Anote AI

# Autonomous
Intelligence

Private document Q&A and AI chat — self-hosted, OpenAI-compatible, and built for enterprises that can't send data to the cloud.

100%
Data stays on your infra
GPT-4o
Compatible API surface
RAG
+ Agentic reasoning
The Problem

## AI is powerful.
But your data can't leave.

🏦

### Regulated industries

Finance, healthcare, legal — strict data residency rules block SaaS AI tools entirely.

🔒

### IP & trade secrets

R&D docs, M&A filings, and proprietary research can't be sent to third-party APIs.

📋

### Compliance burden

IT and legal veto ChatGPT integrations — no visibility into what leaves the network.

$180B+ enterprise software market — most of it blocked from AI adoption due to data sovereignty concerns.

The Solution

## Drop-in AI that runs
inside your perimeter

📄
Upload docs
→
🔍
RAG chunking
→
🤖
LLM answer
→
📊
Cited response

- ✓Self-hosted Docker deploy — data never leaves your VPC
- ✓OpenAI-compatible API — existing integrations just work
- ✓GPT-4o & Claude in one interface — switchable per request
- ✓Agentic reasoning with tool use for complex multi-step queries

Product

## Everything needed to
chat with your documents

💬

### Chat UI

React-based chatbot with streaming, image attachments, and chat history.

📎

### Document Q&A

Upload PDF, DOCX, HTML. Semantic search retrieves the most relevant passages.

🔗

### REST API

OpenAI-compatible `/v1/chat/completions` + `/v1/question-answer`.

🧠

### Agents

Autonomous & reactive agents with tool calling, multi-step planning, and streaming reasoning.

🌐

### Multi-language

Chinese, Japanese, Korean, Spanish, Arabic blueprints built in.

📊

### Chart generation

Finance-aware charts streamed inline alongside text answers.

🔑

### API keys & auth

JWT + Google OAuth, API key management, Stripe subscriptions.

OpenAI Compatible

## Your existing code.
Zero rewrites.

from anoteai import AnoteOpenAI # Swap the base_url — everything else stays identical client = AnoteOpenAI( api_key="your-key", base_url="http://your-server:5000" ) # Standard chat completions response = client.chat.completions.create( model="gpt-4o", messages=[{"role": "user", "content": "Summarize Q3 earnings"}], extra_body={"chat_id": 42} # optional: ground answer in docs )

Works with LangChain, LlamaIndex, or any SDK that accepts a `base_url` override.

Architecture

## Production-grade stack,
deployable in minutes

### Backend

Flask + LangChain / LangGraph
SQLAlchemy 2.x ORM + MySQL 8
Redis session cache
Apache Tika document parsing
Ray for async embedding jobs
Alembic schema migrations

### Frontend

React 18 + Redux Toolkit
Tailwind CSS + Flowbite
Server-Sent Events streaming
PDF viewer, image attachments
Vitest unit test suite
Shareable chat links

### AI / Models

OpenAI GPT-4o / GPT-4 Vision
Anthropic Claude 3.5 Sonnet
Local LLM via Ollama
Sentence Transformers embeddings
Centralized provider factory
Feature-flagged per deployment

### Operations

Docker Compose one-command deploy
Flasgger OpenAPI docs at /docs
Pydantic v2 request validation
Stripe billing + webhooks
Google OAuth SSO
GitHub Actions CI/CD

Why Us

## The only private-first
drop-in OpenAI alternative

Feature | ChatGPT / OpenAI | Open-source LLMs | Autonomous Intelligence
--- | --- | --- | ---
Data stays on-prem | ✗ | ✓ | ✓
OpenAI-compatible API | ✓ | ✗ | ✓
GPT-4o & Claude unified | ✗ | ✗ | ✓
RAG over private docs | ✓* | ✗ | ✓
Agentic tool use | ✓ | ✗ | ✓
One-command deploy | ✓ | ✗ | ✓
Full source available | ✗ | ✓ | ✓

* ChatGPT Enterprise only, data still exits your network

Traction & Roadmap

## Built in the open,
shipping fast

### Shipped

- ✅ OpenAI-compatible `/v1/chat/completions`
- ✅ Document Q&A with source citations
- ✅ Streaming SSE responses
- ✅ Image & PDF multimodal support
- ✅ Autonomous + reactive agent system
- ✅ Shareable chat links
- ✅ SQLAlchemy ORM + Alembic migrations
- ✅ Flasgger OpenAPI docs

### Coming Next

- 🔜 MCP server integration (tool marketplace)
- 🔜 Audio transcription pipeline (Whisper)
- 🔜 Video frame analysis
- 🔜 Dynamic tool registration by agents
- 🔜 Tabular data (CSV / Excel) ingestion
- 🔜 Evaluation dashboard (RAGAS metrics)
- 🔜 Fine-tuning on private datasets
- 🔜 On-prem model hub (Ollama catalog)

Business Model

## SaaS + Enterprise
deployment tiers

🌱

### Developer

Free

Self-host with community support. Full API access. Perfect for evaluation and prototypes.

🚀

### Cloud

Usage-based

Managed hosting, auto-scaling, 99.9% SLA. Stripe metered billing per token consumed.

🏢

### Enterprise

Custom

VPC deploy, SSO, audit logs, SLA, dedicated support. Annual contracts.

$300B+
Enterprise AI market by 2026
67%
Enterprises blocked from AI by data concerns
10x
Cost savings vs. per-seat SaaS at scale
Anote AI

# Private AI,
ready to ship.

Deploy in 5 minutes with Docker. Plug your existing OpenAI integrations in. Keep every byte on your infrastructure.

Get started
`docker compose up`
API endpoint
`localhost:5000/v1`
Interactive docs
`localhost:5000/docs`
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