Our AI Automation Services

Our agents are based on a technology called RAG (Retrieval-Augmented Generation), which combines two key elements:

Retrieving relevant information

The agent searches for specific data in documents or databases provided by the companies.
Generating intelligent responses

Once it has the information, the agent processes it and generates clear and useful responses.

This means the agent not only answers generic questions but can also work with your documents (manuals, reports, or databases) to provide personalized and precise answers.

How do we create these agents?

We identify your needs

We analyze which processes or tasks can benefit from automation.

We develop the agent

We create a custom agent tailored to your documents and systems.

We deploy it

We launch the agent in a web application chat interface, similar to ChatGPT, with your domain.

We optimize

We keep improving the agent so it evolves with your needs.

Transform Your e-Commerce with Our Advanced AI Training

AI training for e-Commerce is designed to implement AI solutions that revolutionize user experiences and optimize internal operations.

Personalized training

Learn to integrate AI agents into your e-Commerce to improve product search with natural language.

API connectivity and structured data

Master accessing APIs, JSON, URLs, and routes to extract and display real-time information.

Product visualization

Learn to include product images and descriptions in AI agent responses for a more engaging experience.

User experience optimization

Discover how to reduce abandonment rates and increase conversions with more intuitive searches.

Scalability and automation

Implement solutions that adapt to your growth and reduce workload.

RAG Training

Practical Example of RAG Training

Imagine your company has a 50-page FAQ manual. Our system uses that information to respond accurately, even in complex situations.

Example Case

If a client asks about a specific policy, the chatbot can provide a detailed and accurate response based on the manual's content.

What Can We Train?

Training Cases

Automated FAQs: Answer frequently asked questions based on a document.
Product Information: Provide basic details about a product or service.
Business Policies: Respond about policies or legal terms.
Sales Responses: Generate automatic answers about pricing or services.

Limitations

Each case is limited to a single document. More complex requirements will need a custom quote.

UX Training for e-Commerce

Examples and Use Cases

Personalized Training: Processes complete product catalogs, creates semantic embeddings for intelligent search, and maintains product, price, and availability context.
Connectivity and Structured Data: Handles product JSON data, integrates APIs (like OpenAI), and structures responses based on real catalog data.

Practical Use Cases

Advanced Product Search: "I'm looking for a laptop for graphic design under $1500."
Personalized Recommendations: "I need accessories compatible with iPhone."
Product Comparison: "Which is better, Laptop Pro X or Laptop Elite Y?" Helps users compare specifications and make informed decisions.

Start now in the era of Artificial Intelligence

Learn how AI can transform your business and take you to the next level.

View demo

Schedule Product Discovery