← All comparisons
Comparison
Ubuntu Online vs In-house build
If you have AI engineers and a 12-18 month runway, you should build in-house. If you don't, the math is on our side.
| Dimension | Ubuntu Online | In-house build |
|---|---|---|
| Time to first production system | 6-12 weeks | 9-18 months |
| Eval infrastructure | Built in | You build it |
| MLOps for non-ML orgs | Bundled | Hire for it |
| Code & model ownership | 100% yours after handover | Yours |
| Operate phase | Optional ongoing support | Your team alone |
| Best for | First production AI | Nth production AI |
When to pick In-house build
You have a senior ML team, internal MLOps and eval infrastructure already in place, and the patience for an 18-month build. The system is core IP you must own end-to-end.
When to pick us
You need production AI in weeks, your team is good but not specialized in AI infrastructure, and you'd rather buy the methodology now and own the system after.
The closer
Build the AI you'd be proud to own.
Thirty minutes to talk through your stack, your data, and the AI opportunity you care about most. No pitch deck. No sales theatre.
Ubuntu Online · Nairobi · 2026