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Arisyn
Make data understood—not just accessed.

An Intelligent Entry Point for Complex Business Data

Transforming data structures, relationships, and business semantics into a unified, intelligent interface for understanding, querying, and analysis—
the Semantic Engine Platform turns enterprise data from a “silent asset” into a “conversational asset.”

Governed Semantics

Relationship Intelligence

Natural Language Understanding

Decision-Ready Insight

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SERVICES

Platform Value
From Data Access to Data Understanding

Arisyn is more than a query tool—it redefines how enterprise data connects with business.

🗣️

Bridge business language and the data layer.

No more guessing which table to query. Natural language questions are mapped to underlying data fields—delivering answers that are accurate and traceable.

🕸️

Make complex data structures understandable.

Break down data silos with relationship discovery and metadata governance—connecting data across databases, tables, and fields into a unified semantic network.

⚙️

Unify query, analysis, and governance.

From intelligent query to analytical workflows, governance is built into every step—powered by field mapping, lineage tracking, and version control.

Platform Perspective
Beyond BI. Beyond chat-based querying.

The Semantic Engine Platform unifies semantic, relational, governance, and analytical layers into a single system—bridging the gap between data foundations and business insight, and serving as the central intelligence hub for enterprise data.

Architecture Collaboration
Intalink + Arisyn:Where Data Foundations Meet Intelligent Systems

Intalink establishes the foundation of data relationships and metadata, while Arisyn delivers the intelligent interface for query and analysis—together creating an end-to-end loop from data foundations to business insight.

INTALINK  Data Relationship Layer

🗄️

Multi-Source Data Connectivity

DB / DW / Lake

🕸️

Relationship Network Modeling

Tables / Fields / Tags

🔄

Lineage Tracking Engine

Impact / Upstream/ Downstream

📋

Metadata Management

Description /

Version / Tags

🔍

Relationship Discovery Algorithms

Cross-Source / Semantic Similarity

Semantic Engine Application Layer

🗣️

Semantic Understanding Engine

Intent / Context

💬

Intelligent Query Interface

Natural Language / SQL

🛡️

Semantic Governance Platform

Mapping /

Version / Audit

⚙️

Analysis Orchestration Engine

Workflow /

Metrics / Scheduling

📊

Insight Delivery Layer

Reports / Alerts / APIs

User Layer · End-to-End Business Loop

💬

Natural

Language Query

🧠

Semantic

Understanding

Mapping

🗺️

Relationship-Aware Query Path

📊

Cross-Source Data Integration

💡

Explainable Insight Output

🎯

Decision Support

Use Cases
Intelligent data scenarios across
core business domains

The Semantic Engine Platform is not limited to any specific industry. It is built for any organization that relies on data-driven decision making—from supply chain and finance to sales and operations.

🚚

01

Inventory & Supply Chain Analytics

Query inventory levels, turnover rates, and supplier performance in natural language—quickly identify anomalies and support procurement decisions.

📈

02

Sales & Business Q&A

From regional performance to monthly targets, ask in natural language and get answers grounded in multi-table relationships—complete with data lineage for full transparency and trust.

💰

03

Financial Drill-Through Analysis

Connect financial ledgers with operational systems through a semantic layer that links accounts to business metrics—enabling unified, natural language queries across finance and operations.

🔗

04

Cross-Domain Business Insight

Reveal hidden relationships across systems and business domains. Replace manual mapping with automated discovery—making complex data easier to understand and navigate.

🎛️

05

Executive Intelligence & Q&A

A natural language interface for leadership teams to query KPIs, trends, and anomalies—without relying on BI specialists.

🛡️

06

Knowledge Enrichment & Governance Collaboration

The semantic governance platform enables the execution of data standards, while field mapping and lineage tracking make data quality issues traceable and diagnosable.

Enterprise-Grade Foundation
Built for enterprise environments, at platform scale

From access control to audit logging, from multi-tenant isolation to high-availability architecture, the Semantic Engine Platform is designed to meet enterprise standards at every layer.

🔐

Access Control & Multi-Tenancy

Fine-grained data access control at the row and column level, with multi-tenant isolation and seamless integration with enterprise SSO systems.

Multi-Source Integration Framework

Supports leading data engines including MySQL, PostgreSQL, ClickHouse, StarRocks, and Doris.

📝

Audit & Version Control

Comprehensive audit logs, full change history tracking, and semantic version management—supporting compliance and governance at scale.

🧩

High-Availability Architecture

Built on distributed deployment with automatic failover and horizontal scaling—ensuring reliability and enterprise-grade SLA.

📐

Explainable & Traceable

Every query result is fully traceable—back to its data sources, lineage paths, and underlying analytical logic.

🏗️

Extensible Semantic Layer

The semantic model supports dynamic expansion and incremental updates—allowing the platform to evolve continuously without downtime.

🔌

Audit & Version Control

Comprehensive audit logs, full change history tracking, and semantic version management—supporting compliance and governance at scale.

🌐

Local Ecosystem &
Compliance Support

Fully compatible with local operating systems, databases, and middleware—meeting regulatory and compliance requirements.

Get Started
From data relationships to semantic understanding.
From intelligent queries to business insight.

Build a data intelligence entry point that works in the real world—where every business question is answered with intelligence that is trusted, explainable, and traceable.

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