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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Metal serves as a comprehensive, fully-managed machine learning retrieval platform ready for production. With Metal, you can uncover insights from your unstructured data by leveraging embeddings effectively. It operates as a managed service, enabling the development of AI products without the complications associated with infrastructure management. The platform supports various integrations, including OpenAI and CLIP, among others. You can efficiently process and segment your documents, maximizing the benefits of our system in live environments. The MetalRetriever can be easily integrated, and a straightforward /search endpoint facilitates running approximate nearest neighbor (ANN) queries. You can begin your journey with a free account, and Metal provides API keys for accessing our API and SDKs seamlessly. By using your API Key, you can authenticate by adjusting the headers accordingly. Our Typescript SDK is available to help you incorporate Metal into your application, although it's also compatible with JavaScript. There is a mechanism to programmatically fine-tune your specific machine learning model, and you also gain access to an indexed vector database containing your embeddings. Additionally, Metal offers resources tailored to represent your unique ML use-case, ensuring you have the tools needed for your specific requirements. Furthermore, this flexibility allows developers to adapt the service to various applications across different industries.

Description

Generative AI and Large Language Models (LLMs) offer an exciting opportunity to harness the hidden potential of unstructured data, enabling businesses to gain immediate access to crucial insights. This advancement creates fresh avenues for companies to rethink their customer interactions, innovate products and services, and enhance team efficiency. Baioniq, developed by Quantiphi, is an enterprise-focused Generative AI Platform hosted on AWS, tailored to assist organizations in swiftly integrating generative AI capabilities tailored to their unique needs. For AWS clients, baioniq is packaged in a container format and can be easily deployed on the AWS infrastructure. It delivers a flexible solution that empowers modern businesses to customize LLMs by integrating domain-specific information and executing specialized tasks in just four straightforward steps. Furthermore, this capability allows companies to remain agile and responsive to changing market demands.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Cocos Creator
GameplayKit
JavaScript
LangChain
OpenAI
SceneKit
TypeScript

Integrations

Amazon Web Services (AWS)
Cocos Creator
GameplayKit
JavaScript
LangChain
OpenAI
SceneKit
TypeScript

Pricing Details

$25 per month
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

Metal

Website

getmetal.io

Vendor Details

Company Name

Quantiphi

Founded

2013

Country

United States

Website

ai.quantiphi.com/baioniq

Product Features

Machine Learning

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

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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