Predict.Engage.Immerse.
The engine behind your best results
From ranking to re-ranking, NeuronSearchLab blends vector retrieval with graph signals and bandits to maximise engagement while respecting constraints.
Online learning updates parameters with every event; drift-aware and cold-start ready.
PII minimisation, regional data residency, and built-in consent flows.
Mix embeddings, graph edges, context features, and constraints in one API.
Ship A/Bs and bandits with guardrails; attribute lift to changes automatically.
How it works
Easily ingest content, stream events, get recommendations, and improve continuously, all in four simple steps.
- 1
Ingest Your Content
Easily load your catalogue, metadata, and embeddings so we understand your items from day one.
- 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 exploration & experimentation
From ingestion to live recommendations, NeuronSearchLab blends embeddings, graph signals, and context so you can launch, learn, and lift KPIs with confidence.
Launch experiments, not guesses
Spin up A/Bs and bandits for ranking strategies, blending rules, and constraints with no redeploys. Get clear lift attribution and ship what works.
Unified signals
Blend embeddings, graph edges, and context in one API. Apply per-surface logic for feeds, search, and carousels.
Privacy-first
Built-in consent flows, regional data residency, and PII minimisation. Personalise with trust and compliance.
Realtime learningNEW
Online updates with every event. Drift-aware, cold-start ready, and optimised for low-latency serving.
Go live in days
Ingest content, define events, and ship recommendations in under a week with SDKs, APIs, and built-in analytics.
Ship experiments
Run safe A/Bs and multi-armed bandits with guardrails; attribute lift to ranking or content changes automatically.
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.