Get instant data insights from across all your data, No more data silos!
							Bring any data to AI Workflows, from PostgreSQL, Snowflake, Azure SQL, Oracle, MySQL, MariaDB, MS SQL Server.
                            AI data solutions powered by Data MCP Servers: AI Data Insights, AI Transactions, and AI Integrations. AI agents preconfigured for data.
					
							
							Save Development Time, Efforts & Costs.
							Get Started With EasyManage FREE Plan. 
							
							MCP Layer Connects to API Layer, 
							REST or GraphQL, 
							Supporting Enterprise Security RBAC, Tokens.
							
									View AI Agents Tutorial  
									   
									View MCP Server Tutorial  
							
Get instant data insights from across all your data.
Implement transactions processed and managed by AI.
Build AI Integrations to Legacy Systems.
Build AI data solutions faster across your enterprise: AI Data Insights, AI Transactions, and AI Integrations. Launch Scalable and Secure APIs in REST and GraphQL.
									
									
									Enterprise Ready features Security, Logging, Caching. 
									
									
									
									
									
									Download the generated code. 
									Its production grade and fully customizable.
									No runtime Lock-in. Self-host deployments.
									
									
								EasyManage automates 80% of development.  
								Saves your teams months of recurring effort in building and maintaining.
							
							
							No Lock-In, Generated Code is Yours, Customize at will. 
							
							
1-Click Build MCP and APIs with no-code approach.
Instantly generate MCP plus REST or GraphQL APIs for any data source
PostgreSQL, MySQL, MariaDB, MS SQL Server, Azure SQL, Oracle, Snowflake.
You can use AI models (LLMs) meeting your specific security and compliance needs.
Data privacy and security is assured via RBAC. MCP Layer feeds off secure API Layer deployed with RBAC, Token Authorizations.
Features like Redis Caching, Logging, Cloud Ready (for AWS, Azure, GCP), Docker.
								
								Transform from fixed dashboards to using a dynamic solution 
								where 
								AI models can easily understand your business data and actively deliver insights.
								Try EasyManage today, It's absolutely free.
								No Credit Card Required.
								
								
BI Dashboard Has Hit a Wall
										• Traditional BI dashboards are not effectively driving business decisions and user engagement. 
										
										• Business Intelligence (BI) Dashboards often focus on past performance, potentially missing real-time insights and opportunities. 
										
										
										
• Transform from static dashboards to a solution where AI models can easily understand your business’s data and actively deliver insights.
										
• Business Intelligence shouldn't be restricted to fixed dashboards feeding on pre-defined queries to structured tables. 
Or require specialized skills for every question or take months for analysis. 
										
• Derive insights immediately on enterprise data via intuitive natural language and power of your chosen AI model.
With secure role based access (RBAC) and governance make data insights available and accessible to everyone.
										
• Free up developers and data science teams from building of numerous dashboards.
										
Data Mesh Knowledge Framework
• Feeding data to AI models in ingestible formats was a big challenge until now. Solved by EasyManage solution which
 connects to all of your data sources for structured data, wherever they live – enabling real-time insight and governance 
beyond traditional BI tools.
										
• Isolated data solutions lack in giving the crucial context needed by AI models to understand them fully.
										
										
										
 
• With Data Mesh Knowledge Framework 
- All the context from various enterprise data sources is made available to AI models.
										
• A dynamic map of your data ecosystem with business context is made available to AI models. 
Its generation is automated without needing people's time.
										
• Now AI models can understand and navigate thru full business context.
										
Enterprise Ready
Enterprise Features like Security, RBAC, Redis Caching, Logging, DevOps CI/CD, DevSecOps, Security Scans, Code Coverage SonarQube, Kafka Integration, Sidecar Docker APIs.
							
							Ask Your Data
							
"How many sales contact persons are associated with each account?"
							
"Analyze sales by geographic locations and branches this month"
							
"Which are better performing business units in terms of sales?"
							
Get answers in minutes, not days! Ask questions in natural language and get data insights. Make timely decisions with real-time data insights. No need to wait for dashboard enhancements.
Make all structured data accessible to AI models. No more data silos, analyze data holistically as a big picture. Grow business with new insights!
Use existing data infrastructure. Deploy on-presmise in your own clouds.
EasyManage helps in rapidly building AI Integrations with existing and Legacy Systems. So that Businesses can modernize their operations, gain valuable insights from, and post transactions into existing and legacy systems, without replacing them entirely!
								AI LLMs can significantly enhance e-commerce and transactions by personalization and optimization. 
								
								Enable AI Data-Driven Decisions
								
								Legacy systems hold vast amounts of valuable data. 
								AI Integrations can bring this data properly to AI Workflows.
								So that LLMs can make use of it and help businesses to make more informed decisions. 
								
								Improved Customer Experience
								
								Use AI Workflows based on customer data for personalized recommendations, 
								and relevant support, to enhance customer interactions and satisfaction.
								24/7 Customer Support with AI chats to handle customer inquiries 24/7.
								
							
								Competitive Advantage
								
								Integrate AI easily with Legacy systems and gain a competitive edge 
								by quickly adapting to changing market conditions and customer needs.
								
