AI Consulting & Strategy
We assess your business and identify automation opportunities with AI to maximize your return on investment.
We transform your business with custom AI solutions. From intelligent chatbots to autonomous agents, we bring artificial intelligence to your operations.
We assess your business and identify automation opportunities with AI to maximize your return on investment.
We create custom applications powered by artificial intelligence that solve your specific business problems.
Intelligent chatbots that serve customers 24/7 with contextualized responses and continuous learning.
Content, text, image and document generation with AI adapted to your brand and needs.
We connect AI models with your existing systems: CRM, ERP, databases and work tools.
Autonomous systems that execute complex tasks combining multiple tools and AI models.
Data analysis and predictions for better business decisions based on historical patterns.
Intelligent automation of repetitive processes and workflows that save time and reduce errors.
Text analysis, sentiment detection, information extraction and automatic document classification.
Image recognition, OCR and automated visual analysis to digitize and process visual information.
Query systems over your own documents with conversational AI. Your information, accessible via chat.
Monitoring, optimization and continuous evolution of your AI solutions to maintain peak performance.
We work with the most advanced tools and frameworks in the AI ecosystem
Since 2020 we help companies reduce operational costs, automate processes and make better decisions with AI.
We didn't ride the AI wave: we'd been building it since 2022.
We started with applied AI: detection and classification on images, and language processing in real production.
YOLOv7 with custom fine-tuning · transformer-based NLP
First generative models in production
We connected LLMs to each client's data: answers with their source in view, no hallucinations.
RAG over vector DBs: embeddings + semantic search
Orchestration with LangChain · GPT-4 and function calling
We moved from similarity search to reasoning over knowledge graphs, with several agents coordinated.
GraphRAG over knowledge graphs · hybrid RAG with re-ranking
Multi-agent orchestration (LangGraph, CrewAI)
We standardized how agents reach tools and data, with evals and observability from day one.
MCP for standardized tool-calling · autonomy loops
Evals, tracing and guardrails in production
Today: multi-agent systems running real processes in production, governed and measured.
MCP + secure RAG + eval pipelines · drift detection
Long-horizon agents · structured memory · human-in-the-loop