Brazilian Foundational Model

The first AI
Latin American
with its own LLM

Multimodal, with unlimited context and proprietary architecture developed in Brazil. An AI system that thinks differently.

  • Perpetual memory — complete history with no token limit
  • Import GitHub repositories, documents, and files
  • Export to Markdown, DOCX, and PDF

1º

in Latin America

First multimodal LLM with proprietary architecture developed in Latin America

BR

Brazilian Model

Trained, developed, and maintained by a 100% Brazilian team

∞

Unlimited Context

Perpetual memory — Sapiens recalls all previous conversations with no token limit

Multimodality

One model, every modality

The same base model reads text, code, documents, images and audio — without switching tools mid-conversation.

Text and reasoning

Interpretation, summarization, long-form writing and problem solving with extended reasoning.

Code

Reads entire repositories; generates and reviews code with the context of your project.

Documents

Reads and analyses spreadsheets, slides and documents (PDF, DOCX, CSV/XLSX), bringing their content into the conversation.

Image and audio

Image and audio interpretation through Frankenstein's specialized sub-models.

Unlimited Context

Perpetual memory

The conversation never starts over

Most models forget: once the context window overflows, the start of the conversation is discarded. SAPI's perpetual memory discards nothing. Every interaction is stored as indexed binaries — inspired by the morphological storage of biological memory — and read back instantly on each new prompt.

In practice that means an unlimited number of tokens in the prompt and complete recall of every earlier dialogue, no matter how many there were or how long they ran.

  • No token ceiling on the context window
  • Recall of the entire history, not just the current session
  • Instant lookup, without recomputing the whole conversation
In practice

What a conversation looks like

sapiens-chatSAPI-5.1

Import the repository I sent and explain how the authentication module decides whether a session is still valid.

I read all 214 files in the repository. Validation does not happen against the local database: the service verifies the token signature, caches the result for 10 minutes, and falls back to the local session if the call fails. The three decision points are in...

Illustrative example. The repository context stays available across every following conversation.

Latency and infrastructure

Answers that start arriving immediately

Token-by-token streaming

The response is streamed over WebSocket as it is generated. Time to first token is what the user actually feels — and where we optimize.

Our own infrastructure

Channel layer, cache and queues operated by Sapiens, sized for long and concurrent conversations.

Per-account isolation

Every conversation and every imported file stays isolated within the originating account, with explicit access control.

Proprietary architecture

Beyond standards

A technical approach that goes beyond conventional transformers.

Schizophrenic AI

The proprietary technique

Inspired by the mental processes of schizophrenic geniuses, the base SAPI model generates a primary response to the prompt and, before returning it, receives outputs from auxiliary models for internal evaluation — choosing the most refined response among the candidates.

SAPI

Semantic AI with Pretrained Integration

Applies semantic comparison to the responses of pre-trained models that operate in an integrated fashion. By receiving "intuitions" from conflicting internal entities, SAPI chooses between multiple suggested responses — delivering refinement superior to that of traditional GPT transformers.

Frankenstein

Sub-model orchestrator

A class of specialized auxiliary models — text, document, image, audio, and video generators — that makes the system truly multimodal. The Frankenstein algorithm manages the entire set of secondary models, maintaining coherence and alignment with the base model.

Entity

Unified master matrix

The Master Entity integrates the base model and sub-models into a single matrix capable of generating creative content, code, spreadsheets, slides, documents, audio, music, and video. Connected to the internet 24/7 for real-time searches and continuous autonomous improvement.

Perpetual Context Memory

Unlimited context memory

Context window with unlimited tokens. Sapiens recalls all previous conversations, regardless of the number of dialogues or the extent of interactions — via morphological storage inspired by biological memory, with indexed binaries instantly consulted.

Architecture evolution

One lineage, six generations

Each generation inherits the architecture of the one before it and adds efficiency. SAPI-5.1 is the furthest point of that lineage.

SAPI-1SAPI-2SAPI-3SAPI-4SAPI-5SAPI-5.1
SAPI-5.1Current generation

An architectural efficiency milestone

SAPI-5.1 is the generation in production today: the extended reasoning of SAPI-5 at a substantially lower compute cost, a direct result of refining the internal multi-model evaluation.

The SAPI model family

Six generations scaling from instant answers to the deepest reasoning, culminating in SAPI-5.1.

01

SAPI-1

Free

Focused on agility. Fast responses with low computational cost.

02

SAPI-2

Medium

Expanded cognitive capacity. Ideal for everyday tasks.

03

SAPI-3

High

Deep reasoning for data analysis and development.

04

SAPI-4

Unlimited

Full capacity of the base model. The frontier of Sapiens research.

05

SAPI-5

Research

The most advanced in the family. State-of-the-art extended reasoning.

06

SAPI-5.1

Current

Current generation. SAPI-5 extended reasoning at far greater architectural efficiency.

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