ArisynData

ArisynData builds data relationship intelligence for enterprise AI analytics, helping teams connect fragmented data and generate trusted insights.

Singapore&Australia Joined on Dec 2, 2025 arisyn.market@gmail.com https://www.arisyn.com

Work

CTO

ArisynData

Aug 20

Beyond SQL Accuracy: Building Evidence Chains for AI Data Agents

7 min read

ArisynData

Aug 18

The Reasoning Tax: Why AI Data Agents Waste Tokens Relearning Your Schema

#ai #llm #data #sql

6 min read

ArisynData

Aug 14

Why Every AI Agent Shouldn't Have to Rediscover Your Data Model

#ai #data #sql #llm

5 min read

ArisynData

Aug 12

Semantic Drift: The Hidden Failure Mode of Enterprise AI Analytics

#ai #semantic #data #sql

5 min read

ArisynData

Aug 10

Building AI Analysts: Why Enterprise Analytics Needs More Than BI Dashboards

#ai #data #sql #llm

3 min read

ArisynData

Aug 5

Beyond Data Lineage: Building Observability for AI-Generated Queries

#ai #data #sql #llm

3 min read

ArisynData

Aug 3

Building Data Intelligence for Reliable Enterprise AI

#ai #data #sql #llm

3 min read

ArisynData

Jul 31

Why Enterprise AI Needs Data Semantics and Relationships

3 min read

ArisynData

Jul 29

I Didn't Break Enterprise Data Models. It Exposed Their Blind Spots.

#ai #data #sql #llm

3 min read

ArisynData

Jul 27

Foreign Keys Aren't Enough: Why Enterprise AI Needs Relationship Discovery

#ai #database #data #sql

3 min read

ArisynData

Jul 13

Designing a Production-Grade Text-to-SQL Pipeline

#ai #data #llm #sql

3 min read

ArisynData

Jul 10

Enterprise Databases Were Built for Applications, Not AI

#ai #data #llm #sql

2 min read

ArisynData

Jul 8

AI Agents Don't Need More Tables. They Need Better Relationships.

#ai #data #llm #sql

2 min read

ArisynData

Jul 7

Stop Building AI Agents Like Standalone Applications

#ai #data #llm #sql

2 min read

ArisynData

Jul 3

Stop Optimizing Your Data Platform for Dashboards

#ai #datascience #sql #llm

2 min read

ArisynData

Jul 1

Building AI Agents That Can Actually Understand Enterprise Data

#ai #data #llm #sql

3 min read

ArisynData

Jun 29

We Stopped Improving Our AI Prompts. We Started Improving Our Data Instead.

5 min read

ArisynData

Jun 26

Why Text-to-SQL Breaks When the Join Path Is Not Obvious

#texttosql #ai #dataengineering #datagovernance

4 min read

ArisynData

Jun 24

Why AI Analytics Has a Knowledge Problem

#ai #sql #data

1 min read

ArisynData

Jun 22

Why AI Keeps Generating Bad SQL Even When The Schema Is Correct

#ai #data #sql

1 min read

ArisynData

Jun 17

Why AI Analytics Is Becoming a Data Infrastructure Problem

1 min read

ArisynData

Jun 15

Why Text-to-SQL Needs Join Path Context, Not Just Schema

#ai #sql #dataengineering #texttosql

3 min read

ArisynData

Jun 11

Why Text-to-SQL Needs Table Relationship Discovery Before SQL Generation

#ai #sql #data

4 min read

ArisynData

Jun 8

Designing Relationship Context for Text-to-SQL Systems

#ai #sql #database #dataengineering

5 min read

ArisynData

Jun 5

Why Text-to-SQL Needs Relationship Context, Not Just Better Prompts

#ai #sql #dataengineering #llm

3 min read

DEV Community

ArisynData

Skills/Languages

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Currently hacking on

Available for

Beyond SQL Accuracy: Building Evidence Chains for AI Data Agents

The Reasoning Tax: Why AI Data Agents Waste Tokens Relearning Your Schema

Why Every AI Agent Shouldn't Have to Rediscover Your Data Model

Semantic Drift: The Hidden Failure Mode of Enterprise AI Analytics

Building AI Analysts: Why Enterprise Analytics Needs More Than BI Dashboards

Beyond Data Lineage: Building Observability for AI-Generated Queries

Building Data Intelligence for Reliable Enterprise AI

Why Enterprise AI Needs Data Semantics and Relationships

I Didn't Break Enterprise Data Models. It Exposed Their Blind Spots.

Foreign Keys Aren't Enough: Why Enterprise AI Needs Relationship Discovery

Designing a Production-Grade Text-to-SQL Pipeline

Enterprise Databases Were Built for Applications, Not AI

AI Agents Don't Need More Tables. They Need Better Relationships.

Stop Building AI Agents Like Standalone Applications

Stop Optimizing Your Data Platform for Dashboards

Building AI Agents That Can Actually Understand Enterprise Data

We Stopped Improving Our AI Prompts. We Started Improving Our Data Instead.

Why Text-to-SQL Breaks When the Join Path Is Not Obvious

Why AI Analytics Has a Knowledge Problem

Why AI Keeps Generating Bad SQL Even When The Schema Is Correct

Why AI Analytics Is Becoming a Data Infrastructure Problem

Why Text-to-SQL Needs Join Path Context, Not Just Schema

Why Text-to-SQL Needs Table Relationship Discovery Before SQL Generation

Designing Relationship Context for Text-to-SQL Systems

Why Text-to-SQL Needs Relationship Context, Not Just Better Prompts