Find the right data in seconds! No SQL. No tickets. No guesswork. Only trusted data.
Starts from $175/user/month
Kindly fill up the following to try out our sandbox experience. We will get back to you at the earliest.
Trusty AI connects to your data stack—schemas, lineage, ownership, descriptions—and turns it into answers you can trust.
Trusty AI reads your metadata from Snowflake, BigQuery, dbt, Databricks, and more—without moving your data. Setup takes minutes, not months.
Ask questions the way you think. No queries, no syntax. Just type your question and Trusty AI understands what you’re looking for—intent, not keywords.
Every answer comes with ownership, freshness, data quality, and lineage—so you know exactly what you’re looking at and whether to trust it.
Trusty AI turns your existing data stack into a source of fast, trusted answers—complete with context, ownership, and lineage.
Find the right data in seconds—not through Slack threads
Answers come with context—descriptions, ownership, and lineage built in
Works with your existing metadata—no manual cataloging required
Conversational, self-service analytics from your governed catalog, with the context to trust every answer.
Ask questions about your data in plain English. No SQL, no tickets.
TrustyAI turns your question into accurate SQL against your own data.
Find the right table, column, or metric across your entire stack.
Start from curated, domain-specific questions built for your team.
Every answer carries ownership, freshness, quality, and lineage.
Auto-generate first-draft data descriptions from schema and lineage.
Anyone who needs answers from data, and the teams who keep that data trustworthy.
Get answers without waiting on the data team or writing a line of SQL.
Deflect ad-hoc data requests and let people self-serve, safely.
Scale trusted, governed self-service analytics across the organization.
Trace every answer back to its governed, documented source.
Built for regulated, data heavy teams that need answers fast, without losing control of who owns the data or whether it can be trusted.
Give analysts governed, compliant self-serve answers they can trust.
Answers grounded in governed metadata
No SQL needed for risk and finance queries
Every answer backed by lineage and ownership
Sensitive data stays controlled and compliant
Let actuarial, risk, and claims teams find and trust data fast.
Ask in plain English, no tickets to the data team
Answers checked against quality and freshness
Definitions consistent across every team
Access controlled by role
Help teams navigate sprawling data without raising a ticket.
Natural language questions across every source
Trusted answers from governed metadata
No SQL, no waiting on a central team
Answers you can trace back to the source
Scale trusted self-service analytics across many teams and sources.
Ask your data in plain English
Answers grounded in ownership, lineage, and quality
Consistent definitions across the whole business
Governed access so the right people see the right data
Trusted by organizations operating under OJK, BNM, MAS, and APRA regulatory frameworks across APAC.
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Decube runs on a metadata-only architecture and meets the standards regulated teams require.
Safeguarding your information with industry-leading standards.
Ensuring your information is protected with the highest level of integrity.
Ensuring the confidentiality and integrity of your healthcare data.
Protecting personal data with robust privacy and security measures.
Your data is encrypted in motion with TLS and at rest with AES-256.
Rated 4.6/5 on
Automation of Monitors
Data Lineage
Their data contract module is amazing which virtualises and runs monitors.
Big fan of their UI/UX, it simple but managing all the complex task.
My team uses on a daily basis.
Seamless integration with all the data connectors. We also liked the new dbt-core connector directly integrated with Object storage.
Automated Column-Level lineage
Perfect blend of Data Catalog and Data Observability modules.
Business users are able to understand if the reports /dashboard have issues / incidents.
Personally liked the monitors by segment since we have mulitple business it provides incidents breakdown by attributes.
UX and UI, features, flexibility and excellent customer service. People like Manoj Matharu took the time to understand my business and data needs before trying to solution.
One of the best-designed data products. Our complete data infra is getting observed and governed by decube. My fav is the lineage feature which showcases the complete data flow across the components.
What I appreciate most about Decube is its intuitive design and the way it supports maintaining data trust. The platform allows for straightforward monitoring of data quality, making it easier to detect issues early on.One of the most valuable aspects is the transparency it brings to our data pipelines, which also streamlines collaboration among teams. The greatest benefit is the assurance that our data remains accurate, consistent, and prepared for decision-making, all without the need to spend countless hours troubleshooting.
Decube is packaged of solution for us. We were struggling to find one good tool in which we can intigrated with our existing data stack we are using mysql. As a DevOps we used to write crond jobs to check data quality but when we adapt this tool the work and quality both are improved. I highly recommend !
Starter
Get started with core data observability and governance
Growth
Scale visibility, monitoring, and collaboration across your team
Enterprise
Advanced control, security, and scale for complex data environments
No. Trusty AI only uses your metadata — table names, column names, descriptions, and lineage relationships. Your actual data never moves. Decube is deployed within your cloud environment (AWS, Azure, or GCP) and we support fully private deployments for enterprise customers.
Most teams are running within a day. You connect your data sources (Snowflake, BigQuery, dbt, Databricks, etc.), and Trusty AI begins indexing your metadata automatically. There's no manual data entry or cataloging required before you get value — the AI generates first-draft descriptions from your existing schema and lineage.
Yes — that's exactly where it helps most. Trusty AI infers context from column names, table relationships, lineage, and usage patterns to generate candidate descriptions. Your data team reviews and approves them, so the catalog improves over time rather than requiring upfront documentation effort.
Trusty AI is a capability within the Decube platform. It works alongside Data Observability, Column-level Lineage, and Governance — so when you search for a table, you can immediately see its quality status, freshness, and upstream dependencies, all in one place. It's AI on top of a complete data context layer.
Trusty AI is powered by AWS Bedrock with an OpenAI-compatible API layer, giving enterprise customers flexibility on model selection. We support deployments that meet financial services and regulated industry security requirements, including private VPC deployment options.
Yes. Decube is SOC 2 Type II certified. We work with financial services teams across Southeast Asia and Australia, including environments with APRA, MAS, OJK, and BNM compliance requirements. Private cloud deployment, data residency controls, and role-based access are all supported. Talk to us about your specific regulatory context.
Book a demo to see how Trusty AI turns your data stack into a reliable source of answers.
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Rated 4.6/5 on
Automation of Monitors
Data Lineage
Their data contract module is amazing which virtualises and runs monitors.
Big fan of their UI/UX, it simple but managing all the complex task.
My team uses on a daily basis.
Seamless integration with all the data connectors. We also liked the new dbt-core connector directly integrated with Object storage.
Automated Column-Level lineage
Perfect blend of Data Catalog and Data Observability modules.
Business users are able to understand if the reports /dashboard have issues / incidents.
Personally liked the monitors by segment since we have mulitple business it provides incidents breakdown by attributes.
UX and UI, features, flexibility and excellent customer service. People like Manoj Matharu took the time to understand my business and data needs before trying to solution.
One of the best-designed data products. Our complete data infra is getting observed and governed by decube. My fav is the lineage feature which showcases the complete data flow across the components.
What I appreciate most about Decube is its intuitive design and the way it supports maintaining data trust. The platform allows for straightforward monitoring of data quality, making it easier to detect issues early on.One of the most valuable aspects is the transparency it brings to our data pipelines, which also streamlines collaboration among teams. The greatest benefit is the assurance that our data remains accurate, consistent, and prepared for decision-making, all without the need to spend countless hours troubleshooting.
Decube is packaged of solution for us. We were struggling to find one good tool in which we can intigrated with our existing data stack we are using mysql. As a DevOps we used to write crond jobs to check data quality but when we adapt this tool the work and quality both are improved. I highly recommend !
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