The AI that works inside your organization
We develop artificial intelligence solutions that integrate into your processes, learn from your data and generate measurable value from day one.
Contact usWhat we build with AI
Artificial intelligence solutions that adapt to the operational reality of each organization — from predictive models to autonomous agents deployed on their own servers.
Custom language models, RAG systems with the organization's own knowledge and autonomous agents that execute complex tasks without human intervention.
Predictive models for demand, failures, pricing and behavior. From simple regressions to deep learning architectures tailored to your historical data.
Real-time image and video analysis: object detection, quality defects, facial recognition, document reading (OCR) and visual monitoring of industrial processes.
Discover how your processes really operate using your system logs. Identify bottlenecks, deviations and optimization opportunities with AI on real data.
We deploy AI models directly on the client's infrastructure — without sending data to third parties. Ideal for organizations with privacy, regulatory or data sovereignty requirements.
We combine AI with process automation to eliminate repetitive tasks, reduce errors and free up human capacity for what truly matters. RPA powered with intelligence.
Let's design the AI implementation that will transform your operations
Every organization has a different entry point. We identify yours, build on your real data and deliver measurable results — not prototypes.
A model that identifies which customers are likely to leave before they do, enabling preventive actions weeks in advance.
Models that project future demand considering seasonality, external events and business variables to optimize stock and reduce shortages or excess.
An LLM trained on the organization's own documents, processes and data. Answers internal questions, generates reports and automates tasks with real business context.
A vision system that inspects products on the production line in real time, detects defects with greater accuracy than the human eye and generates automatic records.
Automatic extraction, classification and processing of invoices, contracts and forms. AI reads, understands and executes without human intervention on repetitive tasks.
We analyze your system logs to map how your processes actually run and identify where you lose time and money — with evidence, not assumptions.
Sense — generative AI built on your organization's own knowledge
Sense is our private generative AI. It deploys directly on the client's infrastructure or is consumed through Dataizen — always with your data, never exposed to third parties.
| Data Source | Type | Value |
|---|---|---|
| Financial ERP | Transactions | Financial control |
| CRM | Revenue / customer | Customer analysis |
| Billing systems | Sales records | Revenue monitoring |
| Banking data | Cash flow | Liquidity analysis |
| Budgets | Planning data | Forecasting |
| Financial statements | Accounting metrics | Executive reporting |
| Sales data | Commercial performance | Business growth |
| Economic indicators | Market trends | Strategic decisions |
AI Evolution Plan
A program designed to take your organization from its current state to a real, scalable and profitable adoption of artificial intelligence — in four concrete stages.
Maturity assessment en datos e inteligencia artificial
We analyze your organization's current state in data use and AI adoption. We evaluate processes, systems, culture and capabilities to establish an honest baseline — and define where to build from.
Data quality improvement and integration of new sources
With the roadmap in place, we work to ensure the organization has the right data — not just what already exists, but what it should be capturing. We enable new sources, improve existing quality and integrate technologies that expand the raw material available for AI.
First AI project orientado al ROI y al impacto operativo
We execute the first artificial intelligence project alongside the organization. The objective is twofold: generate measurable ROI and transform the internal culture toward the everyday use of data and AI as decision-making tools.
Second project: validating that the organization is ready to scale
The second project confirms that the organization has internalized data as raw material and is prepared to operate with AI consistently and autonomously. It is the close of the AI Evolution Plan and the starting point for real scale.