Artificial intelligence
and Big Data

Artificial Intelligence and Big Data

 Our company offers advanced Artificial Intelligence (AI) and Big Data solutions that transform the way organizations make decisions and optimize their operations. We specialize in the development of intelligent autonomous agents, generative AI solutions using learning language models (LLMs), both on-premises and in the cloud.

Our AI systems drive digital transformation through intelligent automation, predictive analytics, and advanced data processing, enabling our clients to make more informed and agile decisions.


Agents
Autonomous
Generative AI
 Language Models (LLMs)
 Data Processing


Our experience in diverse industries allows us to adapt our solutions to meet the specific requirements of each client, maximizing the return on investment in advanced technology.


 Secure AI within reach of organizations and businesses

Discover the Potential We assess your needs and identify opportunities where the application of AI can help your organization 
Customized Solutions We develop customized AI solutions, prioritizing local models for greater security and control. 
Data Protection We guarantee the security of your data with our focus on local and open models 
Continuous Optimization We constantly improve the performance of your AI to maximize your return on investment 
Hassle-Free Implementation We seamlessly integrate AI into your existing processes, minimizing disruptions 

Data sovereignty and security

 
We prioritize data sovereignty and security by deploying on-premises models that ensure information never leaves your organization's control. Unlike cloud-only solutions, our systems allow you to retain full control over your sensitive data while leveraging the power of advanced AI.

We develop each solution to the highest security and compliance standards, ensuring that your critical information remains protected and under your control at all times.

AI Agents

 
Autonomous agents represent the next evolution in intelligent automation. These advanced systems operate continuously within your secure infrastructure, processing information and making informed decisions while keeping your data protected at all times.

To better understand how our agents work, consider the following operating cycle:
Perception The agent observes and collects data from its surroundings 
Processing Analyze information using AI models 
Decision Evaluate options and determine the best action 
Action Executes the decision made 
Evaluation Analyze the results and adjust your strategy 

Semantic search

 
Semantic search represents a quantum leap in the way organizations access and use their information.

Our implementations make it possible to find documents and data based on their meaning and context, not just keywords. By using embeddings and cutting-edge technologies such as generative AI, we transform large volumes of unstructured data into accessible and actionable knowledge, significantly improving operational efficiency and decision-making.

Our Team

 
Our team of experts has extensive experience in the most advanced technologies on the market, including the development of autonomous agents using frameworks such as Langchain and LangGraph, implementation of generative AI models in both cloud and on-premise infrastructure, and development of custom solutions in Python.

We excel in the implementation of semantic search systems that use embeddings and vector databases, allowing organizations to find relevant information beyond exact keyword matches.

We have deep knowledge in the deployment and optimization of local models such as Llama, as well as experience in microservices architectures, RESTful APIs, language processing Natural Language Processing (NLP), and advanced machine learning and deep learning techniques. This combination of technical skills and practical experience allows us to design and implement robust solutions tailored to the specific needs of each organization.

Some of our cases

 
Mockup BIonA BPM
Smart BPM Assistant
  • Form Builder
    Create forms using natural language instructions
  • Business Process Builder
    Design business processes from natural language descriptions
  • Error Analysis
    Identifies and suggests solutions for process errors
Planogram Solution
  • Shelf Space Optimization
  • Sales Analysis by Location
  • Layout Recommendations
Machine Vision for Crafts
  • Cloud-based image processing of handicrafts
  • Automatic detection and description of handicraft features

Big Data

 
Using Big Data allows us to analyze huge amounts of information in real time, identifying patterns and generating actionable insights that improve operational efficiency. Through our data analysis tools, companies can discover new business opportunities, improve customer segmentation, and optimize their production processes.

Our team works closely with each client to understand their needs and build data solutions that drive tangible results.
Infographic Big Data
This comprehensive approach that combines Big Data and Artificial Intelligence to empower the digital transformation of companies is aligned with our mission of helping organizations make more informed and strategic decisions through the efficient use of their data and the implementation of smart technologies that improve citizens' quality of life.
Every day, organizations generate large volumes of data that have significant value in decision-making. Oracle defines big data through the five Vs: Variety, Volume, Value, Veracity, and Velocity (large volumes of data that are generated at high speed and that present a great variety in terms of their structure; however, they must provide value to the organization and have a significant degree of veracity).

Our services include activities in the different phases of a Big Data project.

Data Ingestion

Scalable and open platforms for collecting, storing, and managing multiple data sources.

Data Pipeline

Process of finding anomalies, patterns, and correlations in large datasets to predict outcomes.

Data Mining

Depending on your data ecosystems, configure continuous or batch processing to handle historical or real-time data.

Storage

Creation of interactive dashboards and self-service Business Intelligence.

Analytics

Configuration of Datamarts for efficient data storage and retrieval.