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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Obtain scores that assess factual accuracy, context retrieval quality, guideline compliance, tonality, among other metrics. Improvement is impossible without measurement. UpTrain consistently evaluates your application's performance against various criteria and notifies you of any declines, complete with automatic root cause analysis. This platform facilitates swift and effective experimentation across numerous prompts, model providers, and personalized configurations by generating quantitative scores that allow for straightforward comparisons and the best prompt selection. Hallucinations have been a persistent issue for LLMs since their early days. By measuring the extent of hallucinations and the quality of the retrieved context, UpTrain aids in identifying responses that lack factual correctness, ensuring they are filtered out before reaching end-users. Additionally, this proactive approach enhances the reliability of responses, fostering greater trust in automated systems.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

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 
Gemini 3 Deep Think No 
Gemini 3 Pro No 
Gemini 3.1 Flash-Lite No 
Gemini 3.1 Pro No 
Gemini 3.5 Pro No 
GitHub Copilot No 
Groq No 

Integrations

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 
Gemini 3 Deep Think Yes 
Gemini 3 Pro Yes 
Gemini 3.1 Flash-Lite Yes 
Gemini 3.1 Pro Yes 
Gemini 3.5 Pro Yes 
GitHub Copilot Yes 
Groq Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$25 per month
Free Trial No 
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

UpTrain

Country

United States

Website

uptrain.ai/

Vendor Details

Company Name

Vivgrid

Country

United States

Website

www.vivgrid.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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