Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Grengin is an enterprise-grade AI platform that is open-source and self-hosted, allowing organizations to access LLMs from multiple providers while maintaining data privacy by avoiding third-party SaaS. The platform features capabilities such as departmental budgeting, role-specific permissions, integration with MCP tools, semantic search of conversation history, and a comprehensive admin dashboard, all deployable through a cloud marketplace image that comes equipped with ready-to-use OAuth/SSO or can be installed with a simple command.
Administrators benefit from meticulous control over AI provider and model access, can define budgets for different departments, manage MCP tool servers, and establish role-based permissions tailored to either the organization as a whole or individual departments. In addition, the platform is equipped with tamper-proof audit logs, detailed usage analytics categorized by user, department, and model, SSO support through Google and Azure AD, the ability to customize branding, and desktop applications compatible with Windows, macOS, and Linux, with mobile applications on the horizon. As a project that embraces open-source principles, it is available on GitHub and encourages contributions from the community, fostering collaborative development and innovation. Moreover, Grengin aims to empower organizations by providing them with a robust and flexible AI infrastructure that aligns with their specific needs.
Description
A comprehensive open-source session replay suite designed specifically for developers, enabling self-hosting for optimal data control. Gain insights into every issue as if it were occurring in your own browser, allowing you to delve deep while observing user interactions. This all-in-one platform empowers developers to effectively address problems, replay sessions, track web app performance, and provide exceptional customer support. Experience your users' journey firsthand, identify their challenges, expose hidden issues, and create outstanding experiences. With the ability to self-host, your customer data remains within your own infrastructure, eliminating the need to share sensitive information with third parties. Maintain complete authority over the data captured and eliminate the hassle of extensive compliance and security protocols. Our suite also includes advanced privacy features for user data sanitization. If self-deployment isn't your preference, you can easily opt for our cloud solution and start benefiting from the service in just a few minutes. This flexibility ensures that developers can choose the deployment method that best suits their needs while still prioritizing user privacy and data security.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Microsoft Azure
Amazon CloudWatch
Bugsnag
Datadog
DigitalOcean
Elasticsearch
GitHub
Google Cloud Platform
JavaScript
Integrations
Amazon Web Services (AWS)
Microsoft Azure
Amazon CloudWatch
Bugsnag
Datadog
DigitalOcean
Elasticsearch
GitHub
Google Cloud Platform
JavaScript
Pricing Details
$0
Free Trial
Free Version
Pricing Details
$3.95 per month
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
Perter Technology Solutions Private Limited
Country
India
Website
grengin.com
Vendor Details
Company Name
OpenReplay
Country
United States
Website
openreplay.com
Product Features
Product Features
Session Replay
Eye Tracking
Form Analytics
Heatmaps
Mouse Tracking
Optimization Tools
Session Recording
Surveys
User Experience Analysis
User Feedback
Visitor Segmentation
Alternatives
No Alternatives