Cleora.ai

What is Cleora.ai?

Cleora.AI is a powerful machine learning tool designed to assist Data Science and Analytics teams in efficiently creating high-quality enterprise embeddings. It eliminates the need for expensive hardware, making the process accessible and scalable. Cleora embeds entities such as customers, products, and other business-related data into n-dimensional spherical spaces through a stable and iterative projection method. This results in embeddings that reflect an entity's history of behavior, represented as large-scale graphs. The technology allows organizations to develop advanced models for recommender systems, client segmentation, propensity prediction, churn prediction, and lifetime value modeling by simply extracting three columns from their databases. Cleora is known for its speed, efficiency, inductivity, and ability to combine embeddings across datasets. It offers automatic scaling, improved performance, and superior embedding quality in its PRO version for enterprises.

Key Features of Cleora.AI:

1. Efficiency: Cleora is faster than competing systems and capable of handling graphs with billions of edges without GPUs.
2. Ease of Use: Requires only three columns from the database with automatic graph detection.
3. Cross-dataset Compositionality: Stability in embeddings enables meaningful vector combinations from multiple datasets.
4. Inductive Capabilities: Can compute vectors for new entities based on interactions with other entities.
5. Automatic Scaling: Cleora PRO provides automatic scaling features, eliminating the need for expensive hardware.

Cleora.AI is up to 200x faster than DeepWalk and 4x-8x faster than Pytorch-BigGraph by Facebook, showcasing exceptional speed in generating embeddings. Additionally, Cleora can efficiently handle billion-scale graph data and process National Capital Region graph data in less than 5 minutes.

Who created Cleora.ai?

Cleora.ai was created by a lab named Sair, which is focused on behavioral modeling, recommendations, and large-scale data processing. The company behind Cleora.ai aims to provide a powerful machine learning tool for creating high-quality enterprise embeddings efficiently and cost-effectively. The platform is designed to eliminate the need for expensive hardware, making it accessible and scalable for Data Science and Analytics teams. Cleora.ai offers both a PRO version for enterprises and an Open Source version on Github, known for its speed, efficiency, and the ability to combine embeddings across datasets.

What is Cleora.ai used for?

• Anomaly detection
• Recommender systems
• Client segmentation
• Propensity prediction
• Churn prediction
• Lifetime value modeling
• Automatic scaling
• Efficiency in embedding large graphs
• Cross-dataset compositionality
• Inductive capabilities for computing vectors for new entities
• Combining embeddings across datasets
• Profile scoring
• Profile matching
• Hyper-segmentation
• Time to event predictions
• Lifetime value modeling
• Uplift estimation

Who is Cleora.ai for?

• Data scientists
• Data Analysts
• Machine learning engineers
• AI researchers
• Business analysts
• Data & ML/AI Engineers
• Analytics teams
• Data engineers
• ML/AI Engineers

How to use Cleora.ai?

To use Cleora.ai, follow these steps:

1. Efficiency: Cleora is notably faster than other systems, capable of embedding graphs with billions of edges without requiring GPUs.

2. Ease of Use: Simply extract three columns from your database, and Cleora automatically detects graphs in the data.

3. Cross-dataset Compositionality: Stable embeddings allow for meaningful vector combinations by averaging embeddings from multiple datasets.

4. Inductive Capabilities: Cleora can compute vectors for new entities based on their interactions with other entities.

5. Automatic Scaling: Cleora PRO provides automatic scaling capabilities, eliminating the need for costly hardware.

6. Creating Models: Build models for various purposes like recommender systems, client segmentation, churn prediction, etc., by extracting three columns from databases.

Cleora.AI offers additional benefits through its private beta for Cleora PRO, providing automatic scaling, improved performance, and superior embedding quality. The tool can handle billion-scale graph data efficiently and quickly, as demonstrated by processing graph data in the National Capital Region in under 5 minutes.

Moreover, Cleora PRO is significantly faster than DeepWalk and Pytorch-BigGraph by Facebook, making it an exceptional choice for embedding generation. It can efficiently process and represent entities such as clients, products, stores, and accounts with behavioral embeddings shaped as large graphs.

Overall, Cleora.AI streamlines data science and analytics tasks by simplifying the process of creating high-quality enterprise embeddings, making it accessible and scalable for various organizations and teams .