster is already hired and trained, so a pod staffs while a recruiter would still be sourcing.

Your working hours

full overlap

USA, Mexico and Colombia. Same-day review cycles, live escalation, no overnight handoff.

Fixed monthly

never hourly

One price per person per month, set before the month starts. A named human on every gate, not a timesheet.

The people

250+ engineers, already hired and trained.

Every gate on the pipeline has a name on it. These are the people you meet on the call, not the ones you get after a hiring cycle.

Careers

Josh Arceo, Context Engineer — Josh Arceo
15 years here
Context Engineer
Spec-driven devAgentic deliveryAgile

Oscar De la Lanza, Agent Orchestrator Engineer — Oscar De la Lanza
3 years here
Agent Orchestrator Engineer
Agent orchestrationRAG pipelinesRuby

Leo Martinez, Agent Orchestrator Engineer — Leo Martinez
5 years here
Agent Orchestrator Engineer
AI code reviewMCP.NET

Pre-hire and vet

Engineers are hired and vetted before a project needs them, so a pod staffs in days instead of a hiring cycle.

Technical training

In-house training on modern stacks, agent tooling and delivery practice, refreshed as the tools move.

Cultural and comms workshops

Built for U.S. work environments: written communication, async habits, direct escalation.

AI-empowered engineers

Every engineer works with agents daily. The pod model is how we productize that, not a pilot.

The stack

We speak your language, agents included.

From .NET to Node and Ruby to React, English included. Model choice is outcome first: Claude, GPT or Gemini, wired to your systems through MCP, with a human on the gate.