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What is SurePath AI?

Ensure compliance with corporate guidelines when implementing AI through our intuitive AI governance control plane. By streamlining the experience, you can improve oversight and securely promote the adoption of AI with SurePath AI. This platform integrates effortlessly with your existing security frameworks, proprietary models, and enterprise data sources. It features essential components such as SSO, SCIM, and SIEM. You can monitor AI usage at the network level while controlling access and examining requests to safeguard against potential data breaches. Moreover, it offers the capability to redact sensitive details from requests aimed at public models. The real-time modification of requests enhances operational efficiency while reducing risks. Additionally, you can redirect traffic to your private AI models, leveraging SurePath AI's access controls to craft a custom-branded AI portal for your enterprise. With controls driven by policies, user requests are enhanced with only the data they have permission to access, yielding responses that are particularly relevant to your organizational demands. User prompts are also automatically refined to guarantee that outputs are in line with your strategic goals and ensure adherence to compliance standards. This comprehensive approach not only fortifies security but also fosters a culture of responsible AI use across the organization.

What is Amazon SageMaker?

Amazon SageMaker is a robust platform designed to help developers efficiently build, train, and deploy machine learning models. It unites a wide range of tools in a single, integrated environment that accelerates the creation and deployment of both traditional machine learning models and generative AI applications. SageMaker enables seamless data access from diverse sources like Amazon S3 data lakes, Redshift data warehouses, and third-party databases, while offering secure, real-time data processing. The platform provides specialized features for AI use cases, including generative AI, and tools for model training, fine-tuning, and deployment at scale. It also supports enterprise-level security with fine-grained access controls, ensuring compliance and transparency throughout the AI lifecycle. By offering a unified studio for collaboration, SageMaker improves teamwork and productivity. Its comprehensive approach to governance, data management, and model monitoring gives users full confidence in their AI projects.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
AWS HealthLake
AWS Step Functions
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Trn2 Instances
Amazon Linux 2
Amazon SageMaker Model Monitor
Amazon SageMaker Pipelines
Bing
Comet
Label Studio
Llama 2
Llama 3
MLflow
NVIDIA Triton Inference Server
Pruna AI
Superwise
Umbrelly Cloud
neptune.ai

Integrations Supported

Amazon Web Services (AWS)
AWS HealthLake
AWS Step Functions
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Trn2 Instances
Amazon Linux 2
Amazon SageMaker Model Monitor
Amazon SageMaker Pipelines
Bing
Comet
Label Studio
Llama 2
Llama 3
MLflow
NVIDIA Triton Inference Server
Pruna AI
Superwise
Umbrelly Cloud
neptune.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SurePath AI

Company Location

United States

Company Website

www.surepath.ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/

Categories and Features

Categories and 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

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