52% → 85%
capacity used per truck
Build · Artificial intelligence development AI that pays for itself.
AI that pays for itself.
Integrated into your operations, not a demo.
Since 2022 we have put artificial intelligence models into production in lending, logistics, sales and accounting. We build them on your data and integrate them into the systems your business already runs on.
- What AI development services does Ciancoders offer?
- AI consulting (data assessment, feasibility and roadmap), custom machine-learning models (forecasting, classification, risk), AI integrated into existing software, AI-driven process automation, conversational assistants and natural language processing, and applied generative AI. All within Build and under Cian-OS: an engineer is accountable for every model in production.
Services
Six ways to apply AI to a business.
01
AI consulting
Assessment of your data infrastructure, feasibility study, technique selection and an integration roadmap for your business.
02
Custom machine-learning models
Demand and sales forecasting, credit risk, planning, anomaly detection: trained on your data and measured against your reality.
03
AI integrated into existing software
AI modules inside the systems you already use, with performance evaluation of existing models and ongoing maintenance.
04
AI-driven process automation
Labor-intensive processes — document classification, reconciliations, common replies — run by models, with human review where it matters.
05
Conversational assistants and NLP
Chatbots and assistants with designed conversation flows, text analysis, information extraction and translation.
06
Applied generative AI
Text generation and summarization, image and document processing, and generative components inside existing products, with quality controls.
Evidence
Models in production, with measured outcomes.
−19%
written-off portfolio
Prenda Crédito Avanza
Financial services · Guatemala+4.8%
sales lift from AI
Agropartner
B2B e-commerce · Chile97%
sales-forecast accuracy at 2–4 months
Odin
Own product · Predictive analytics−70%
unforeseen tax risks
FinanzIA
Own product · Tax AI“Thanks to the AI model Ciancoders built, our sales team now works with much clearer, more realistic targets. What used to be guesswork is now hard analysis.”
How we do it
Data and problem first. Then the model.
An AI project starts in Intent: which decision should improve, what data exists today, and how the outcome will be measured. Without that, an accurate model can solve the wrong problem.
In Foundation we assess data quality and availability and decide whether a custom model, an existing service or neither is the right call. In Build we train and evaluate on real data; in Verify we compare against the business baseline before deploying.
In Operate the model is monitored: data changes and models degrade. That’s why our cases include retraining and observability — not just a launch.
Questions about AI development
Do I need a lot of data to start?+
It depends on the problem. In the initial consulting we assess what data exists, its quality and whether it’s enough; sometimes the first phase is fixing data capture, not training a model.
Do you use custom models or third-party services?+
Whatever fits the problem: models trained on your data when the decision is specific to your business, and existing models or services when they solve a general task well. The decision and its reasoning are documented.
How is the outcome measured?+
Against the business baseline before the model: written-off portfolio, truck utilization, sales, hours of work. The published cases show those figures.
Is my data used to train other people’s models?+
No. Your data is used only for your project, under NDA, and the AI tools we use operate under professional-use agreements.
The right AI is the one that changes a business decision.
Let’s start with that decision.
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