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Description
Vivgrid serves as a comprehensive development platform tailored for AI agents, focusing on critical aspects such as observability, debugging, safety, and a robust global deployment framework. It provides complete transparency into agent activities by logging prompts, memory retrievals, tool interactions, and reasoning processes, allowing developers to identify and address any points of failure or unexpected behavior. Furthermore, it enables the testing and enforcement of safety protocols, including refusal rules and filters, while facilitating human-in-the-loop oversight prior to deployment. Vivgrid also manages the orchestration of multi-agent systems equipped with stateful memory, dynamically assigning tasks across various agent workflows. On the deployment front, it utilizes a globally distributed inference network to guarantee low-latency execution, achieving response times under 50 milliseconds, and offers real-time metrics on latency, costs, and usage. By integrating debugging, evaluation, safety, and deployment into a single coherent framework, Vivgrid aims to streamline the process of delivering resilient AI systems without the need for disparate components in observability, infrastructure, and orchestration, ultimately enhancing efficiency for developers. This holistic approach empowers teams to focus on innovation rather than the complexities of system integration.
Description
Voker serves as an innovative Agent Analytics Platform that focuses on the oversight and enhancement of AI agents operating in real-world settings, ensuring that these agents are not merely reactive but genuinely beneficial. This platform enables developers to monitor the interactions of AI agents, pinpoint areas needing improvement, identify any irregularities, and assess progress over time, all without the hassle of sifting through extensive logs or relying solely on user feedback. By linking the performance metrics of agents to tangible business results, Voker allows teams to correlate conversational insights with existing user data, providing clarity on whether an agent is effectively contributing to goals such as user activation, retention, conversion rates, support quality, and other key performance indicators. The user-friendly self-service analytics are tailored for product managers, analysts, and business teams, offering them actionable insights without the issues of support tickets or workflow interruptions. Additionally, developers can easily integrate Voker into their systems using the SDK; they can do this via a simple pip install command or leverage an AI coding tool to quickly set up the SDK, input the necessary API key, and configure an agent within just a few minutes. Thus, Voker not only streamlines the monitoring process but also empowers teams to leverage data for continuous improvement of their AI agents.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AmpliTube
No
Cerebras
Yes
ChatGPT
Yes
Claude
Yes
Cursor
Yes
DeepSeek R1
Yes
DeepSeek-V3
Yes
GPT-4.1
Yes
Gemini 2.5 Flash
Yes
Gemini 2.5 Pro
Yes
Integrations
AmpliTube
Yes
Cerebras
No
ChatGPT
No
Claude
No
Cursor
No
DeepSeek R1
No
DeepSeek-V3
No
GPT-4.1
No
Gemini 2.5 Flash
No
Gemini 2.5 Pro
No
Pricing Details
$25 per month
Free Trial
No
Free Version
Yes
Pricing Details
$80 per month
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
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
No
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
Vivgrid
Country
United States
Website
www.vivgrid.com
Vendor Details
Company Name
Voker
Founded
2024
Country
United States
Website
voker.ai/