AI Features Inside Your Product
A model inside the interface: search, hints, generation, parsing.
04 05 service 4 of 5 in Automation & AI
What’s included
- Semantic search that understands intent, not keywords
- Generated descriptions, summaries and replies
- Classification, tagging and moderation
- Personalised recommendations
- Model routing to keep costs predictable
- Guardrails, evaluation and logging so quality is measured, not assumed
- Private or on-prem models when data can't leave
Who it’s for
- SaaS products competing against rivals who already shipped AI
- Marketplaces and catalogues where search is the main funnel
- Products sitting on data they've never turned into a feature