80% Reduction in "what does this mean?" tickets
Answers come with context—descriptions, ownership, and lineage built in
New
Introducing the New Profiler - High-Fidelity Context for AI
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
Write your own tests with SQL scripts to set up monitoring specific to your needs.
Find where the incident took place and replicate events for faster resolution times.
Enable monitoring across multiple tables within sources by our one-page bulk config.
Choose which fields to monitor with 12 available test types such as null%, regex_match, cardinality etc.
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Thresholds for table tests such as Volume and Freshness are auto-detected by our system once data source is connected.
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Alerts are grouped so we don't spam you 100s of notifications. We also deliver them directly to your email or Slack.
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Always experience missing data? Check for data-diffs between any two datasets such as your staging and production tables.
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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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