Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CUBIG is a provider of AI-ready data infrastructure solutions designed to help enterprises successfully deploy and operate AI systems in production environments. The company addresses critical challenges that often prevent AI projects from reaching production, including restricted data access, poor data usability, privacy concerns, and execution instability. Its product portfolio includes SynTitan for reproducible AI execution, DTS for synthetic data generation and data usability enhancement, and LLM Capsule for privacy-safe access to large language models. These solutions help organizations transform enterprise data into secure, accessible, and AI-ready assets while maintaining regulatory compliance. CUBIG leverages synthetic data technologies, differential privacy, data versioning, drift detection, and execution traceability to improve the reliability of AI systems. The platform integrates with existing enterprise data ecosystems, including databases, data lakes, CRM systems, ERP platforms, and document repositories. By creating a dedicated AI-ready data layer, CUBIG enables organizations to reduce AI deployment risks and accelerate production adoption. Its solutions support use cases such as fraud detection, customer analytics, enterprise copilots, AI agents, policy simulations, and secure document intelligence. CUBIG helps enterprises build trustworthy, scalable, and production-ready AI environments.
Description
Gretel provides privacy engineering solutions through APIs that enable you to synthesize and transform data within minutes. By utilizing these tools, you can foster trust with your users and the broader community. With Gretel's APIs, you can quickly create anonymized or synthetic datasets, allowing you to handle data safely while maintaining privacy. As development speeds increase, the demand for rapid data access becomes essential. Gretel is at the forefront of enhancing data access with privacy-focused tools that eliminate obstacles and support Machine Learning and AI initiatives. You can maintain control over your data by deploying Gretel containers within your own infrastructure or effortlessly scale to the cloud using Gretel Cloud runners in just seconds. Leveraging our cloud GPUs significantly simplifies the process for developers to train and produce synthetic data. Workloads can be scaled automatically without the need for infrastructure setup or management, fostering a more efficient workflow. Additionally, you can invite your team members to collaborate on cloud-based projects and facilitate data sharing across different teams, further enhancing productivity and innovation.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
GitHub
Slack
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
CUBIG LTD
Founded
2021
Country
United Kingdom
Website
cubug.ai
Vendor Details
Company Name
Gretel.ai
Founded
2019
Country
United States
Website
gretel.ai/
Product Features
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Product Features
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization