Opens up new horizons with

Block-GPT

Opens up new horizons with Block-GPT

Empowering AI with Blockchain for Tomorrow’s Innovations

Empowering AI with Blockchain for Tomorrow's Innovations

Block-GPT is an Automated AI layer for seamless software upgrades in an isolated environment that integrates Blockchain for enhanced security and traceability.

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Block-GPT is an Automated AI layer for seamless software upgrades in an isolated environment that integrates Blockchain for enhanced security and traceability.

Key Highlights

  • Block-GPT is an AI-driven platform that transforms the microservices development lifecycle.

  • It delivers complete automation in development, deployment and maintenance.

  • Real-time editing, AI-driven error correction, continuous improvements, and multi-language support.

  • Achieves significant cost and time savings.

  • Integrates AI and blockchain for unprecedented security and reliability.

AI & Blockchain-Driven

AI-Powered Automation

End-to-end microservice development, Automated testing and deployment & Self-updating documentation

Blockchain Integration

An advanced rating system that evaluates and rewards user contributions based on quality and impact, our platform fosters an active, collaborative, and high-value community.
Solution

Key Benefits

01

Full Automation

From microservice development to deployment and maintenance.

02

Evolving Knowledge Base

Continuously updated documentation, 

code snippets, and architectural blueprints.

03

Automatic Code Generation

Code, tests, and documentation generated on the fly.

04

Containerized Deployment

Rapid deployment and isolated testing through Docker.

05

Automated

Automated testing, error correction, real-time service visualization, multi-language support.

06

Advanced Features

Real-time editing, AI-driven error correction, continuous improvements, and multi-language support..

Versatile Applications for Maximum Impact

Designed to Adapt Across Industries

Healthcare

AI-driven diagnosis and personalized treatment recommendations.

Efficient patient data management and predictive analytics.

Finance

Fraud detection, risk assessment, and automated trading.

Enhanced customer support through AI-powered chatbots.

E-commerce

Personalized recommendations and dynamic pricing.

Streamlined logistics and inventory management.

Education

AI-based adaptive learning platforms.

Real-time language translation and virtual tutoring.

Business

Quantifiable Advantages

Time savings
80%
Reducing costs
75%
Resource Optimization
60%
Downtime reduced
50%
Operational risk reduction
50%
Improving expertise
45%
Technical

Quantifiable Advantages

Planning
100 %
Analysis
100 %
Design
100 %
Coding
100 %
Testing
100 %
Deployment
100 %
Maintenance
100 %
Block-GPT

Technical Architecture

  • Front-End & UI Layer

    Web control panel Visual dashboards Code editors

  • AI Backend

    NLP processing Code generation Testing automation

  • Integration Layer

    API management System connectors Data pipelines

Key Avantages

Differentiation of Block-GPT

True end-to-end AI automation

Streamlined development, testing, and deployment.

Smart Microservices Generations

Automated creation of interconnected services

Deep Customization

Tailor templates, quotas, and configurations

Seamless Integration

Compatible with existing infrastructures

Continuous Improvement

Automated testing, real-time correction, multi-language support.

Front-End & User Interface

Core Generation Engine (AI Backend)

Orchestration & Integration

Microservice Management & Deployment

Monitoring, Logging, and Analytics

User Management & Security

Core Generation Engine

Natural Language Processing (NLP) Models

Image/Audio Processing Pipelines

Custom Rules Engine

Template-Based Code Creation

Multi-Attempt Generation Strategy

Parallel Processing Capabilities

Input Sources & Processing

Text-based Generation via NLP

Image-based Generation with OCR

Audio Input Processing

API Integration Instructions

Template-based Generation

Existing Code Import

Integration Capabilities

Enterprise System Integration

Inter-Microservice Communication

REST/gRPC Endpoints

Message Queues

Event Buses

Progressive System Building

Frontend & Backend Generation

Frontend

 Web Pages

 Interactive Charts

 UI Components

Backend

 REST APIs

 GraphQL Endpoints

Automated Testing Suite

Port Testing

Log Analysis

Unit Testing

Functional Testing

Quality Verification

Performance Testing

Containerization & Deployment

Automated Docker Containerization

Custom Deployment Options

Multi-Language Support

Cloud / On-Premises Deployment

Blue-Green Deployments

Canary Releases

Monitoring & Analytics

Real-time Service Status

Resource Usage Tracking

Cost Management

Performance Metrics

Error Rate Monitoring

Dependency Visualization

Development Environment

Embedded Visual Studio Server

Source Code Editing

Terminal Access

Git Integration

SSH Capabilities

Version Control

Security Features

Secure API Key Management

OAuth/JWT Authentication

Role-based Access Control

Resource Access Control

TLS/SSL Encryption

Container Image Scanning

Documentation & Knowledge Base

Automatic Documentation Generation

API Specifications

Architectural Diagrams

Usage Examples

Intelligent Filtering

Continuous Updates

Configuration Management

Centralized Configuration Store

Environment Variables

Secrets Management

Parameter Control

Role-based Access

Version Control

Cost & Resource Management

Usage Tracking

Quota Management

Budget Controls

Alert Systems

Resource Optimization

Cost Reporting

Operational Workflow

How it works

  • Step 1

    Pre Processing

    AI assesses current software environment and identifies upgrade needs

  • Step 2

    Decomposition

    Decomposes upgrade tasks into micro-tasks.

  • Step 3

    Execution & Test

    Executes and tests each task automatically

  • Step 4

    Deployment

    Consolidates and deploys the upgraded system with minimal downtime

Technical Backbone

Containerization

 Docker for scalable deployment

Orchestration

 Kubernetes for efficient management

Data Flow

 Data Flow​RabbitMQ for reliable data handling

Programming Languages

 Python and JavaScript for robust development

Automated Testing

 Ensures quality and reliability

Benefits

Reduces costs by more than

100 %

Cuts downtime by

100 %

Features

Independent AI layer for automated upgrades

Advanced visualizations and analytics

Real-time notifications and automatic transactions

AI-driven testing and deployment

Use of public and private LLMs for secure data processing

From Foundations

Roadmap

Core product launch, pilot feedback, foundational stability.

  • 2025
2025
2026

Client expansion, performance optimization, feature enhancements

  • 2026

Advanced AI capabilities, 5000+ clients, significant downtime/cost reductions.

  • 2027
2027
2028

Market leadership, strategic partnerships, specialized modules

  • 2028

V1: Establish a solid foundation with a fully functional initial version

  • 2024
  • Completion of 2 pilot projects with ERP systems.
  • Initial customer feedback and iterative improvements.
2024
2025

V2: Enhance functionality and scale the product to more users:

  • 2025
  • Expanded to 50+ clients, primarily in tech-heavy industries.
  • Implementation of feedback from V1 to refine the product.

V3: Integrate advanced AI features and expand market reach

  • 2026
  • Successful onboarding of 100+ clients.
  • Significant reduction in downtime and upgrade costs for clients.
2026
2027

V4: Solidify market leadership and introduce groundbreaking innovations

  • 2027
  • Dominant presence in the AI-driven software upgrade market.
  • Formation of strategic partnerships with major industry players.
  • Introduction of new revenue streams through specialized modules and services.

Beyond 2027 Future Expansions

  • After 2027

Continue innovating and expanding to maintain a competitive edge and meet evolving market demands

After 2027

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This is a staging environment