AI Data Analysis

Your data is telling you things you haven't heard yet

We turn your company's scattered data into clear, actionable insights using AI. Evidence-based decisions, not intuition.

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Why Deepyze for your AI Data Analysis?

We work with industry best practices to guarantee real results.

Executive dashboard

Clear visualizations of the KPIs that matter. Real-time data so leadership always has the pulse of the business.

Demand predictions

Predictive models that anticipate future demand based on historical trends, seasonality and external factors.

Anomaly detection

AI automatically detects outliers: unusual sales, suspicious behavior, quality defects. Alerts before they become problems.

Customer segmentation

We group your customers by purchase behavior, lifetime value and other variables so you can communicate in a personalized way.

Churn analysis

We identify which customers are most likely to leave before they do. Timely intervention to retain them.

Automated reports

Reports generate themselves and are sent to the team at the right time. No more spending hours building Excel every week.

How we build your AI Data Analysis

A clear and transparent method so you always know which stage your project is at.

Data inventory

We survey all your data sources: CRM, ERP, e-commerce, social media, sensors. We evaluate quality and availability.

Data architecture

We design how to integrate and centralize all data in a data warehouse. Every analysis starts from clean, trustworthy data.

Models and visualizations

We develop the AI models and visualization dashboards based on prioritized use cases.

Training and adoption

Data analysis is only valuable if the team uses it. We train users in interpreting reports and models.

Frequently asked questions about AI Data Analysis

Everything you need to know before starting

It depends on the model. For demand predictions we need at least 1-2 years of history. For customer segmentation, hundreds of transactions are enough. We evaluate case by case.

Python with scikit-learn, pandas and TensorFlow for models. Power BI or Metabase for dashboards depending on the case. All integrated with your existing stack.

A basic dashboard with 5-10 KPIs starts from USD 2,000. Full projects with multiple predictive models and a data warehouse from USD 8,000.

We can implement on your own cloud infrastructure (AWS, GCP, Azure) or on dedicated servers so your data doesn't leave your control.

Yes. We integrate with major digital marketing platforms for a unified view of all channels.

A data analysis MVP can be ready in 4-8 weeks. More complex projects with multiple sources and advanced models can take 3-6 months.

Productos que construimos

No es teoría: es software propio en producción

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Precio fijo en USD

Cotizamos con alcance cerrado en dólares. Sabés cuánto cuesta desde el día uno, sin sorpresas.

El código es 100% tuyo

Al finalizar, el repositorio, la infraestructura y la documentación quedan completamente a tu nombre.

Mismo huso horario

Trabajamos en horario de negocio de Sudamérica. Reuniones y respuestas sin delays por diferencia horaria.

Propuesta en 24-48 h

Después de la primera reunión recibís una propuesta detallada por escrito, sin compromiso ni letra chica.

Damián Oliva

Fundador de Deepyze

Trabajás directo con quien construye. Años desarrollando productos digitales en LATAM, certificado en Google Cloud Machine Learning.

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