Solution · Product AI
AI search, recommendations and support inside your live product.
For marketplaces, SaaS products and apps adding AI to something that is already live.
How it works
AI inside your product, end to end.
- Already yours
- We build
- 01
Your product
Web or mobile, already live
- 02
AI feature
Search, recommendations, support
- 03
Evals
Agreed before launch
- 04
Monitoring
Cost, latency, failures
- 05
Your users
In the flow they already use
Capabilities
Five jobs it handles.
- 01Product search and recommendations
- 02Automatic translations
- 03Support assistants
- 04Summaries over live data
- 05Evals and monitoring for each feature
Shipped work
Work you can open.
Built by Sortup or one of our co-founders, as labelled.
Co-founder project · Analytics
ZenDash case study
Recommendations and summaries over large, changing data, without RAG.
FAQ
Questions about this one.
Do you need to rebuild our product?
No. We add features to your codebase, through your reviews.
Which models do you use?
The ones you choose: OpenAI, Anthropic, Google or open weights.
What if our AI feature is already live?
Start with a Production Audit: five days to measure cost, latency and failures before we change anything.
Start with a 5‑day Production Audit?
No pitch deck. An engineer, and a straight answer.
- Hours
- We work yours, in the GCC, the UK and EU or the US
- NDA
- We sign yours before the first call
- IP
- You own the code from the first commit