Solutions
Automate website search relevance with AI
With the latest advances in foundation models, organizations can now enhance search relevance for websites by better matching between user intent with product listings. While companies now have access to a wealth of search queries, sifting through all of these search results can be incredibly time-consuming and resource-intensive. Teams can now analyze search queries and feedback at scale, to gain insights into common topics or customer sentiment, allowing businesses to maximize for key metrics such as user retention, conversion and revenue.
Improve relevance and retention with intelligent results and listings
Labelbox provides teams with the ability to inject valuable insights for delivering better search relevance models that allow you to improve your website experience, maximize conversion and power AI-powered product development faster.
Accelerate development with 4x faster model training
Delivering search relevance goes beyond analyzing queries — it's about iterative learning, evaluation, and enhancement. Labelbox provides the environment to train models 4X faster, allowing you to compare models across experiments, diagnose model errors, perform robust error analysis, and drive accurate AI outcomes. Create end-to-end workflows with Databricks and Vertex AI to ensure that your models are aligned with human-centric evaluations, guaranteeing the best experience for your website or app.
Enrich your data and automate common tasks with LLMs
Automate data labeling and augmentation tasks with Model Foundry. No-code data enrichment with leading closed-source and open-source LLMs at a fraction of the time and cost allows for rapid development of search relevance applications.
Improve search relevance with the world’s best data labeling teams
A collaborative human feedback platform to generate perfect data with internal experts and world’s most skillful data labeling services with expertise in computer vision, NLP and LLMs.
Why Labelbox
Accelerate AI alignment
Combine model assisted labeling and human expertise to quickly prepare data for training, testing and validation.
Evaluate
Rapidly integrate data, create quality training data, and deploy models to production.
Generate high quality datasets
Optimize custom labeling and review workflows to ensure the highest quality data for model training and fine-tuning.
Maintain data privacy & security
Keep full ownership, transparency, and control over your data throughout the AI development process.