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What is TokenTally?

TokenTally is a self-hosted governance solution specifically designed for organizations that want to manage their employees' use of generative AI technologies. It creates a cohesive framework for approved AI services, providing features that facilitate the establishment of access policies, budget oversight, prompt optimization, and tracking of usage and expenses. Administrators can monitor AI service usage across different teams and enforce comprehensive organizational policies, while employees engage with tools within this controlled setting. This platform is intended for executives, operational managers, IT and security personnel tasked with evaluation and implementation, as well as IT service providers overseeing client systems. TokenTally is installed on the organization’s infrastructure, with subscription options tailored to employee count, making it suitable for both small businesses and large enterprises. Additionally, it proves especially advantageous for companies seeking a centralized perspective on their AI initiatives, financial expenditures, and the safeguarding of sensitive data. As businesses continue to weave AI into their operations, tools like TokenTally become critical for ensuring proper oversight, compliance, and effective governance in this evolving landscape. Ultimately, this governance platform empowers organizations to harness the potential of AI while mitigating risks associated with its use.

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

No images available

Media

Integrations Supported

DeepSeek
Hugging Face

Integrations Supported

AWS EC2 Trn3 Instances
AWS HealthLake
Amazon EC2 P5 Instances
Amazon FSx for Lustre
Amazon Linux 2
Amazon Redshift
Amazon SageMaker Canvas
Amazon SageMaker Ground Truth
Amazon Transcribe
Causal
JFrog ML
JetBrains Datalore
OpenCompress
Pruna AI
Ray
Splunk User Behavior Analytics
Umbrelly Cloud
Wallaroo.AI

API Availability

API Availability

Has API

Pricing Information

$249
One month free with no commitment. Starter supports up to 50 employees; Business up to 200; Scale up to 600, with three gateway nodes and 10 admin accounts. Enterprise licensing is tailored.
Free Trial Offered?

Pricing Information

Try free for two months
Free Trial Offered?

Supported Platforms

On-Prem

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Online Training

Company Facts

Organization Name

Nelio Tech LLC

Date Founded

2026

Company Location

United States

Company Website

tokentally.nelio-tech.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/

Categories and Features

AI Governance

Not specified

Categories and Features

Agentic AI

Not specified

AI Development

Not specified

AI Fine-Tuning

Not specified

AI Governance

Not specified

AI Infrastructure

Not specified

AI Tools

Not specified

AI/ML Model Training

Not specified

Data Catalog

Not specified

Data Governance

Not specified

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

Not specified

ML Model Deployment

Not specified

ML Model Management

Not specified

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