Ultra Augmented Intelligence Research

Cortex Reasoning Model

Hierarchical reasoning that bridges neuroscience, cognitive science, and machine learning.

Explore our ultra augmented intelligence and cortex reasoning

Trusted by Professionals & Ecosystem
Circle
Brex
Accenture
Grab
NUS
Github
Expedia
Standford
Gojek
Traveloka
Tokopedia
Blibli
OpenAI
NTU
Microsoft
Berkeley
Quicknode
Ripple
Harvard
Paypal
upenn
Instarem
tsinghua
Resend
Unimelb
Chainalysis
Nium
tsinghua
Vercel
Phantom
Shopee
Coinbase
Figma
Anthropic
Visa
Mastercard
AWS
Bytedance
Infura
Tiket
Uber
Google
Alchemy
Stripe
Foodpanda
Qoala
Mercury
Tether
PWC
Lazada
Ethereum
Supabase
Metamask
Polygon Technology
Nextrans
Agoda

Beyond standard AI queries

Cortex reasoning model handles complex, multi-domain inquiries—from neuroscience to finance—with hierarchical processing.

1

Multi-Layer Reasoning

Processes queries through hierarchical cognitive layers, similar to cortical processing pathways.

2

Contextual Integration

Synthesizes information across neuroscience, AI, and cognitive science domains seamlessly.

3

Deep Understanding

Comprehends technical concepts from molecular mechanisms to system-level architectures.

hugogen
>

Built for how you actually work

Not just another chatbot. HugoGen orchestrates workflows, remembers context, and handles transactions—so you can focus on what matters.

Multi-agent orchestration

Chain specialized agents for research, writing, and analysis. Each agent handles a specific task—literature review, citation extraction, data analysis—then passes results to the next.

Cortex memory

Hierarchical memory system inspired by brain architecture. Implements working memory buffers, semantic knowledge graphs, and episodic trace consolidation with attention-weighted retrieval mechanisms.

Autonomous transactions

Order food, book travel, or purchase products through natural language. AI handles search, selection, and checkout—you just confirm the final order.

Open commerce protocol

Any business can integrate via standard REST APIs. Define your product schema, and AI agents automatically discover and transact with your inventory.

Research, write, and analyze

Multi-agent workflows handle the full cycle—from literature review to final draft—so you can focus on decisions, not formatting.

Literature Review

Synthesize research across papers and articles. Extract citations in APA, MLA, Harvard or Chicago format. Generate annotated bibliographies and literature matrices.

Example prompt:

"Review AI safety papers from 2020-2024 with non-fiction citations"

Document Drafting

Draft research papers, academic essays, or transcribe lectures into structured documents. Auto-format with proper sections, references, and academic style.

Example prompt:

"Draft research paper on climate modeling with methodology section"

Export to Word & PDF

Generate publication-ready documents exported to .docx or PDF with proper formatting, headers, footers, and pagination.

Example prompt:

"Export my research paper draft to PDF with proper citations and formatting"

Research & Business Sheets

Create analysis spreadsheets directly—no external apps. Generate formulas, pivot tables, statistical analysis, and charts for research or business data.

Example prompt:

"Analyze survey data with correlation matrix and regression analysis"

Try it now

Start with research or drafting—no setup required

Get started →

Agentic Product Protocol

Open standard for AI-to-product integration. Any business can become AI-discoverable and transactable through a simple API.

Three-step integration

1

Product Schema

Standardized JSON format for inventory, pricing, and availability

{
  "id": "...",
  "name": "...",
  "price": {...}
}
2

REST Endpoints

Standard APIs for search, ordering, and fulfillment

GET  /products
POST /orders
GET  /status/:id
3

Register

Submit your endpoint and agents start routing orders to you

Live now

Food ordering with AI

First vertical: Restaurants. Order via natural language, AI remembers your preferences, dietary restrictions, and delivery addresses.

Example conversation

👤

Order me a pizza to my home address 1, double cheese no crust, large

🤖

Pizza Hut near San Francisco

Large Double Cheese Pizza (No Crust)

Total$18.50

Here you go! Please make payment, due in 5 minutes.

100+
Restaurants
3
Cities
24/7
Autonomous

Next: ....

Make your business AI-native

Integrate the protocol and let agents discover your products

Hierarchical reasoning architecture

Three-layer neural architecture that processes information at different levels of abstraction—from low-level pattern recognition to high-level strategic planning.

Hierarchical Neural Network Architecture

Three-layer hierarchical processing

L1

Foundational Reasoning

Core cognitive operations. Handles pattern recognition, semantic understanding, and direct input-output mappings for immediate tasks.

Pattern recognitionEntity extractionSemantic parsing
L2

Integrative Processing

Cross-domain information synthesis models. Connects insights from research, data analysis, and context memory to form coherent responses.

Context integrationPattern matchingInformation fusion
L3

Executive Reasoning

Strategic planning and high-level orchestration. Breaks complex queries into subtasks, delegates to specialized agents, and synthesizes results.

Task compositionMulti-agent coordinationResult synthesis
3 Layers

Hierarchical processing levels

Independent

Each layer operates autonomously

Cascading

Information flows top-to-bottom