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Description

Thoroughly evaluate 3D meshes for any topological or geometric flaws that could impede successful 3D printing. Fabnami can be adjusted to meet the specifications of various professional 3D printers and materials. You can set your pricing based on a multitude of factors such as model volume, the volume of support material, bounding box size, model convexity (which allows for model nesting), and printing time. Before launch, we seamlessly integrate Fabnami with your preferred tools and customize it to align with your 3D printers, pricing structure, and business workflow, enabling you to maintain your current operations while enhancing efficiency. Built on several Amazon Web Services, including Lambda, Fabnami ensures reliable, scalable, and high-performance data processing capable of handling virtually any workload. You can easily define business processes that vary according to order size, material type, or client identification. For instance, automated quotes can be generated for smaller orders, while larger ones may require a manual review process for accuracy and detail. This flexibility allows businesses to adapt their workflows efficiently while managing diverse order scenarios.

Description

It facilitates device connectivity through widely accepted IoT protocols such as MQTT, CoAP, and HTTP, accommodating both cloud and local installations. ThingsBoard is engineered for scalability, reliability, and high performance, ensuring that your data remains secure and intact. You can provision, monitor, and manage your IoT devices securely by utilizing comprehensive server-side APIs. Establish connections among your devices, assets, customers, or other entities with ease. Efficiently gather and archive telemetry data in a scalable and resilient manner. You can visualize your data using either built-in or personalized widgets and adaptable dashboards, which can also be shared with clients. The platform allows you to create data processing rule chains, enabling you to transform and standardize your device data. It can trigger alerts based on incoming telemetry events, updates to attributes, periods of device inactivity, and user interactions. Build a ThingsBoard cluster to achieve maximum scalability and fault tolerance through a microservices architecture. Furthermore, ThingsBoard accommodates both cloud and on-premises setups, making it a versatile choice for various deployment needs. This flexibility ensures that users can tailor their IoT solutions according to specific requirements and preferences.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace

Integrations

Azure Marketplace

Pricing Details

No price information available.
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

In Numero

Country

Switzerland

Website

fabnami.com

Vendor Details

Company Name

Thingsboard

Country

Ukraine

Website

thingsboard.io

Product Features

eCommerce

CRM
Catalog Management
Channel Management
Customer Accounts
Data Security
Email Marketing
Inventory Management
Kitting
Loyalty Program
Mobile Access
Multi-Store Management
Order Management
Product Configurator
Promotions Management
Returns Management
Reviews Management
SEO Management
Shopping Cart
Templates

Product Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

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