@arisyn

Arisyn

@arisynSingapore&AustraliaJoined June 2026

Connected data intelligence for enterprise AI and analytics.

About

Arisyn helps enterprises discover trusted relationships across fragmented data, powering reliable AI analytics, semantic querying, NL2SQL, and connected data applications.

Available for

Open to discussions on enterprise data, semantic layers, NL2SQL, RAG, MCP tools, data relationship discovery, and SaaS partnerships.

Arisyn's blogs

ArisynData Blogarisyn.hashnode.dev32 posts

Building Reliable Data Context for Multi-Step AI Agents

Why semantic meaning, relationship evidence, and analytical grain must survive every step of an AI workflow. An enterprise AI agent can now do more than generate a SQL query. It can retrieve data, cal

4d ago · 7 min readarisyn.hashnode.dev

From Data Permissions to Answer Permissions: Governing AI Analytics

Traditional data security controls what users can read. AI analytics also needs to consider what users can derive. Imagine a user who cannot access: employee.salary But the same user can access: depa

1Sep 10 · 9 min readarisyn.hashnode.dev

From Schema to Business Understanding: Bootstrapping an Enterprise Data Agent

A database connection makes an AI agent data-aware. It does not make it business-aware. Connect a new data agent to an enterprise database and it can quickly discover: Tables Columns Data Types Primar

1Sep 7 · 10 min readarisyn.hashnode.dev

7 Failure-Path Tests Every Enterprise Text-to-SQL System Should Pass

If your Text-to-SQL benchmark only tests clean questions against clean schemas, you are measuring the demo—not the production system. Text-to-SQL has improved quickly. Give a modern system a well-defi

Sep 2 · 10 min readarisyn.hashnode.dev

When Should a Data Agent Ask a Clarifying Question?

A production Text-to-SQL agent should not generate SQL simply because it can interpret a question. It should first decide whether the business intent is clear enough to query safely. Consider: Show m

Aug 26 · 11 min readarisyn.hashnode.dev

Arisyn

About

Available for

Arisyn's blogs

Building Reliable Data Context for Multi-Step AI Agents

From Data Permissions to Answer Permissions: Governing AI Analytics

From Schema to Business Understanding: Bootstrapping an Enterprise Data Agent

7 Failure-Path Tests Every Enterprise Text-to-SQL System Should Pass

When Should a Data Agent Ask a Clarifying Question?

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Arisyn

About

Available for

Arisyn's blogs

Building Reliable Data Context for Multi-Step AI Agents

From Data Permissions to Answer Permissions: Governing AI Analytics

From Schema to Business Understanding: Bootstrapping an Enterprise Data Agent

7 Failure-Path Tests Every Enterprise Text-to-SQL System Should Pass

When Should a Data Agent Ask a Clarifying Question?