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What is Teradata Enterprise AgentStack?

The Teradata Enterprise AgentStack serves as a robust platform for the creation, deployment, and oversight of enterprise-grade autonomous AI agents, facilitating seamless connections to trustworthy data and analytics, thereby aiding enterprises in moving from initial experimentation to fully functional agentic AI under stringent enterprise governance. This platform integrates a variety of features to oversee the complete agent lifecycle; for instance, AgentBuilder simplifies the creation of intelligent agents through both no-code and pro-code options that work harmoniously with Teradata Vantage and a range of open-source frameworks. Moreover, the Enterprise MCP delivers secure, context-rich access to well-managed enterprise data, complemented by customized prompts that enhance the agents' cognitive capabilities. Simultaneously, AgentEngine guarantees scalable execution of agents while ensuring memory consistency and reliability across different hybrid environments. Furthermore, AgentOps is vital for centralizing the monitoring, governance, compliance, auditability, and policy enforcement, ensuring that agents operate within defined limits, which fosters improved efficiency and compliance with organizational policies. Together, these capabilities empower businesses to fully exploit the advantages of autonomous AI in a structured and effective manner, ultimately driving innovation and operational excellence in the enterprise landscape.

What is Akira AI?

Akira.ai provides businesses with a comprehensive suite of Agentic AI, featuring customized AI agents that focus on optimizing and automating complex workflows across various industries. These agents collaborate with human employees to boost efficiency, enable rapid decision-making, and manage repetitive tasks such as data analysis, human resources, and incident management. The platform is engineered to integrate effortlessly with existing systems like CRMs and ERPs, ensuring a smooth transition to AI-enhanced operations without causing any interruptions. By adopting Akira’s AI agents, companies can significantly improve their operational efficiency, speed up decision-making processes, and encourage innovation in sectors including finance, information technology, and manufacturing. This partnership between AI and human teams not only drives productivity but also opens doors for transformative advancements in operational excellence and strategic growth. With such advancements, organizations can remain competitive in an ever-evolving market landscape.

Media

Media

Integrations Supported

Herus
QuerySurge

Integrations Supported

Amazon Redshift
Amazon S3
Apache Cassandra
Apache HBase
Apache Kafka
Apache Spark
Elasticsearch
Java
Jupyter Notebook
Looker
Oracle Cloud Infrastructure
Qlik Application Automation
Ruby
Scala
Splunk Cloud Platform
Tableau
TensorFlow
scikit-image

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$15 per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Teradata

Date Founded

1979

Company Location

United States

Company Website

www.teradata.com/platform/agent-stack

Company Facts

Organization Name

Akira AI

Company Location

India

Company Website

www.akira.ai/

Categories and Features

Agentic AI

Not specified

Agentic Orchestration

Not specified

AI Agent Builders

Not specified

AI Agents

Not specified

AI Automation

Not specified

AI Data Analytics

Not specified

AI Orchestration

Not specified

AI Tools

Not specified

Categories and Features

Agentic AI

Not specified

AI Accounting Agents

Not specified

AI Agent Builders

Not specified

AI Agents

Not specified

AI Marketing Agents

Not specified

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