Predict.Engage.Immerse.
Operate personalisation from one control plane
NeuronSearchLab unifies catalog ingestion, event capture, and model oversight so teams can curate tenant-specific experiences without wrangling bespoke infrastructure.
Event ingestion lands within seconds and each request recomputes embeddings with the latest contextual filters.
Tenant-scoped credentials, OAuth client controls, and role-aware teams keep access limited to the right people.
Catalog items, user activity, and business rules converge into a shared embeddings store with built-in usage analytics.
Coordinate rollout guardrails and targeting rules from the console before promoting updates live.
How it works
Easily ingest content, stream events, get recommendations, and improve continuously, all in four simple steps.
- 1
Connect your content
Simply point us to your existing content feed or metadata - via MRSS, API, or SDK - and we’ll instantly understand your items.
- 2
Define & Stream Events
Set the key actions that matter (views, clicks, purchases) and send them through our API or SDK.
- 3
Get Recommendations
Call /recommend with optional context to instantly deliver personalised, logic-driven results.
- 4
Learn & Improve
Our SDK captures rich behavioural data to power advanced analytics and continuously sharpen recommendations in real time.
What you'll pay
Plans built for everyone
Get started for £150/month, then add power as you grow. Toggle Pro add-ons for realtime event streams, unlimited contexts, and more.
Starter
For testing and small apps
£0/month
- Short-term data storage
- High-level usage analytics
- Contexts (basic - limited to 2)
Pro
For scaling apps and growing teams
£0/month
- Advanced analytics
- Long-term data storage
- Context management
- Priority support
Enterprise
For large-scale and mission-critical workloads
Custom
- Custom solutions
- Dedicated account manager & SLAs
- Tailored data residency & compliance
What you get
Features built for personalization operators
NeuronSearchLab unifies data ingestion, context design, and release governance so product, growth, and engineering teams can steer recommendations without wrangling infrastructure.
Control every model launch from one console
Trigger tenant-specific training runs, review version metadata, and bake contextual guardrails into every release without swapping tools.
Unified signals
Bring catalog attributes, behavioural events, and guardrail logic into one signal layer with usage analytics baked in.
Tenant credential control
Issue, rotate, and revoke API keys or OAuth clients while keeping tenant boundaries tight—no infrastructure tickets required.
Responsive recommendationsNEW
Stream events in seconds, recompute embeddings per request, and kick off retraining runs when behaviour shifts.
Stand up pipelines in days
Push catalog entities and events through ready-made APIs, validate payloads in the console, and track training progress as you ramp.
Coordinate rollouts
Prepare guardrails, targeting rules, and approvals before any model goes live, all within the same workspace.
What you’ll see
Adaptive relevance in action
This sandbox simulates a personalised feed. A fake cursor hovers, clicks “Add to cart,” and favourites items, emitting lightweight and strong signals that re-rank the “For you” grid in real time. Toggle User X/Y to compare starting preferences and watch relevance update as events roll in.
Stories
View all
Contextually relevant results. Any scenario. The right context. From advertising to recommendations. Your imagination.