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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Mesh is an AI-powered relationship management platform designed to help users organize, track, and strengthen their networks. It automatically collects and updates contact information from emails, calendars, and other communication sources. The platform uses AI to provide insights such as career updates, social activity, and relevant news about contacts. Mesh enables users to set reminders and receive intelligent prompts for reconnecting with people at the right time. It offers a centralized, searchable database that makes it easy to access and manage all relationships in one place. The platform supports collaboration by allowing teams to share and leverage their combined networks. Mesh helps users identify connections within their team to facilitate introductions and opportunities. It integrates with multiple tools to ensure seamless data synchronization. The platform is designed with a simple and user-friendly interface for easy adoption. Mesh improves productivity by reducing the need for manual contact management. Overall, it provides a modern solution for managing relationships and networking effectively.

Description

The open-source platform designed for the processing and editing of 3D triangular meshes offers an array of tools for various tasks, such as editing, cleaning, healing, inspecting, rendering, texturing, and converting these meshes. It includes capabilities for handling raw data generated by 3D digitization devices and for preparing models suitable for 3D printing applications. In the latest update, support has been added for multiple file formats (.gltf, .glb, .nxs, .nxz, .e57), along with the introduction of a new plugin dedicated to precise mesh boolean operations. A critical phase in the workflow for handling 3D scanned data is the 3D data alignment process, often referred to as registration. MeshLab equips users with robust tools to align various meshes within a unified reference framework, effectively managing extensive sets of range maps. Additionally, it features a finely-tuned Iterative Closest Point (ICP) algorithm for one-to-one alignment, which is complemented by a global bundle adjustment step to optimize error distribution. Users can perform this alignment on both meshes and point clouds obtained from a variety of sources, including active scanners, whether they operate over short or long ranges. This versatility enhances the overall functionality and effectiveness of the tool in 3D data processing.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Affinity Yes 
Axis LMS Yes 
BAND Yes 
Facebook Yes 
HubSpot CRM Yes 
HubSpot Customer Platform Yes 
LinkedIn Yes 
Microsoft 365 Yes 
Salesforce Yes 
Shapes Yes 
Sketchfab No 
Texts Yes 
X (Twitter) Yes 
Zapier Yes 
iMessage Yes 

Integrations

Affinity No 
Axis LMS No 
BAND No 
Facebook No 
HubSpot CRM No 
HubSpot Customer Platform No 
LinkedIn No 
Microsoft 365 No 
Salesforce No 
Shapes No 
Sketchfab Yes 
Texts No 
X (Twitter) No 
Zapier No 
iMessage No 

Pricing Details

$10 per month
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
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 Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Automattic

Country

United States

Website

me.sh/

Vendor Details

Company Name

MeshLab

Country

3D Rendering

Website

www.meshlab.net

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Madras Made Digital Solutions Pvt Ltd.