Meet S5.

Research, build, and work with data. Adjustable reasoning and a million tokens of context, in chat and through the API.

See Sabiá in action

Ask anything about Brazil — Sabiá consults official databases and answers with the source.

|
Maritaca · Data Ocean
Thought and consulted official databases

Our models

S5-nano

Available via API

Fast responses.

Automate with speed.

S5

Available via API and Chat

Our most intelligent model.

Create, analyze, and solve complex problems.

For professionals across Brazil

Made for lawyers, economists, journalists, teachers, public managers and entrepreneurs, from agribusiness to real estate.

Answers grounded in official Brazilian data

Taps into dozens of Brazilian databases (population, companies, health, economy, safety and more) and answers in real time with real numbers and sources.

Inference 100%
in Brazil

Can run entirely on national territory, for use cases that require data sovereignty and residency.

Up to 100 files at once

Analyze up to 100 files at once, from contracts and spreadsheets to reports. Most tools stop at just 10 to 20.

Frequently asked questions

What is S5? +
S5 is the new generation of Sabiá, available in Maritaca chat and through the API. It combines adjustable reasoning, a 1 million token context window, and tools for web search, code execution, and Brazilian data analysis with Data Ocean.
How do I use the Sabiá models? +
Go to chat.maritaca.ai or download the Android/iOS app. For API usage, see the documentation at docs.maritaca.ai.
What can the models do? +
Sabiá models are specialized in Portuguese and Brazilian contexts.

Main capabilities include: analyzing and summarizing long documents (PDFs, contracts, legislation), deep understanding of Brazilian legal, educational and institutional topics, function calling for system integration, web search, and Portuguese text generation with high fluency.

For benchmark performance details, see the models page in the documentation.
Can I fine-tune the models on my own data? +
We don't currently offer fine-tuning. For use cases requiring customization, we recommend using RAG (Retrieval-Augmented Generation) with our models, which usually covers most scenarios. See our RAG guide in the documentation.
Where can I learn more about the models? +
Read the S5 launch post for capabilities and examples. Our research page includes technical reports and evaluations of earlier Sabiá generations.
Is my data used for training? What is the data retention policy? +
API: prompt and response content is immediately discarded after the output is generated and is never used for training. We keep technical records (IP address, timestamp, token counts) for the period required and permitted by law: Brazil's Internet Civil Framework (Marco Civil da Internet) mandates keeping access records for at least six months, and the LGPD allows retention for as long as needed for billing, fraud prevention, security and legal defense; we keep these records for up to eighteen months. Error logs may contain request fragments and are discarded within thirty days. See the Data Processing & Security page for details.

Web Chatbot and Mobile Apps: conversation data is stored so users can access them later. However, this data is not used for training, regardless of whether the user is on a paid or free plan. User privacy and security are maintained at all times, and retention periods are described in our Privacy Policy.
Are the models available for local (on-premise) use? +
Sabiá models are available through Maritaca chat and the API. We don't offer weights for download or licensing for on-premise use. All data sent to the API is discarded immediately after the response is generated and is not used for training.
Do you have embedding models for Retrieval-Augmented Generation (RAG)? +
We don't currently offer our own embedding model. We recommend using multilingual models such as Multilingual-E5-large. See our RAG guide in the documentation for a complete integration example.
What cloud infrastructure does Maritaca use? +
Our models run on GPUs at Oracle Cloud, Amazon AWS, Google Cloud, Verda, and EVEO. Training is mostly performed on TPUs at Google Cloud. For workloads that require processing entirely within Brazil, models with the br-sp suffix run in an EVEO data center in São Paulo; see the Data Processing & Security page.
Do you offer plans for companies? +
Yes. For companies that need a contract, dedicated SLA, Data Processing Agreement (DPA), custom billing or priority support, please fill out the form at maritaca.ai/en/api.

For direct API usage, just create an account at plataforma.maritaca.ai — no need to talk to our team.
What is the SLA and uptime guarantee for the API? +
API availability can be tracked in real time at status.maritaca.ai. For specific SLA needs or enterprise contracts, contact info@maritaca.ai.
How do I integrate Maritaca into my system? +
The Maritaca API is compatible with the OpenAI library. If you already use OpenAI, just change the base_url to https://chat.maritaca.ai/api use your Maritaca key, and set the model to S5. For more details, see docs.maritaca.ai.
What are the API rate limits? +
Request limits vary by plan. For up-to-date details, see the documentation at docs.maritaca.ai/pt/rate-limits or the platform at plataforma.maritaca.ai/rate-limits.
Do the models support function calling? +
Yes. S5 and the Sabiá family support function calling, letting the model invoke functions you define to integrate with external systems, APIs and databases. Full documentation with examples is at docs.maritaca.ai/pt/chamada-funcao.
Can I use the API to process documents (PDFs, images)? +
Yes. The API accepts file attachments such as PDFs and images alongside the message. Text content is extracted automatically and passed to the model. This enables analysis, summarization and Q&A over documents directly via the API. See docs.maritaca.ai/pt/files.