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What is WenDuct?

WenDuct HVAC is equipped to manage every facet of sheet metal estimating for both industrial and commercial applications. Their Wendes Sheet Metal estimating systems offer a modular approach, featuring cutting-edge screen takeoff technology along with an exceptionally rapid "real-time database," ensuring efficiency and accuracy in estimates. This innovative system allows for seamless integration of various components, making it a versatile choice for businesses in need of reliable estimating solutions.

What is Metal?

Metal acts as a sophisticated, fully-managed platform for machine learning retrieval that is primed for production use. By utilizing Metal, you can extract valuable insights from your unstructured data through the effective use of embeddings. This platform functions as a managed service, allowing the creation of AI products without the hassles tied to infrastructure oversight. It accommodates multiple integrations, including those with OpenAI and CLIP, among others. Users can efficiently process and categorize their documents, optimizing the advantages of our system in active settings. The MetalRetriever integrates seamlessly, and a user-friendly /search endpoint makes it easy to perform approximate nearest neighbor (ANN) queries. You can start your experience with a complimentary account, and Metal supplies API keys for straightforward access to our API and SDKs. By utilizing your API Key, authentication is smooth by simply modifying the headers. Our Typescript SDK is designed to assist you in embedding Metal within your application, and it also works well with JavaScript. There is functionality available to fine-tune your specific machine learning model programmatically, along with access to an indexed vector database that contains your embeddings. Additionally, Metal provides resources designed specifically to reflect your unique machine learning use case, ensuring that you have all the tools necessary for your particular needs. This adaptability also empowers developers to modify the service to suit a variety of applications across different sectors, enhancing its versatility and utility. Overall, Metal stands out as an invaluable resource for those looking to leverage machine learning in diverse environments.

Media

Media

Integrations Supported

Cocos Creator
GameplayKit
JavaScript
LangChain
OpenAI
SceneKit
TypeScript

Integrations Supported

Cocos Creator
GameplayKit
JavaScript
LangChain
OpenAI
SceneKit
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

$3,500.00
Network versions and multiple system pricing available.
Free Version
Free Trial Offered?

Pricing Information

$25 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Wendes Systems

Date Founded

1983

Company Location

United States

Company Website

www.wendes.com

Company Facts

Organization Name

Metal

Company Website

getmetal.io

Categories and Features

Construction Estimating

Accounting Integration
Audit Trail
Bid Management
Billing & Invoicing
Building Product Database
Calculators
Change Orders
Contract Management
Cost Database
Customer Management
Customizable Templates
Electrical Estimating
HVAC Estimating
Historical Database
Job Costing
Plumbing Estimating
Price Data / Price Books
Project Management
Quote Management
Reporting/Analytics
Scheduling
Subcontractor Management
Takeoff
What-if Analysis

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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