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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
Utilizing only real data presents notable obstacles in the training of machine learning models. In contrast, synthetic data offers boundless opportunities for training, effectively mitigating the limitations associated with real datasets. Enhance the efficacy of your geospatial analytics by generating the specific imagery you require. With customizable options for satellite, drone, and aerial images, you can swiftly and iteratively create various scenarios, modify object ratios, and fine-tune imaging parameters. This flexibility allows for the generation of any infrequent objects or events. The resulting datasets are meticulously annotated, devoid of errors, and primed for effective training. The OneView simulation engine constructs 3D environments that serve as the foundation for synthetic aerial and satellite imagery, incorporating numerous randomization elements, filters, and variable parameters. These synthetic visuals can effectively substitute real data in the training of machine learning models for remote sensing applications, leading to enhanced interpretation outcomes, particularly in situations where data coverage is sparse or quality is subpar. With the ability to customize and iterate quickly, users can tailor their datasets to meet specific project needs, further optimizing the training process.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
CUBIG LTD
Founded
2021
Country
United Kingdom
Website
cubug.ai
Vendor Details
Company Name
OneView
Founded
2018
Country
Israel
Website
www.oneview.space/
Product Features
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No