Software Development Services

What We Build
And How We Build It

Four service lines. One operating standard: complete documentation your team owns, AI-augmented delivery with senior engineer accountability, and a post-launch SLA that defines exactly what we’re responsible for.

What We Build

Four Service Lines. One Engineering Standard.

Every engagement, regardless of service line, includes the same documentation standard, the same SLA commitment, and the same senior engineer accountability.

01

Legacy System Modernization

Your current system was built to solve a problem that existed five years ago. Today it's blocking every new initiative, AI integrations, compliance requirements, product roadmap changes, or just the ability to hire engineers who want to work with modern tools.

We assess what can be migrated, what needs to be rebuilt, and what's worth keeping. You get a system your team understands, your engineers can maintain, and your business can grow on.

Talk to us about your system
02

AI-Ready Infrastructure

Running meaningful AI-generative workflows, agentic automations, LLM integrations requires clean data, modern architecture, and systems that weren't designed to be siloed. Most companies discover this the first time they try to build something with AI and hit a wall.

We make your infrastructure AI-capable before you need it to be. The companies doing this now are the ones who'll have a structural advantage in three years.

What AI-ready actually requires
03

Team Extension & Staff Augmentation

Senior engineers, embedded in your team. Not a managed service you hand work to engineers who work in your codebase, attend your standups, and are accountable to your product manager.

We staff with engineers who can make architectural decisions, not just execute tickets. And because we're a long-term partner rather than a staffing agency, you get continuity. The same engineers, project after project.

How team extension works
04

Long-Term Engineering Partnership

For companies that don't want to manage a vendor relationship, we offer a different model: an embedded engineering team with quarterly planning alignment, defined escalation paths, and an SLA that evolves as your product does.

Your product changes. Your team grows or contracts. Your technology shifts. We adapt with it accountable at every stage, not just at launch.

What a partnership engagement looks like
Three Things We Do Differently

What Makes This Different

AI That Moves Fast With Engineers Who Stay Accountable

We use Claude Code and Model Context Protocol integrations across our full development process. Mechanical work moves at AI speed. Architectural decisions stay with senior engineers who review and own every output before it ships.

You get faster delivery without the governance gap most AI-heavy teams create. Every AI-generated output is documented to the same standard as hand-written code your team can maintain it without us.

Complete Documentation. Yours From Day One.

Every engagement produces a complete documentation package: architecture diagrams, technical decision logs, codebase walkthroughs, deployment runbooks, and onboarding guides produced continuously throughout the project, not assembled in the last sprint.

The standard we build to: if you needed to hire a new engineering team tomorrow and have them productive in two weeks, you could.

A Post-Launch SLA

Most vendors define "ongoing support" as availability. We define it as accountability. Every engagement includes a structured post-launch partnership with defined response times, scope commitments, and escalation paths.

You know what we're responsible for, for how long, and what happens if we fall short. That's not a retention strategy. It's the standard we hold ourselves to because we built the system.

Who We Work With

We're the Right Fit for Some Companies

We work best with companies that have been burned before — the vendor who built something nobody else can read, the project that shipped without documentation, the engagement where the real cost showed up three months after go-live.

You're probably a good fit if:

You're responsible for a system that's blocking your roadmap and you need engineers who can diagnose it — not just write tickets against it
You need to be AI-ready and you're not sure what that actually requires from your current architecture
You want engineers who act like employees: accountable, continuous, architectural; without the cost and timeline of full-time hiring
You've had a vendor disappear after launch and you won't let it happen again
You care about documentation because you've paid the cost of not having it

What you should expect from us:

A discovery call that tells you something useful, even if we're not the right fit
A clear scope, defined deliverables, and a post-launch SLA in writing before we start
The same engineers on your project throughout; our team retention is high and we don't rotate people to manage margins
Complete documentation produced throughout the engagement, not assembled at the end
10+
years with UCLA
David Geffen
6+
years with Townsend
& TSB
2019
US-incorporated
LATAM delivery
Start Here

Thirty Minutes.
You'll Know If We're the Right Fit.

Describe what you're dealing with the system, the team, the history. We'll tell you whether we're the right fit and what we'd do first. No sales deck, no pressure.

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