Introducing NeuronSearchLab
A new kind of recommendation engine that gives you control, flexibility, and lightning-fast personalization—powered by machine learning.
Why We Built NeuronSearchLab
Modern recommendation engines often come with two extremes: black-box machine learning APIs that give you little insight or control, or rigid rule-based systems that fail to scale. We believe there’s a better way.
At NeuronSearchLab, we’ve built a platform that gives you the intelligence of neural embeddings and the flexibility to shape how recommendations behave—without needing a PhD in ML.
What NeuronSearchLab Does
NeuronSearchLab uses a combination of real-time user data, neural embeddings, and context-aware logic to power dynamic recommendations across your digital experiences.
It works like this:
- Send us your items and metadata via API
- Capture user events like clicks, views, or purchases
- Use our recommendation endpoint to personalize content instantly
Whether you're running a content platform, e-commerce site, or app, NeuronSearchLab adapts to your data and logic to deliver personalized content fast.
How It Works
At its core, NeuronSearchLab turns items and user interactions into vectors—compact numerical representations that capture semantic meaning. These embeddings live in a high-dimensional space, enabling us to calculate relevance using techniques like cosine similarity.
But what makes us different is context. You can define logic in our Admin UI that adjusts what recommendations get shown, filtered, grouped, or boosted based on your business needs.
This means you can:
- Control what shows up in each content rail
- Boost certain categories based on campaigns
- Group recommendations for better layout or A/B testing
Who It's For
NeuronSearchLab is designed for:
- Product teams who want ML recommendations without vendor lock-in
- Developers who need fast, flexible APIs
- Marketers who want control over what users see
Built for Performance and Scale
Our stack is built on AWS with Aurora vector search, SageMaker Serverless, and low-latency Lambda orchestration. Most recommendations resolve in under 250ms—ready for homepage personalization, feed ranking, or related content carousels.
Get Started
NeuronSearchLab is now in open beta. You can try it for free, explore the admin UI, and start integrating with just a few lines of code.
Frequently Asked Questions
What is NeuronSearchLab?
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NeuronSearchLab is a machine learning–powered recommendation engine that helps apps, sites, and platforms deliver real-time personalized content through flexible APIs and a customizable admin interface.
How does NeuronSearchLab work?
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It captures user interactions, converts them into embeddings, and uses those vectors to compute highly relevant recommendations using similarity measures like cosine distance.
Who can benefit from NeuronSearchLab?
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Product teams, developers, and marketers who want scalable ML recommendations without losing control over filtering, grouping, or boosting logic.
How is it different from other recommendation tools?
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Unlike black-box APIs, NeuronSearchLab lets you control the recommendation logic—so you can shape user experience without needing to build your own ML models.
What’s required to get started?
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You can sign up, send items and user events via API, and start receiving personalized results with just a few lines of code. No ML expertise required.