Singapore Startup Decube Launches Trusty AI to Simplify Enterprise Data Queries

Singapore-based startup Decube has unveiled Trusty AI, a new AI-powered data assistant designed for enterprise teams.

The tool integrates seamlessly into Decube's Data Trust platform, helping businesses query complex data without technical expertise.

Unlocking Data Insights with Natural Language

Trusty AI draws on lineage graphs, data quality monitors, and metadata to answer questions about dependencies and compliance in plain English.

It connects directly to data stacks like Snowflake, BigQuery, and dbt, ensuring quick setup and secure, in-environment operations without data movement.

Background and Recent Momentum

Founded to address data reliability in the AI era, Decube combines observability, cataloging, and governance features tailored for regulated industries.

The launch follows a US$3 million funding round in January 2026, led by Taiwania Hive Ventures with participation from Iterative and 500 Global.

Industry Context and Implications

As enterprises race to deploy AI, poor data trust leads to flawed models, but tools like Trusty AI build accountability through traceable insights.

In Singapore's thriving tech ecosystem, backed by government AI initiatives, Decube positions the city-state as a leader in data governance innovation.

This non-obvious angle highlights how such platforms aid compliance in finance and healthcare amid tightening global regulations like the EU AI Act.

For everyday businesses, Trusty AI means faster decisions from trusted data, reducing silos and empowering non-experts to drive growth.

Looking ahead, with expanded funding, Decube eyes APAC and global markets, potentially reshaping how companies prepare data for future AI advancements.