Our story

The AI development company built from real delivery work

The operating model behind Aixle grew from decades of combined experience in AI systems delivery: building digital products, shipping software for real clients, and solving the problems that show up when AI, people, and process have to work together.

Every tool in the stack came from a real problem. Every tool we built, we built because we needed it. Aixle is what that adds up to.

Chapters

The story behind the operating model

Chapter 01

2018: The Digital Agency

The goal was always the same: outcomes, not outputs. We started Dualboot Partners as a full-service digital product agency: strategy, design, and engineering. The clients were as varied as the industries: healthcare, financial services, manufacturing, consumer and retail, media and entertainment, utilities, and private equity. The work was always the same in structure: understand the problem, build the product, ship it.

Over the years, that grew into 200+ clients and 350+ team members across the US, Latin America, and Eastern Europe. The early lesson: the companies that shipped consistently weren’t the ones with the biggest budgets or the most people. They had a clear goal and a team that could execute without waste between decision and delivery.

That tension, between ambition and execution, became the problem we were actually solving.

200+

Clients

Across every major industry

350+

Team members

US · Latin America · Eastern Europe

3

Regions

One delivery model, three time zones

Chapter 02

2020: The Internal Hack

As the client roster grew, so did our own operational complexity. Matching the right people to the right work across a global team wasn’t something a spreadsheet could solve. So we built Project X: an internal system for tracking and allocating talent and resources across every active engagement.

It was the first tool we built to govern our own operations. And it taught us something that would shape everything that came after: the team that runs well builds better.

“The first tool we built to govern our own work.”

Project X

Chapter 03

2023: The Modernization Era: 3PO

Clients kept arriving with the same problem: legacy systems that couldn’t move fast enough. Decades of business logic locked in C++, VB, RPG, PHP, and proprietary languages. Too expensive to rewrite by hand, too risky to leave in place.

We built 3PO to solve it. An AI-powered code translator that maps legacy code, understands the logic inside it, and migrates it to a modern stack at a fraction of the time and cost of manual migration. Built once, applied across dozens of engagements.

It proved something clear: when you build AI-assisted tooling for production rather than for demos, it actually works. By the time frontier models started catching up, we had already moved on to the next problem.

3PO · Translation pipeline

3PO
01

Map

Scan the legacy estate

C++VBRPGPHP
02

Understand

Extract the business logic

RulesData flowsDeps
03

Translate

Rewrite in a modern language

TypeScriptJavaPython
04

Deploy

Ship it into production

Cloud-nativeCI/CDTests

At a fraction of the time and cost of manual migration.

Chapter 04

2025: The AI Delivery

The pattern across every engagement was the same: teams that shipped faster weren’t bigger. They were better organized. Generative AI didn’t change what we were building. It changed how much of the delivery cycle we could automate. DB90 was the result: AI embedded across the full SDLC, from discovery and planning through build, test, and release, in four structured phases.

The goal was 90% of the code written by AI. We got there. Delivery up to 90% faster. Smaller teams. Less rework. DB90 became our standard: the proof that enterprise AI development comes from structure, not experimentation.

90%

DB90

Delivery cycle

01 · Discover

Research & scoping

02 · Plan

Backlog & architecture

03 · Build & test

90% of code written by AI

04 · Release

Continuous delivery

Chapter 05

2026: AI Operating Model

Project X governed how we ran. 3PO modernized what clients ran on. DB90 accelerated how fast we delivered. Each one solved a real problem. Each one made the next one possible.

One example of where it was all heading: our own sales proposal process. Previously, consolidating client data and producing a proposal required a design team and weeks of work. Today, a series of AI agents ingests calls and documentation and produces a draft in hours. That’s what running an AI operating model on your own operations looks like.

Aixle is the operating model that brings everything together, structured around three stages: Plan, Execute, Evolve. At every step, governance, visibility, and accountability are built in. Workflow is the first commercial offering built on it: we take one of your high-value processes, redesign it for AI-enabled execution, and turn it into a governed system that gets faster, cleaner, and cheaper to run over time.

Along the way, we open-source the core tools that came out of running this ourselves: Aixle Flow and Aixle Insights, deployable inside your own infrastructure or run by us. The Aixle Sprint is how you enter Workflow: five weeks to two implemented workflows in production.

A delivery team that built
the operating model for itself first,
and now runs it for you.

The Journey

2018

The Digital Agency

Dualboot Partners launches. A digital product agency built on outcomes.

2020

The Internal Hack

Project X. Governing talent across a growing global team.

Late 2022

Generative AI

Not a disruption. An accelerant for delivery tooling.

2023

The Automation Era

3PO. A legacy code translator built for production.

2025

The AI Delivery

DB90. AI embedded into the full SDLC, built for speed.

2026

The AI Era

Aixle. One AI operating model, run by the agency behind it.

Ready to see it in practice?

The Aixle Sprint is how you enter Workflow: two implemented workflows in production, a board-ready plan, and a system your team owns, in five weeks.

Start the Sprint