52% → 85%
capacity used per truck
Grupo Entre Ríos
Agribusiness · GuatemalaAn AI model plans weekly raw-material pickup based on production, weather and demand. We also built their intake, budgeting and maintenance systems.
AI-Native Software Engineering
Asking AI is easy.Knowing what to ask isn’t.
We build, rescue and evolve software by combining engineering judgment, artificial intelligence and more than a decade of taking real systems to production.
Since 2015 · 400+ projects · 60+ clients · 10 countries
Companies and organizations that have trusted us for years.
See all cases
The problem
Building got easy. Making it work didn’t.
Today, one person can turn an idea into code in a matter of days.
That doesn’t remove the hard decisions. It moves them.
Architecture, security, data, integration, maintainability and operations still decide whether an application becomes a product — or technical debt.
Where are you today?
Rescue
Your application works. The question is whether it’s ready to grow.
In five business days, the Production Readiness Assessment reviews architecture, security, code quality, data, infrastructure and the risks of AI-generated code.
- Executive assessment and technical findings
- Risk matrix and remediation roadmap
- Fixed-price Rescue proposal
10+ years building software. Now at AI speed.
AI lowers the cost of execution. It raises the value of judgment. Each square is a project delivered since 2015 — and what we learned from them became Cian-OS™, the system people and AI agents use to turn business problems into verifiable software.
400+projects delivered since 2015
1Intent2Foundation3Build4Verify5Operate
- 01 · Intent
- Define the business outcome, scope and acceptance criteria.
- 02 · Foundation
- Make product, architecture, data and security decisions before accelerating.
- 03 · Build
- Humans and AI agents execute within explicit context and constraints.
- 04 · Verify
- Validate requirements, code, security and acceptance continuously.
- 05 · Operate
- Observe, protect and evolve the system in production.
Engineering economics
More engineering capacity for every dollar invested.
In a traditional model, human effort is spread across nearly every execution task. In Cian-OS, it is concentrated where judgment matters most — and AI accelerates the rest.
≥20%
lower investment than our own equivalent traditional delivery model.
If we misjudge the effort for the agreed scope, the overrun is on us.
ActivityTraditional modelCian-OS
Problem definition Human judgment Human judgment
Architecture Human judgment Human judgment
Implementation Human judgment AI executes · an engineer verifies
Testing Human judgment AI executes · an engineer verifies
Documentation Human judgment AI executes · an engineer verifies
Review & acceptance Human judgment Human judgment
Where human effort is concentrated in each model. A qualitative view, not a measurement.
Case studies
Outcomes that are still working years later.
The business outcome first. Then the system that made it possible.
−19%
written-off portfolio
Prenda Crédito Avanza
Financial services · GuatemalaTheir lending platform since 2018, plus an AI model that scores the risk of every application. Delinquency dropped 8%.
+4.8%
sales lift from AI
Agropartner
B2B e-commerce · ChileAgrochemical platform built from scratch. A recommender and a reorder model cut costs 3.5%.
“Ciancoders has the ability to create solutions at an international level and standard, and its service is top quality.”
Delivery models
A different engineering model.
Three ways to organize software work, with different consequences for definition, verification and operations.
| Dimension | Traditional delivery | AI-assisted delivery | Cian-OS delivery |
|---|---|---|---|
| Problem definition | Requirements gathered up front | Often starts from a prompt or a prototype | Intent Brief with outcome, scope and acceptance criteria |
| Architecture | Designed by the team before or during the build | May emerge from the generated code | Architecture Blueprint before acceleration |
| Role of AI | Limited or occasional | Generates a large share of the code | Executes bounded tasks with versioned context |
| Human accountability | Spread across team roles | Depends on the team’s review practices | An engineer is accountable for every change |
| Verification | QA and testing per the team’s process | Varies by team and tool | Continuous; scales with generated volume |
| Pricing model | Often hourly or per phase | Varies by provider | Fixed investment on agreed scope |
| Production ownership | Per the support contract | Defined case by case | Continuity through Operate · Software Care |
Industries
Technology changes. Business context matters.
We don’t arrive in an industry with engineers alone. We arrive with patterns and decisions learned building real systems.
Financial services
Prenda Crédito Avanza
Insurance
Intermundial · Seguros G&T
Logistics & manufacturing
Grupo Entre Ríos
Healthcare
JICA
Retail & commerce
Walmart Central America · Agropartner
Public sector & nonprofits
Guatecompras · Cáritas · Ayuda en Acción
2015founded, in Quetzaltenango
400+projects delivered
60+clients
10countries with clients
About
Built in Latin America. Working globally.
Ciancoders was founded in Guatemala in 2015 with a simple idea: create technology opportunities from Latin America by building software that solves real problems.
Frequently asked questions.
What is Cian-OS?+
Cian-OS™ is Ciancoders’ engineering system. It defines how people and AI agents turn business problems into software that is verifiable, maintainable and operable. It is organized into five systems — Intent, Foundation, Build, Verify and Operate — with cross-cutting controls for security, quality, cost and AI governance.
How is pricing set?+
We work on a fixed investment against a defined scope. Because AI accelerates execution, pricing comes in at least 20% below our own equivalent traditional delivery model. If we misjudge the effort for the agreed scope, the overrun is on us.
Can you work on an app built with Lovable, Bolt, Replit or Bubble?+
Yes. We start with a Production Readiness Assessment to understand how solid the foundation is, then recommend whether to stabilize, rebuild parts of it, or keep building.
Do I own the code?+
Yes. Code and documentation live in your repository from day one.
Do you work in English and in US hours?+
Yes. We work in English or Spanish, on schedules compatible with the US and Canada.
Will you sign an NDA?+
Yes — before we see any of your code or business data.
Your problem doesn't need more code.
It needs the right decisions behind the code.
Tell us what you're trying to solve. We'll help you decide whether to build, rescue, extend your team — or take a different path.
30 minutes · No commitment · English or Spanish