Generative AI

In our consulting firm, the use of leading models such as Gemini, GPT, Claude, Llama, Mistral, and IBM Granite is based on a strategy of tangible and optimized value. We do not implement AI because of trends, but because we know how to unlock its added potential within your business processes. We master the underlying technology of each platform, which allows us to select the precise model (whether it's native to GCP/AWS, open-source, or focused on enterprise like Granite) that guarantees the best cost-performance ratio for your specific use case.

A Robust Framework

Our workflow methodology guarantees project success, minimizing risks and accelerating the time-to-value. We have deep experience in creating advanced architectures, including autonomous AI agents and complex agentic workflows. This process goes beyond a simple chatbot: we build intelligent systems capable of chaining tasks, managing business logic, and making complex decisions. We leverage the strengths of each model (from the power of GPT in code generation to the security of Claude and the enterprise robustness of Granite in legal RAGs) to ensure that every implementation maximizes operational efficiency, maintains data governance, and generates a clear and measurable return on investment (ROI).

01

Data Foundation

Ingest & Store

Prepare data infrastructure for Generative AI models

Vector Database
ETL Pipelines & Data Lakes
Feature Store for Embeddings
Data Quality & Validation
Chunking & Preprocessing
02

Model Selection

Choose & Tune

Select and configure foundational models for the use case

Foundational Models (GPT, Claude, Llama)
Fine-tuning
RAG Pipeline Implementation
Embedding Models
Model Evaluation & Benchmarks
03

Orchestration

Coordinate & Execute

Design agent flows, prompts, and tool utilization

Advanced Prompt Engineering
AI Agents
Tool Usage & Function Calling
Chain of Thought Reasoning
Memory & Context Management
06

Scaling

Optimize & Expand

Enhance performance and scale to new use cases

Infrastructure Auto-scaling
Cost Optimization
Multi-model Orchestration
New Use Case Expansion
Enterprise Rollout
05

Monitoring

Observe & Govern

Monitor quality, costs, and regulatory compliance

LLM Observability (logs, traces)
Quality Evaluation Metrics
Cost Tracking
Guardrails & Content Filtering
Internal & External Regulatory Compliance
04

API & Apps

Expose & Integrate

Deploy services and create user interfaces

REST/GraphQL APIs
Streaming Endpoints (SSE)
Resource Control & Caching
Chat/Assistant Interface
SDKs & Documentation

State-of-the-Art LLMs

We manage the leading Generative AI models for customized enterprise solutions.


Modelos fundacionales


The GPT series stands out for its exceptional performance and its robust API, which is the most widely used globally for enterprise solutions. Its secure implementation is achieved through leading Cloud platforms. Our consulting firm's expertise allows us to build chatbots, code generation systems, and content synthesis tools.



The Llama models are leaders in open-source, offering total control and customization over the architecture. Our expertise in fine-tuning allows us to build backend agents and integrated models for analytics. This flexibility, with optimized Cloud deployment, translates into a competitive advantage for specific use cases that require absolute control.

Gemini stands out for its multimodal architecture and its integration with GCP and Google Workspace. Our consulting firm's expertise allows for the development of productivity solutions such as intelligent assistants and fast RAG systems. This capitalizes on the Google ecosystem to achieve superior operational efficiencies and an exceptionally fluid end-user experience.

Claude is the preferred model for environments demanding maximum security and ethics, capable of processing vast amounts of text and documents. Its technology is implemented via AWS Bedrock. Our consulting firm's expertise allows for the creation of regulatory analysis and RAGs for extensive libraries, which is crucial for highly regulated industries.


Mistral is distinguished by its efficiency and performance, which are vital when speed and low inference costs are crucial. Its multi-cloud deployment is optimized to create ranking engines, ticket classification systems, and high-speed functional prototypes, ensuring agile implementation and a rapid return on investment (ROI).


Granite is designed with a strong focus on security, data governance, and enterprise robustness. Our expertise in its implementation focuses on high-sensitivity environments and process automation. Its Cloud integration is leveraged for the creation of reliable and auditable RAGs, providing an indispensable layer of compliance.