AI

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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