AI-native delivery · 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+Clients

23 years of shipping for

Lone Wolf

Lone Wolf

SaaS Insurance Finance Healthcare Hospitality Retail & e-commerce Marketing

The offering

AI-native software 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 management

agent

Observability, KPIs, cost and runtime control across the whole pipeline.

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

Context Engineer

human

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

Agent Orchestrator Engineer

human

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

Release Engineer

human

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

agentSpec
agentPlan
agentImplement
agentReview & Verify
agentDeploy

iterate until green

learn, re-plan

Security Engineer

human

Threat review and compliance from spec to release.

Every cycle ships

POCsDocumentationCodeEnvironmentsMetricsMCPDocsUnit testsQAStagingProduction

The pod in detail

What you can hand us

Pick the scope. The delivery model is the same.

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, Sr. Project Manager — Josh Arceo
15 years here
Sr. Project Manager
AgileScrumAI

Oscar De la Lanza, Sr. Backend Developer — Oscar De la Lanza
3 years here
Sr. Backend Developer
ReactRubyJS

Leo Martinez, Backend Developer — Leo Martinez
5 years here
Backend Developer
.NETJavaAzure

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 four seats

Context EngineerAgent Orchestrator EngineerRelease EngineerSecurity Engineer

For founders and CTOs

Stop recruiting. Hire the team that exists.

A senior U.S. hire costs you three months and a bidding war. Ours are already vetted, already trained, already working agent-first. Next week they are on your roadmap.

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.

Scale both ways

no penalty

Add seats when the roadmap grows. Give them back when it does not.

Priced on outcomes

not hours

You buy shipped software with a named human on every gate, not a timesheet.

Proof

Hear it from the CTOs themselves.

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

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.