Getting started
Live in days, not months
NeuronSearchLab is built for fast, low-friction deployment. You do not need a data science team or a months-long integration project. Here is how it works from signup to live.
01
Create your account
Choose the plan that matches your first rollout. Starter covers a focused production launch, Basic adds more surfaces and team access, and Pro brings in experimentation and richer analytics.
02
Connect your catalogue
Push your product, content, or item library to NeuronSearchLab using our ready-made APIs. Whether you have a hundred products or a million articles, the same integration pattern handles it. There is no custom scaffolding to build.
03
Capture user behaviour
Send lightweight signals — views, clicks, purchases, saves — as your users interact with your platform. NeuronSearchLab validates and stores these events automatically. No custom data pipeline required.
04
Go live with recommendations
Trigger your first training run from the console and start serving personalised recommendations via a single API call. Your engineers integrate it like any other API. Most teams are live within a few days of starting.
Compare plans before you subscribe
The signup flow shows the same usage, team access, and product capabilities listed here, so you can choose the right fit before confirming payment.
Starter
£150/month
Up to 10k monthly requests
10k recommendation requests included
Basic
£350/month
Up to 25k monthly requests
25k recommendation requests included
Pro
Most popular£1200/month
Up to 500k monthly requests
500k recommendation requests included
Enterprise
Custom
1M+ monthly requests
1M+ recommendation requests included
Common questions
Answers to what decision makers and product teams ask before getting started.
Do I need a machine learning team?
No. NeuronSearchLab handles model training, ranking, and personalisation automatically. Your team integrates an API — the ML runs in the background.
How long does it take to go live?
Most teams go from signup to serving live recommendations within a week. The speed depends on how quickly your engineers can connect the data feed and integrate the recommendation API into your product.
What if my catalogue is small?
Recommendation engines work at any scale. Even small catalogues benefit from personalisation — the engine learns what each user prefers and surfaces the most relevant items from what is available.
What data do I need to provide?
Your item catalogue (products, articles, or content) and user interaction events (clicks, views, purchases). That is the core of it. Richer metadata improves results, but is not required to start.
Can I try it before committing?
The Starter plan is the lowest-commitment paid path at £150/month with 10k included monthly requests. If you need a walkthrough before subscribing, book a demo and we will map the right plan with you.
Start today
Starter includes the essentials for a production launch and 10k monthly recommendation requests. Upgrade when you need more scale, experimentation, or support.
Looking for technical detail? Read the documentation or explore platform features. Not sure if you need this? Start here.