Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Go.AI is a comprehensive AI infrastructure solution tailored for organizations that operate under strict regulations, such as financial institutions, insurance companies, and healthcare providers. The centerpiece of this platform is the Go1, a dedicated hardware appliance that operates on Go.OS, an operating system designed specifically for the deployment and management of AI models, as well as overseeing permissions and compliance processes. Its suite of software tools features Index Studio, which allows for the indexing of data across multiple connected systems without the need to relocate the original data, Go Assist to address inquiries from both customers and employees, and Go Studio to oversee knowledge management and workflow governance. The platform is versatile, supporting various deployment options, including on-premises, air-gapped, private-cloud, and hybrid environments. Additionally, it offers API access and software development kits (SDKs) for seamless integration with applications, enhancing the user experience with features like model monitoring, access controls, and comprehensive audit logging. These capabilities make Go.AI highly suitable for a range of applications, including knowledge retrieval, customer service optimization, document intelligence, and policy-driven assistance, ensuring that regulated organizations can leverage AI technology while maintaining compliance and security.
Description
Accelerate the development of your deep learning project on Google Cloud: Utilize Deep Learning Containers to swiftly create prototypes within a reliable and uniform environment for your AI applications, encompassing development, testing, and deployment phases. These Docker images are pre-optimized for performance, thoroughly tested for compatibility, and designed for immediate deployment using popular frameworks. By employing Deep Learning Containers, you ensure a cohesive environment throughout the various services offered by Google Cloud, facilitating effortless scaling in the cloud or transitioning from on-premises setups. You also enjoy the versatility of deploying your applications on platforms such as Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm, giving you multiple options to best suit your project's needs. This flexibility not only enhances efficiency but also enables you to adapt quickly to changing project requirements.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon S3
Yes
Box
Yes
Confluence
Yes
Databricks
Yes
Gmail
Yes
Google Cloud BigQuery
Yes
Google Cloud Platform
No
Google Cloud Run
No
Google Compute Engine
No
Google Drive
Yes
Integrations
Amazon S3
No
Box
No
Confluence
No
Databricks
No
Gmail
No
Google Cloud BigQuery
No
Google Cloud Platform
Yes
Google Cloud Run
Yes
Google Compute Engine
Yes
Google Drive
No
Pricing Details
Enterprise plans use fixed per-seat pricing with unlimited queries; pricing is custom quoted. Deployment options include on-premises hardware, a dedicated private cloud (VPC), and hybrid configurations.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
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
Yes
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Go Abacus
Founded
2018
Country
United States
Website
go.ai/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/ai-platform/deep-learning-containers
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
Yes
Image Segmentation
Yes
ML Algorithm Library
No
Model Training
Yes
Neural Network Modeling
Yes
Self-Learning
Yes
Visualization
Yes
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Alternatives
No Alternatives