								
Implement transactions processed and managed by AI, such as financial transactions, order processing, cart checkouts or more. Provide enhanced efficiency and personalized experiences.
								
								Enable AI in ecommerce For
								
• Personalized product recommendations
								
• Conversational commerce and AI assistants 
								
• Reduced Cart Abandonment 
								
• AI-embedded checkout
								
• Integrate with Native checkout inside AI LLMs e.g. ChatGPT OpenAI
								
								
								
								
								Follow one of the approach of AI Tools Integrating to Legacy Systems
								
								API Integration
								
								With MCP Server which communicates with API Layer. 
								
								API Wrapper
								
								With MCP Server exposed as API Wrapper to communicate with one or more APIs. 
								
								
								
								To All Your Legacy Systems, e.g.
								
								ERP Systems
								
								Any ERP System e.g. Odoo.
								
								CRM Systems
								
								Any CRM System e.g. SugarCRM, SuiteCRM.
								
								And many more ...
								
We have built awesome features to solve MCP Server number of Tools limits and context size challenges. Build concise Tools with features like Flexible SQL-Like Querying and Data Modeling.
								MCP Server Tools For REST, GraphQL
								
								
easymanage get table data as pages
from Product table queried as 
" productId > 5 and  productType = 'Medicine' 
and productDesc containsIgnoreCase 'vitamin'  " 
sorted by " productId Desc " 
 with 1 page size 3
 
								MCP Server REST
								Nested schemas with 1:1 or 1:M
								
{
    "InventoryProduct": {
      "invId": 1,
      "invDate": "19/02/23",
      "invQty": 1050,
      "invLocation": "USA Warehouse 01",
      "Product": {
        "productId": 1,
        "productName": "Amoxicillin",
        "productCategory": "Antibiotics",
        "primarySupplier": "Lupin"
      }
    }
}
								Data Mesh Knowledge Framework.
								
								
With Data Mesh, you can use multiple database types or instances together in AI workflows, through MCP Servers.
Connect all of your data sources for structured data!
Via REST, or GraphQL
								
								
								Build Agentic Systems for your data domain. Use them in human interactive or workflow embedded modes.
								Easily Implement agentic patterns and workflows 
								that are pre-configured for interacting with your real-time data.
								You can use and mix multi-LLMs to trade off cost or latency for potentially improved task performances. 
								
									View AI Agents Tutorial  
								
Agentic Patterns
										Jumpstart development with AI Agents Building code based on 
										common patterns described in Anthropic's research paper 
										Building Effective Agents.
										The agentic system's code model agentic flows in terms of:
										
										
Multi-LLM Workflows
										
										
• Prompt-Chaining: Decomposes a task into sequential subtasks, where each step builds on previous results.
										
• Parallelization: Distributes independent subtasks across multiple LLMs for concurrent processing.
										
										
										Low-code customize the code to build AI solutions.
										
Enterprise-Grade Tooling
										
										Build AI Agents with:
										
										• Enterprise-Ready Tech Stack.
										
										• Mix LLMs for cost effective and capable solutions.
										
										• Build on framework over Spring and the JVM, making it easy to access existing enterprise functionality and capabilities.
									
										
Benefits For Businesses
										AI Agents offer benefits like increased efficiency and productivity by automating tasks, 
										enabling better decision-making through data analysis, 
										and providing cost savings. 
										
										They enhance the customer experience with personalized, 
										24/7 support and improve scalability for businesses, 
										all while reducing errors and freeing up human employees for more strategic work. 
										
Build AI Agents, Agentic Systems with MCP Server Tools, AI Ready Data and AI Integrations.
								• Generate Code and Try Out 
								• Switch Agentic Patterns 
								• Iterate steps till you get desired responses 
								
								
								→
								Get Predictable Results From AI Workflows,
								Where LLMs and tools are orchestrated
								through predefined code paths.
								
								EasyManage MCP Server For
								
								• AI-Ready Data
								• AI Integrations
								
								Low-code customize to:
								
								Use Popular MCP Tools
								
								Web search tools, productivity and
 
								development tools like GitHub.
								
								
								With Low-code customize
								
								
								Prompt Engineering
								
								
								• Define, Store, Update Prompt Templates 
								• Use substitutions for Prompt variables 
								• Use Prompt With Paramaters like Temperature 
								
								AI Tasks
								
								
								• Define AI Tasks with multiple Steps 
								• Organize Steps in agentic patterns like chain, parallel...
								• Construct each step with Prompt, Inputs, Tools 
								• Capture responses as Text or domain models 
								
								AI Context
								
								
								• Store and Use Context via Memory 
								• Use workspace 
								• Share information, responses and context within Agents, AI Tasks ecosystem 
								
								AI Agents
								
								
								• Customize Agents to work together 
								• Define Persona for Agents
								• Organize Agents in patterns like:
								• - Routing Workflow Pattern - Configure Routes
								• - Evaluator-Optimizer Pattern - Using Generator Evaluator
								• - Orchestrator-Workers Workflow Pattern - Define Roles Orchestrator, Workers 
								
No Credit Card Required.
#! Restrictions Apply
									
									For any help or support, Please email to info@easymanage.com.