AI
We develop advanced AI-powered solutions designed to generate real business impact. We don’t implement AI as a trend; we strategically integrate it into processes, systems, and products to optimize operations, reduce costs, and improve decision-making.
We design, build, and integrate end-to-end AI solutions, from architecture to production deployment and continuous evolution.
What did we develop?
Chatbots and Intelligent Assistants with Automated Processes
We create conversational business assistants that not only answer questions but also perform real-world actions:
We design conversational experiences aligned with specific objectives: reducing operational burden, improving response times, and optimizing costs.
Intelligent Agents and Multi-Agent Architectures
We develop agents capable of reasoning, planning, and executing actions across multiple systems.
Autonomous agent architectures
Orchestration of complex tasks
Specialized agents by domain
Integration with external tools and APIs
Coordinated multi-agent flows
We implement modern patterns of agent orchestration, memory management, and context control for robust and scalable solutions.
Intelligent Document Reading and Data Extraction (IDP)
We automate document processing using AI:
Reading and analyzing PDFs, contracts, invoices, and forms
Structured data extraction
Automatic document classification
Validation against business rules
Direct integration with administrative or financial systems
We reduce manual time, human error, and operating costs through intelligent information processing.
Integration of LLM and RAG Architectures:
We implement state-of-the-art language models in a safe and controlled manner
Integration of LLM into existing applications
Arquitecturas RAG (Retrieval-Augmented Generation)
Context control and conversational memory
Prompt optimization and response evaluation
Governance and protection of sensitive data
We design solutions that balance accuracy, performance, and operating costs.
MCP Servers and Advanced Connectivity
We develop and implement MCP (Model Context Protocol) servers to allow agents and assistants to interact securely and in a structured way with internal tools, databases, and services.
Design of custom tools for agents
Controlled exposure of business functions
Granular security and access control
Extensible architectures for AI ecosystems
This allows AI not only to “converse,” but to actively operate within the organization’s technological infrastructure.
How we work with AI
We apply a comprehensive approach that includes:
Scalable architectural design
Evaluation and selection of models
Data security and governance
Observability and performance monitoring
Cost control and continuous optimization
Testing and validation of response quality
Each solution is designed with a focus on measurable impact and return on investment.
Why choose GoTechy for AI development?
LLMs

Frameworks

Vector Databases

Data Extraction

Open LLMs Access

Text Embeddings

Evaluation








