Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Description

Elham.ai is a no-code machine-learning platform that enables users to create and implement AI models effortlessly without any programming knowledge. The platform features a user-friendly interface that allows for the uploading of datasets, selection of problem types such as classification and regression, while Elham takes care of essential processes like data preprocessing, feature engineering, model training, evaluation, and deployment. With integration capabilities through Zapier, it connects to ChatGPT/OpenAI, facilitating the transformation, summarization, or analysis of integration data using advanced AI models. Additionally, it provides streamlined sign-up and login processes, allowing teams to begin utilizing its features immediately. By simplifying the machine-learning workflow, the platform seeks to turn unprocessed data into meaningful insights while managing the intricacies of model tuning and infrastructure setup, thereby enhancing productivity for its users. Overall, Elham.ai represents a significant advancement in making AI accessible to a broader audience.

Description

A data science platform designed to enhance productivity offers unmatched features that facilitate the development and assessment of superior machine learning (ML) models. By leveraging enterprise-trusted data swiftly, businesses can achieve greater flexibility and meet their data-driven goals through simpler deployment of ML models. Cloud-based solutions enable organizations to uncover valuable business insights efficiently. The journey of constructing a machine learning model is inherently iterative, and this ebook meticulously outlines the stages involved in its creation. Readers can engage with notebooks to either build or evaluate various machine learning algorithms. Experimenting with AutoML can yield impressive data science outcomes, allowing users to create high-quality models with greater speed and ease. Moreover, automated machine learning processes quickly analyze datasets, recommending the most effective data features and algorithms while also fine-tuning models and clarifying their results. This comprehensive approach ensures that businesses can harness the full potential of their data, driving innovation and informed decision-making.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ChatGPT Yes 
OCI Data Labeling No 
OpenAI Yes 
Oracle Cloud Infrastructure No 
Zapier Yes 

Integrations

ChatGPT No 
OCI Data Labeling Yes 
OpenAI No 
Oracle Cloud Infrastructure Yes 
Zapier No 

Pricing Details

$559.75 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 No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

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

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Elham.ai

Founded

2025

Country

Saudi Arabia

Website

elham.ai/

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/data-science/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

MLBox Reviews

MLBox

Axel ARONIO DE ROMBLAY
Neural Designer Reviews

Neural Designer

Artelnics