Ai development services| Viitorcloud

Advanced AI Services for Future Empowerment

EMBRACE THE FUTURE with ViitorCloud's Artificial Intelligence services. We are experts in AI Solutions that address and fulfill a business's unique needs, ensuring fuel growth and the realization of business value in your existing operations.

At ViitorCloud, we not only use AI; we evolve with it, continually upgrading our services to the latest field trends. Our AI professionals work with you to understand exactly what challenges and opportunities are specific to your business so that when we develop our AI services, we make sure they are not only innovative but also practical and applicable.

ViitorCloud empowers your business with the required AI technologies to drive growth, enrich the user experience, and completely revolutionize your operations

Trusted by global enterprises

Success Stories

Revolutionizing art discovery with an immersive experience

Provided a seamless and engaging experience of searching paintings within the Museum of Art and Photography by hand-drawn shapes.

A portal to keep you duly updated with all the current affairs

Stay Updated with all the latest current affairs in wide ranges of categories from currency to war or Fashion to Education.

Streamlining B2B sales with a user-friendly portal

Specialized device designed for low powered long distance Data transmission and support integration with existing solutions.

AI Services We Offer

AI Strategy

A thorough study of your business undergoes to strategize tailored AI solutions that meet your vision and goals with your business.

AI Discovery Workshop - As a Service
Exploratory Data Analysis (EDA)
Hyperparameter Tuning
Model Optimization
Model Fine-Tuning
Model Quantization
MLOps (Machine Learning Operations)
AIOps (Artificial Intelligence for IT Operations)

Harness the power of AI with our tailored solutions.

Find Your Right Solution

Azure AI search service

Enhance search experiences with intelligent capabilities.

AWS Bedrock LLM service

Scale machine learning for AI-driven insights.

Azure OpenAI service

Access powerful language models for natural language understanding.

Talk with database

Enable natural language communication with databases.

Report

Utilize creative AI to drive Innovation and Streamline workflow

Generative AI is a cutting-edge technology that utilizes deep learning algorithms to create original content such as text, images, audio, and code.

As an AI enthusiast, I spearhead our AI initiatives to automate processes, enhance productivity, and enable data-driven decisions in real time. With machine learning and artificial intelligence, we can unlock new levels of efficiency and innovation for your business. Let's embark on an AI-powered transformation journey together.

- Vishal Rajpurohit

AI Playbook

At ViitorCloud, we seamlessly integrate Artificial Intelligence into business operations through a structured, expert-driven approach that ensures transformative results for long-term success.

Acquire the data, store and clean it, perform feature engineering, quality checks on bias mitigation, exploratory data visualization, and transformation visualization.

1

Raw Data Transformation

Acquire the data, store and clean it, perform feature engineering, quality checks on bias mitigation, exploratory data visualization, and transformation visualization.

Data acquisition and cleaning for quality
Feature engineering to create relevant input variables
Visualizing data to explore patterns & relationships

2

Model Selection and Engineering

Our experts identify the problem type, analyze some characteristics of your data, and finally review performance requirements for model selection and, if necessary, construction of custom models.

Assess data and performance requirements
Choose proper AI models for the problem
Develop custom models

3

Al Model Training

We set up a training environment, tune hyperparameters, address overfitting/underfitting, validate and test models, and, finally, monitor the training progress and performance metrics individually.

Choose a local or cloud environment for model training
Optimize model hyperparameters
Validate models and track training progress

4

Deployment and Beyond

Finally, we choose a deployment environment based on need (cloud, edge, or on-premise), ensure model explainability, set up monitoring tools, and incorporate a process for continually improving model iteration.

Select the deployment environment
Implement monitoring tools for model performance
Establish continuous improvement processes

1

Raw Data Transformation

Acquire the data, store and clean it, perform feature engineering, quality checks on bias mitigation, exploratory data visualization, and transformation visualization.

Data acquisition and cleaning for quality
Feature engineering to create relevant input variables
Visualizing data to explore patterns & relationships

2

Model Selection and Engineering

Our experts identify the problem type, analyze some characteristics of your data, and finally review performance requirements for model selection and, if necessary, construction of custom models.

Assess data and performance requirements
Choose proper AI models for the problem
Develop custom models

3

Al Model Training

We set up a training environment, tune hyperparameters, address overfitting/underfitting, validate and test models, and, finally, monitor the training progress and performance metrics individually.

Choose a local or cloud environment for model training
Optimize model hyperparameters
Validate models and track training progress

4

Deployment and Beyond

Finally, we choose a deployment environment based on need (cloud, edge, or on-premise), ensure model explainability, set up monitoring tools, and incorporate a process for continually improving model iteration.

Select the deployment environment
Implement monitoring tools for model performance
Establish continuous improvement processes

How We Empower Industries with Our AI Services

Logistic

Integrate AI to transform logistics operations in supply chain management, route optimization, demand forecasting, and inventory management for cost efficiency, timely deliveries, and high customer satisfaction.

Computer Vision for object detection and tracking
Route optimization and planning
GenAI for automated document processing
Real-time fleet management
Dynamic pricing optimization for transportation services
Customer service and Chatbot
Warehouse Automation

AI in logistics can reduce operations costs while increasing safety.

“The platform (built by ViitorCloud) gives control to decision makers by providing actionable insights of real estate contracts and to negotiate renewals or new contracts with higher revenue.”

CEO

The Palladium Group, India