Learn how to use artificial intelligence in your company


SISTAAR AI is a software platform that includes artificial intelligence tools and services, allowing you to chat in natural language with various types of business texts and documents.

SISTAAR AI can act as a team member, processing data and documents, quickly answering complex questions, improving productivity, simplifying research operations, and opening new avenues for interacting with your business information and customers.

How does SISTAAR AI work

The SISTAAR AI platform is installed as a 'stand-alone' application within the company's infrastructure or in the cloud and fed with different document repositories (cloud, file-system, database, DAM, ERP, CRM, WMS, e-commerce, portals, etc.).

What is SISTAAR AI used for

  • Speak directly to your data through natural language
  • Query large amounts of data in real-time.
  • Automate internal processes and offer advanced services to your customers


We integrate SISTAAR AI into your company

Chat with your


Query text documents, technical sheets, contracts, manuals, etc. through natural language


DAM, document repositories, filesystems

Chat with your


Interact with your data, request extractions and analyses, and query databases and management systems


ERP, PLM, CRM, Database, Excel, Csv, SAP, Salesforce, etc.

Chat with your DOCUMENTS

The system analyzes the content of the files and allows you to query large amounts of data in real-time.


  • Natural Language Search
    Interaction with document repositories and advanced search using natural language.
  • Reduction of Operational and Training Costs
    Get precise and relevant answers immediately, reducing the time and operational costs needed to manually search for information in documents.
  • Custom RAG
    The included custom RAG limits and optimizes the use of external LLMs (OpenAI, Google) reducing costs.
  • Adaptation and Versatility
    Responses can be adapted based on the context and specific needs of the user, improving the relevance and usefulness of the provided information.

Our Business Cases

Operations and Sales

Quick search for information contained within user manuals, commercial and technical product sheets.

Improve and speed up the search for relevant information for salespeople and product users.

HR and Recruiting

Quick search for information contained within resumes, personnel contracts, and company regulations.

Improve and speed up the search for candidates, skills, experiences, contractual conditions, etc.

Administration and Bidding Office

Quick search for information contained within contract documents, quotes, invoices, customer and supplier orders, etc.

Improve and speed up the search for relevant information.

Legal and Compliance

Quick search for norms and regulations contained in contracts, regulations, certificates, procedures, manuals, etc.

Improve and speed up the search for relevant information.

Chat with your DATA

Do you have data you would like to chat with?

We analyze relational and non-relational databases, xls and csv files to build a behavior model for a digital assistant capable of answering questions based on a complex information base.

Custom Hosted & Managed Services

Our platform provides advanced indexing, summarization, similarity, and search technologies through Hosted and Managed services that perfectly adapt to your needs.

Chunking service icon

Breaking down complex content into manageable segments, called "chunks," to facilitate collection, indexing, and analysis.

Summarization service icon

Analysis, composition, and generation of comprehensible and coherent texts using advanced natural language processing algorithms.

Similarity service icon

In-depth comparisons between different textual content through the search for similar concepts and relevant and coherent analogies.

Search service icon

Improving the quality and relevance of generated content by combining chunking and summarization techniques.

RAG (Retrieval-Augmented Generation)

Design and development of custom RAG systems to significantly improve the quality and relevance of content in searches on complex texts.


Talk to us!

Contact us for a consultation, we will understand your processes and provide you with the elements to determine if SISTAAR AI is the right solution for your business.

Write to us at:

OpenAI and ChatGPT

The generative artificial intelligence component on which SISTAAR AI is based is developed by OpenAI and includes its flagship product ChatGPT.

ChatGPT is an advanced natural language model that currently represents the state of the art in technological evolution in this field. ChatGPT stands out for its ability to understand and generate text coherently and eloquently, offering a wide range of applications and paving the way for new interaction methods based on natural and intuitive dialogues.

LLM (Large Language Model) models are a category of artificial intelligence models designed to understand, generate, and work with natural language on a large scale. These models are trained on enormous text datasets collected from various sources to learn linguistic structures, context, semantics, grammar, and nuances of human language.

This makes them particularly effective for natural language processing (NLP) tasks.

LLMs can understand text in an advanced manner, allowing them to answer questions, summarize documents, translate languages, and much more.

They are capable of producing coherent and contextually relevant text, ranging from specific question answers to content creation.

image AI-chatgpt-openai

SISTAAR AI coordinates the interaction between all artificial intelligence components:

OpenAI API REST https + Auth Token: Interface for application programming that allows communication with OpenAI services through the secure HTTPS protocol, using an authentication token to ensure security and authorized access.

Prompt and Context: Mechanism through which users provide textual input (prompt) to the AI, along with optional context, to guide the generation of responses or specific content in line with the user's needs.

Data Integration: Process of combining data from different sources (such as ERP, CRM, e-commerce, etc.) into a single system or application, enabling unified analysis and access through AI solutions.

Memory: System's ability to store information or previous conversation contexts, allowing the AI to provide more coherent and personalized responses over time.

RAG and Embeddings: Retriever-Generator (RAG) combines information retrieval with text generation to answer questions or perform tasks based on a vast text corpus. Embeddings are vector representations of text that facilitate this search and understanding of natural language.

Vector Database Search: Technique that uses databases optimized for vector search to quickly find the most relevant information in large datasets, based on semantic similarity rather than exact matches.

Chunking: Method of dividing long or complex texts into smaller parts (chunks) to improve processing, understanding, and response generation by AI.

LLM Integration: Integration of Large Language Models (such as GPT) into software applications to leverage their advanced capabilities of understanding and generating natural language in various tasks, such as answering questions, creating content, and more.

UI Integration: Implementation of user interfaces that facilitate interaction between users and AI-based solutions, such as chatbots or virtual assistants, making the experience more intuitive and accessible.

image AI-chatgpt-openai

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