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Graph of
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The Quickest Way to Build Trusted

NEXT GENERATION
AI AGENTS

Create new solution

Why is AI not widely adopted in enterprise?

ChatGPT, Claude, Gemini, and others were developed as chatbots for consumer: fast responses, integrating data from huge data training sets

Focus on solving enterprise task with predictable quality, speed is lesser consideration

AllmaGen: Managed Deep vs Shallow thinking, no hallucination (via Solution Graph)

Flexibility and adaptation, being able to adopt AI solution to new data and enterprise taks

AllmaGen: Cooperative Agent architecture automatically adapts to the new enterprise task (via Flow)

Easy path to integrating enterprise data into AI product while still providing data security

AllmaGen: Over 300 connectors with enterprise data sources and automatically built Semantic Graph accessed via role-based access control

Company Overview

Company Mission / Statement

Create a highly effective Next Generation AI Agent platform, to unlock the true potential of AI in the Enterprise

Create next generation enterprise AI agents in minutes

Agent Orchestration Framework for Enterprise

Managed Thinking AI Platform for Enterprise
3D Position Detection
AllmaGen Enterprise AI Agents

AI Agents promise: Efficiency, Cost Reduction and Revenue Growth

AI agents can deliver to enterprise major profitability and revenue growth:

  • Autonomous Agents → Employee Replacement (profitability)
  • Autonomous Agents → Qualitatively improving/creating new business functions (revenue)
  • Collaborative Agents → Employee Productivity Growth (productivity) 

 
Create and Manage Next Generation Enterprise AI Agents

Allmagen Platform Components

Intelligence Driver: Hierarchical Graph of Thoughts (HGoT) Editor

  • Organize your use case into sequence of thoughts (Graph of Thoughts)
  • Observe and edit LLM executes thought process in real time
  • Achieve accuracy, validate results and avoid hallucinations 
Components Manager: Visual App Flow Editor
  • Automatically configures and connects agents for specified use case
  • Drag and drop agents, tools, connections into app flow graph 
Enterprise Connection Manager: Semantic Knowledge Graph (SMG)
  • Provides seamless integrations for LLM to access enterprise infrastructure
  • Over 300 connectors to enterprise applications 
Virtual LLM: LLM Routing and Caching

  • Thought Caching saves money, decrease response time and increase system stability
  • Automatically plug in any LLM or Thought Cache 

 
3D Component Identification

What are
Next Generation AI Agents


EXPONENTIALLY INTELLIGENT AGENTS IMITATE HUMAN THINKING

FEATURES & CAPABILITIES

  • Hierarchical Human-Like Thinking
  • Complex Task Hierarchical Decomposition
  • Hierarchical GoT (Graph of Thoughts)
  • Validated Thinking

ADVANTAGES & RESULTS

  • Inference Accuracy
  • Solved Tasks Complexity
  • Hallucination Mitigation 

3D Position Detection
AllmaGen Typical WorkFlow

How does Allmagen address Enterprise Challenges?

Allmagen extends LLM capabilities into automated generation of trusted AI applications

  • Dramatically reduces costs and time to create complex integrated enterprise applications
  • Enable multiple target audiences such as IT professionals, data/ML scientists, and any business users to significantly increase productivity
Allmagen managed CoT thought process with thought validation eliminate “coherent nonsense” and hallucinations
  • Reliable and accurate thinking within enterprise guardrails is essential requirements for using foundational LLMs to increase user productivity and avoid potential liabilities
Allmagen generates enterprise abstraction layer - Semantic Knowledge Graph (SMG)
  • Provides seamless integrations into enterprise infrastructure for Allmagen’s applications
  • Centralises and enforces access security to enterprise data 

 
Enable enterprise to rapidly and cost effectively address any use case

Most of Enterprise Use Cases are Provided OOTB

Configurable Customer Facing Chatbot Agents for various scenarios

  • Customer Support, Sales, Product Guidance
  • Strict content/legal guardrails, no hallucinations
  • Integrated with SMG
Multiple creative writing agents including email/article/blog/white papers/reports
  • Managed CoT, deep thinking
  • Strict content validation, no hallucinations
Multiple ML and data analysis agents including revenue forecast, CRM analysis, inventory optimization, factor analysis
  • Integration with SMG
  • Strict results validation

 
3D Component Identification
3D Position Detection
AllmaGen Typical WorkFlow

Allmagen - Enterprise Use Cases

Reports, AI Document Creation

  • Focused, Accurate, and Validated Document Creation
  • Advanced “Graph of Thought”, driving/confirming User Intent.
  • Repeatable, Auditable, and Transparent processes
  • Utilize key data across the enterprise, with data audit control.
  • In line with Company Needs, Structure and Deliverables
Data Analysis, Enterprise BI
  • Rapid, Automated, and Intent Driven Reporting/Analysis
  • Utilizes Next Generation AI Agents, to map requirements (data operations, ML and visualization)
  • Real Time Data Source Connections/Orchestration
  • Automated Code Creation, Visualisation
  • Increased Quality, Reduced Costs 
Process Automation
  • Real-Time, Purpose Built Process Automation Capabilities
  • Streamlines processes with critical optimization and task/result matching
  • “Graph of Thought” ensures mapping to enterprise need
  • Bring efficiency and order to non-structured processes (with AI Agents, NLP)
  • Significant cost savings, and improved productivity/efficiency

 

Meet Our Product

Augment foundational LLMs via automated integration with enterprise data

ASSET MANAGEMENT 

Semantic Graph (SMG)

Orchestrator

Operation Flow

MANAGED AI THINKING

Validated Graph of Thoughts

MANAGED REFLEXION

Execution Flow

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