Built because data teams deserve better
We started Decube in Singapore after watching too many data teams spend their best hours debugging data instead of doing something useful with it.
The problem was always the same
Jatin Solanki had seen it at three different companies before founding Decube. A dashboard goes wrong. Someone raises it. The data team spends the rest of the day tracing back through pipelines, pinging people on Slack, and trying to figure out which upstream table changed and why.
The tools existed to prevent this. But they were either too expensive to justify, too complex to maintain, or built for data engineers who had three days to configure them before anything useful showed up.
Decube was built to be the thing that should have existed already — a platform that plugs into your stack, builds the lineage graph automatically, and starts surfacing quality issues before your stakeholders notice them. Context on demand, not as a six-month project.
We're based in Singapore and work with data teams across Southeast Asia and beyond. The problems are the same wherever you are: too much data, not enough trust in it, and a team that knows things could be better but can't justify the tooling cost.
Where we are today
Started in Singapore, growing globally
Engineering, product, and data operations
1 Raffles Place, One Raffles Place
Across financial services, logistics, and tech
Three things we won't compromise on
Context is everything
Data without lineage is noise. You can have the cleanest warehouse in the world and still not know whether a number can be trusted if you don't know where it came from. Context is what turns data into decisions.
Trust is earned in real time
Quality can't be an afterthought. Quarterly audits and manual spot-checks don't catch the issue that breaks your executive dashboard on a Monday morning. Monitoring needs to run continuously, or it doesn't really run.
Built for teams, not tools
Governance that nobody uses doesn't govern anything. We build features that fit into how data teams already work — not features that require the team to change how they work to fit the tool.
Want to learn more about what we're building?
Get in touch. We're happy to talk through the platform, the roadmap, or just what we've learned from working with data teams across different industries.