RECOMMENDATIONS · PRICING
How much does recommendations development cost?
Recommendation and semantic-search engines are priced per project — cost depends on data readiness, the conversion objective you tune for, and the scale you serve at sub-50ms. There is no flat figure. Share your scope and budget and we quote it exactly.
Reviewed by Mohammed Affaan Khan, GenAI & Agentic AI Engineer · Updated July 2026
Straight answer: The differentiator is not the algorithm — it is what you optimise for. Ranking to booking and verified-attendance events instead of clicks is where revenue is won, and it depends entirely on the quality of your event data.
Ways teams engage us
Scoped to what you actually need — pick the closest fit, and we price it around your budget.
Core
Ranking or search on a single surface
- · One ranking model
- · Vector retrieval
- · Baseline evaluation
Tuned
Conversion-optimised personalization
- · Conversion-weighted models
- · Semantic NL search
- · Full MLOps pipeline
Scale
High-volume, low-latency serving
- · Sub-50ms at scale
- · Continuous retraining
- · Registry & monitoring
What drives the cost
Data readiness
Clean, labelled funnel and event data makes training fast; assembling it from scratch is often the real work.
Objective
Optimising for booking or revenue rather than clicks requires conversion-weighted training and evaluation.
Latency & scale
Sub-50ms retrieval at high query volume needs a real vector-serving stack.
Search interface
Natural-language semantic search adds embedding and query-understanding layers.
Running costs to budget for
Beyond the build, budget for model retraining, embedding refreshes and vector-serving infrastructure — scaling with catalogue size and query volume.
Pricing questions
How much does a recommendation engine cost?
It depends mostly on how ready your event data is and the scale and latency you need. There is no flat price — share your data and budget and we quote it precisely.
What makes it worth the investment?
Ranking tuned to bookings and revenue — not clicks — turns browsing into buying. The value comes from optimising the right objective on your real funnel, which we scope with you.
Do we need clean data first?
Cleaner data lowers effort and lifts accuracy, but assembling and labelling funnel data is something we handle as part of the build when it is not ready. Tell us your data state and budget.
Tell us your budget — get an exact quote
Share your scope and the budget you're working with. We'll tell you honestly what it takes to build recommendations well within it — and reply within one business day.