Solution by size
Enterprise capability without an enterprise integration team.
For organizations with real data problems and no appetite for assembling eight tools to solve them.
The problem
What teams are dealing with.
- The business has outgrown spreadsheets but cannot staff a data platform team.
- Every additional tool adds a licence, a login and someone who has to maintain the connection.
- AI is on the agenda, and the foundations are not there yet.
Why it stays unsolved
Existing approaches fragment the workflow.
- The modern data stack assumes specialists for each layer.
- Small teams end up integrating tools instead of using them.
The DooHorizon solution
DooHorizon lets a small team start with one product and grow into the rest.
FlowDoo
Status: AvailableStart by automating the data work that costs the most hours.
About FlowDooVizzDoo
Status: Public BetaAdd dashboards on the data you have just cleaned.
About VizzDooMLDoo
Status: PreviewIntroduce a first predictive model when there is a question worth predicting.
About MLDoo
Business outcomes
What this lets you do.
- Get value from the first product without buying the platform.
- Add capabilities without adding integrations.
- Keep one sign-in and one design language across tools.
- Be ready for AI because the data work is already done.
Governance and security
How it stays under control.
- One account and one session model across FlowDoo, VizzDoo and MLDoo today.
- Self-hosting is possible when data must stay in-house.
- Pricing is designed around a platform subscription that grows with use.
Start with this use case.
Start with one use case. Expand across the ecosystem.