GalantaOS

The operating system for building software that actually ships.

A transparent, menu-driven development framework that replaces vendor guesswork with predictable, visible, monthly progress. It’s the methodology that turned a legacy CRE platform into a launched AI-powered intelligence system in under six months — on time, on budget, with weekly working demos.

The Problem

Most software projects go dark.

Months of waiting

You hand off requirements and hear nothing for weeks. Progress reports replace working software.

Unclear scope

The SOW says one thing. The invoice says another. Nobody can explain where the money went.

Surprise invoices

Change orders, overage charges, and scope renegotiations that turn a fixed bid into an open tab.

Platforms that miss the mark

What ships doesn’t match what was discussed. By the time you see it, the budget is spent.

The Framework

Five pillars. One system for building together.

Fractional Department Model

You don’t hire a vendor. You get a department — software engineering, AI, infrastructure, and strategic availability — under one roof. One relationship, one point of accountability.

Menu-Based Scope

Every engagement is organized into Initiatives, each with a menu of sized Efforts. You see the full inventory of what can be built. Priorities are set collaboratively every month. Menus aren’t exhaustive — new efforts can be added at any priority-setting call.

S/M/L/XL Sizing

Every effort is assigned a standard size. A Large always means approximately three weeks of focused development, whether it’s AI model training or a new user interface. Simple and predictable.

Monthly Rhythm

Each month: a priority call to pick what to build, weekly check-ins with working demos, and built-in flexibility when priorities shift. You see progress in real time, not a status report at the end of the month.

Two-Bucket Allocation

Every month, the retainer funds two parallel tracks: Platform Operations keeps the foundation healthy — AI training, infrastructure, stability, and support. Feature Capacity is where new value gets built — new features and AI automations drawn from the menus.

Sizing

A Large always means the same thing.

SizeEffortFeature Capacity
S~1 week25% of monthly capacity
M~2 weeks50% of monthly capacity
L~3 weeks75% of monthly capacity
XL~4 weeks100% of monthly capacity

These are planning sizes, not rigid invoices. The sizing gives you enough precision to compare efforts and set priorities without creating the overhead of fixed-price SOWs.

Monthly Allocation

Two tracks running every month.

Platform Operations

  • • AI model training and tuning
  • • Infrastructure and performance
  • • Platform stability and bug fixes
  • • Direct support for your team
  • • Cloud infrastructure

Feature Capacity

  • • New features and major enhancements
  • • AI-powered automations
  • • Drawn from the menus each month

Platform operations keeps the foundation healthy. Feature capacity is where new value gets built. Both run every month.

Accountability

A six-month checkpoint built into every engagement.

At the end of month six, we evaluate together:

1

Did the deliverables land? Is the platform doing what it was supposed to do?

2

Is the ROI there? Can you point to specific costs reduced or capabilities gained?

3

Does the model work? Is the monthly rhythm right? Is the capacity allocation effective?

Based on the answers, we decide together what the next phase looks like — same pace, different mix, or expanded scope.

Why six months: That’s the minimum needed to ship the core system end-to-end, stabilize it, and begin the next wave of development. Anything shorter means stopping mid-build.

Proof

We didn’t just talk about it. We built it.

8,770

Records Cleaned

2,675+

Issues Auto-Corrected

4

AI Systems Built

1

Week to First Prototype

Retail Insite — a leading San Diego commercial real estate brokerage — needed to replace a legacy system that was holding back their team. Galanta embedded as their fractional software and AI department and delivered a fully launched, AI-powered intelligence platform in under six months. On time. On budget. With weekly working demos the entire way.

SpreadsheetsCRMLegacy DBData EnginePlatformMap ViewData TableAI AgentsExports
It’s been a week. You already have a whole wireframe. That’s impressive.
KD

Karolyn Dale

Director of Operations

Our competitor’s platform? It’s nowhere close to what we have… maybe 20% of what we built.
DM

Don Moser

Principal

Getting Started

Two ways to structure the work.

Standard — 6 Months

Move fast. Higher monthly intensity, focused on shipping the core system end-to-end. Best for teams with a clear first initiative and urgency to launch.

  • Higher monthly intensity
  • Core system ships faster
  • Built-in six-month checkpoint

Extended — 12 Months

Spread the investment. Lower monthly intensity with more total capacity over a longer runway. Best for teams building across multiple initiatives.

  • More total feature capacity
  • Room for iteration and expansion
  • Longer runway, same team

Common Questions

How is this different from hiring an agency?

Agencies run their own process. You get a deliverable at the end — maybe. Galanta embeds as your department. Same tools, same meetings, same Slack channels. Weekly working demos, not quarterly check-ins. One relationship, not a rotating cast of junior developers.

What if my priorities change?

They will. The capacity is yours — you choose how to spend it. Priorities are set collaboratively each month. If something urgent comes up mid-month, we adjust. The system is designed for it.

What happens after six months?

We evaluate together. Did the work land? Is the ROI there? Based on the answers, we decide what the next phase looks like — same pace, different mix, or expanded scope. There’s no lock-in, no penalty for changing direction.

Do I own the code?

Yes. Everything we build is yours — source code, infrastructure, documentation. No vendor lock-in, no proprietary frameworks. If you ever bring development in-house, you can pick up exactly where we left off.

Let’s build something together.

Every engagement starts with a conversation about your data, your workflow, and where the biggest pain is. No pitches. No generic proposals.

Or email austin@galanta.co directly. I read everything.