Arisyn Platform Demo

Step 1: Platform Value 1 / 5

Turn business questions into data answers.

Most AI tools guess SQL. Arisyn understands real data relationships. Arisyn goes beyond natural-language queries by discovering how tables, fields, and systems actually connect—then generating SQL from real context, not assumptions.

Multi-source data understanding × automated relationship discovery × semantic governance × intelligent analytics
Arisyn Arisyn
Semantic Engine
Multi-source ingestionFast multi-DB connectivity
Automated relationship discoveryAuto-detect cross-table paths
Business semantic governanceBusiness language maps to data
Natural-language analyticsOne prompt to results

Connect sources, profile metadata, and build cross-database relationships in under a minute.

Data source onboarding
Select at least two data sources, then click “Start Smart Discovery.”

MySQL

Orders, inventory, and customer data

PostgreSQL

Analytics and reporting data

Oracle

Finance and invoice data

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Connected sources
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Discovered tables
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Extracted fields
Waiting to start data onboarding
Table schemas and fields will be detected automatically
Context for relationship discovery will be generated automatically
After onboarding, continue to the relationship discovery step
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Intalink handles automatic data relationship discovery
Instead of relying on assumptions, Intalink automatically discovers how your data is actually connected. It identifies join paths, cross-database relationships, naming mappings, and value-level links—so every query is grounded in real structure.”

sales_order

Orders fact table

customer_master

Customer master data

warehouse_master

Warehouse and region

sales_invoice_record

Invoice records

product_catalog

Product master data

Semantic governance helps the platform truly understand business intent.

Fields, terms, metrics, and dimensions are governed first—so business questions can be interpreted accurately later.

Semantic mapping detection
Click the button to start detection. Once complete, use the tags to inspect different views.
khmcCustomer field
spbmProduct code
warehouse_codeWarehouse ID
stat_dateAnalysis date
invoice_amountAmount field
Customer nameBusiness semantic
Product codeBusiness semantic
WarehouseBusiness dimension
Reporting dateBusiness dimension
Invoice amountBusiness metric
Warehouse inventory balance
Regional sales revenue
Customer invoice amount
Click a tag to switch views
Semantic mapping results
View the full mapping process, keywords, metrics, and governance details.
Keyword extraction
Waiting to start detection
Intent detection
Waiting to start detection
Metric / dimension mapping
Waiting to start detection
Governance note
Waiting to start detection
Semantic governance is not just about what can be asked now. It is about what can be reused, extended, and accumulated over time. That is why the platform is not only easy to use, but also built to evolve.

One prompt. Trusted results.

Intent detection, semantic matching, candidate table selection, relationship path discovery, SQL generation, and result summarization are orchestrated automatically. The relationship context from Intalink directly determines whether SQL can join correctly and return usable results.

Choose a question and generate the result

Regional sales analysis

Show sales revenue by region for the last 30 days

Inventory lookup

Show inventory balance by warehouse for product code PRD-00005

Anomaly trend analysis

What’s driving the unusual sales swings in the East region over the past three months?

Prompt
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Intent detection
Quickly identify the question goal and analysis scope
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Term and semantic matching
Match business metrics, dimensions, and time filters
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Candidate table selection
Automatically identify relevant tables
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Relationship path discovery
Automatically choose the best join path
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SQL generation and validation
Produce executable query statements
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Result summarization and visualization
Generate charts and a conclusion summary
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With Intalink supportSQL is valid and executable
Auto-generated SQLWaiting to generate

            

          


          

            
Without Intalink, the model is guessingSQL is incorrect

            

              
Auto-generated SQLWaiting to generate



            

          


          

            
With Intalink
Intalink provides the relationship backbone, ensuring the generated SQL is correct.

            
Without Intalink
The comparison result will appear after the SQL in the “With Intalink” panel finishes generating.

          


          
Ready. Waiting to generate results.


          

            
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East

            
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North

            
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South

            
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west

          

        

      

    


    

      

        
Complex analysis workflows extend the platform from query engine to analysis hub.

        
Arisyn does not stop at answering questions. It executes full analytical workflows—including parameter extraction, path selection, data querying, chart generation, and insight generation—automatically.

      


      

        

          

            

              
Automated analysis flow

              
Once you click the button, workflow nodes and analysis tasks execute step by step.

            

            
          


          

            
              
                
                  
                  
                  
                
              
              
              
              
              
              
              
              
            
            
Parameter extraction
Identify conditions and scope

            
Path selection
Auto-select flow

            
Data query
Fetch fact data

            
Subflow execution
Reuse analytical capability

            
Chart generation
Build visual output

            
Conclusion summary
Deliver analytical outcome

          


          

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Analysis tasks

          
Scroll up and down to view the full orchestration flow.

          

            
Potential enterprise customer analysis
Identify high-value active customers from the last six months
Pending

            
Inventory Top 5 share analysis
Run Top-N structural analysis after aggregating by warehouse
Pending

            
Cross-region sales trend analysis
Summarize YoY and MoM comparisons across dimensions
Pending

            
Invoice anomaly screening
Detect anomalies in status, amount, and invoice code
Pending

            
Fulfillment chain health check
Analyze linkages across orders, warehousing, and invoices
Pending

            
Inventory structure change analysis
Track month-over-month changes in Top-N share
Pending

            
Summary output
Automatically generate key findings and conclusions
Pending