HOOSHNAMA
Elevate Your Business with AI Excellence! Providing innovative solutions for modern technology companies and individuals. Our commitment to creativity and quality sets us apart in the market. Join us in transforming the future with cutting-edge AI technologies.
Our Solution
A comprehensive platform and marketplace for AI supply and demandmanagement
Bridging the Gap between business needs and AI innovation
Powering the AI economy
A trusted hub for developing AI product and services
Our Services
Crowdsourced Data labeling service
- Confidential Data Labeling
it is a cost-effective and time-efficient method for data labeling required by researchers, businesses, and organizations.
- Confidential Data Labeling
It enables organizations to label their proprietary data while keeping it confidential.
- Income Opportunity for All
it provides an opportunity for individuals to earn income regardless of their educational background, age, or location.
- Quick and easy sign-up
Individuals can participate in the system as either requesters (data owners) or performers (labelers).
- Project Definition Flexibility Requesters can create either public or private labeling projects.
- Comprehensive Labeling Infrastructure The system provides all necessary infrastructure for labeling various types of datasets, including images, videos, texts, and audio.
- Accuracy Assurance To ensure labeling accuracy, multiple people label the same data, and the final label is determined by majority vote.
AUTOML
- No-code AI development: Build AI models without writing any code or the need for software and hardware
- Automated training :Trains a wide range of machine learning algorithms including Random Forest Classifier, Ridge Classifier, lightgbm, Extra Trees Classifier, xgboost, Logistic Regression, K Neighbors Classifier, SVM, Ada Boost Classifier, Gradient Boosting Classifier, Dummy Classifier, Decision Tree Classifier, …
- Model evaluation: Provides comprehensive evaluation metrics such as accuracy, precision, F1, RECALL
- Best model selection: Allows users to select the best-performing model based on evaluation results.
- Model Usage: Supports Online and Offline Accessibility of the selected model.
Data Engineering and AI Model Development
- Essential Infrastructures for AI Model Creation
Data scientists and AI specialists require various hardware and software infrastructures to develop an AI model
- Lifecycle Management for AI Model Development
This service allows data scientists to effectively manage the entire AI model development lifecycle.
- web-based development environments and Resource Management
Users have access to web-based development environments for JupyterLab, RStudio, and Visual Studio Code1 enabling them to manage hardware resources such as CPU, RAM, and notebook storage. - Comprehensive Pipeline and Run Management
The service offers features to manage, track, and visualize pipeline definitions, runs, experiments, and ML artifacts
API Marketplace
- AI Model APIs for Seamless Integration: provides APIs of various AI models to app developers and businesses, making it easy to integrate AI into their products
- Automated Model-to-API Pipeline: Empower AI experts to effortlessly convert their models into APIs via our pipleline, share them with others, generate revenue.
- SDK-Powered :This service interacts with app developers and AI specialists through an SDK
- Cost-effective: Pay-per-use API or subscription-based pricing to manage costs.
Time-saving: Avoids the need for building AI models from scratch, accelerating development time