Fastest clustering workflow for interpreting unstructured datasets
You have millions of unstructured data such as text and images in your CSVs, Tables, PDFs. Start clustering them into smaller groups that surfaces interpretable trends to save manual reading time and quicker actionable insights.
- Shareable application from clustering for insights
- Supports K-means, HDBScan, Hierarchical and Agglomerative
- Works with Huggingface, Sklearn, Pytorch and Tensorflow
No credit card required.
Trusted by industry leaders
Evolved with machine learning vectors
Clustering saves time and provides actionable insights
Clustering allows you to make sense of your unstructured data quickly by leveraging the semantic similarity produced by vectors, to seperate millions of points into smaller groups.
So you scan through 15 cluster summaries of your data, instead of trying to review every single data point.
- Save time reading through millions of unstructured data
- AI cluster summaries with actionable insights
More collaboration, more impact
Clustering dashboard that is designed for collaboration
We’ve built our dashboard to be collaborative. So your data team can easily share initial cluster experiments with domain experts and stakeholders for feedback. Through rapid feedback and experimentation you can ensure the results are business ready, statistically and domain accurate.
- Share & deploy to dashboard within a few lines of code
- Drill-downs for deeper insight and checks
Extra features designed for better cluster understanding
We are constantly researching and listening to feedback from users on new ways to dive deep or evaluate clusters.
- Evaluate clusters with reports
- Aggregate inside clusters
- List data closest and furthest from centroids
- Sub-clustering and hierarchical dendrograms
“Relevance AI allowed us to quickly deliver production-quality AI analysis from social media text and images that our 10k+ customers love and have used over 3 million+ times.”
Founder, Sked Social – Top Social Marketing Platform
“Relevance AI has allowed our app developers to carry out unstructured data analysis that our millions of gamers love. We have seen apps where gamers are up to 200% more engaged.”
Director of Business Development, Overwolf – #1 In-game creators platform
“Relevance AI has not only helped uncover the actionable insights from our unstructured data that helps save millions in repeated construction mistakes. Relevance also helped further align the business with the data team to become more data-driven.”
GM of Data Science, Listed construction company
“Relevance AI’s capabilities to analyze unstructured data has helped us surface to our users their bad tendencies and provide actionable recommendations to them that have increased our engagement and session times by 200%.”
Founder, Gaming website with 15 million+ monthly traffic
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