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Description
Action Agent is a self-sufficient AI equipped with robust enterprise controls that can independently reason, execute code, and perform tasks throughout your systems and data without the need for manual intervention. This innovative tool enables the creation of tailored agents that can utilize shared resources for both IT and business teams, facilitating their activation through a centralized interface, while also allowing for comprehensive monitoring and governance of their performance on a large scale. By processing extensive data files, Action Agent is capable of dissecting intricate datasets to produce informative charts, graphs, and presentations; it also extracts valuable insights from market competition and research, culminating in ready-to-use outputs that adhere to high-level directives. Consistently achieving top rankings in GAIA Level 3 and Computer Use metrics, Action Agent showcases its expertise in various areas such as web searching, data analysis and visualization, navigating systems and browsers, orchestrating tasks, generating files, and executing code. Additionally, an upcoming library featuring over 80 connectors will further enhance its capability to operate autonomously within genuine workflows, ensuring seamless integration with essential enterprise systems and expanding its utility. This advancement will significantly contribute to the efficiency of operations across various departments.
Description
HyperOrbit is a pioneering company in customer intelligence that develops autonomous AI agents designed to empower product, customer success, and product marketing teams to respond to customer and competitive insights instantly. The platform features two distinct agents: the Voice of Customer Agent, which consolidates feedback from various sources such as support tickets, reviews, surveys, sales calls, and product usage to prioritize development based on potential revenue impact, and the Competitive Intelligence Agent, which keeps track of competitor pricing, positioning, and market strategies, linking this data to potential risks related to deals and customer churn. Unlike traditional systems that require human interaction with dashboards, these agents are engineered to take initiative — proactively alerting teams, crafting requirements, and autonomously revising playbooks as needed. A key aspect of HyperOrbit's innovation lies in the synergy between these two agents: customer insights and competitive data enhance each other in a self-reinforcing ecosystem, revealing insights that are often overlooked by tools that serve only a single purpose. This interconnected approach not only streamlines operations but also equips teams with actionable intelligence that can drive strategic decisions more effectively.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Asana
ClickUp
Cloudflare
Figma
GitHub
Gmail
Google Calendar
Google Chrome
Google Docs
Google Drive
Integrations
Asana
ClickUp
Cloudflare
Figma
GitHub
Gmail
Google Calendar
Google Chrome
Google Docs
Google Drive
Pricing Details
$29 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
WRITER
Country
United States
Website
writer.com/product/action-agent/
Vendor Details
Company Name
HyperOrbit Labs
Founded
2026
Country
Singapore
Website
www.hyperorbit.ai
Product Features
Product Features
Customer Experience
Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis