AI Development Services

AI Development ServicesFocused on Your Future

Custom AI Development Services for futuristic performance

We are an AI development company, based in Mumbai and Bangalore, helping businesses rediscover and redefine themselves in an era of AI solutions and machine learning systems that evolve constantly.

We help your business achieve that right blend of man and machine specific to your business use case and market situation. AI is no longer a future dream you can ignore. It’s the reality businesses are embracing today to stay relevant.

Disruptive Transformation, Diverse Industries

AT&T Foods

Comprehensive logistics management with our state-of-the-art logistics solution - Cloudtrack

Seasoned Technology Providers Enable Solid Site Reliability Engineering

Multidisciplinary Technologies Require MultiDisciplinary Experts

Trends in complementary fields like Big Data and Cloud Platforms routinely impact technologies like Artificial Intelligence and Machine Learning. At Cloudesign our teams specialize across all these domains and hence are primed to provide you with the best solutions your money can buy.

Guaranteed Data Privacy

Our rigorous data agreements are designed to guarantee 100% privacy. Data is your most important asset; hence, we leave no stone unturned in securing it.

Forward Thinking, Fast Paced, Futuristic Solutions

Our teams follow agile processes and DevOps development to deliver your solutions way ahead of time. Coupled with our forward-thinking expert designs, this ensures you receive the most up-to-date solution every single time.

Proven TrackRecord

Our numerous AI and ML accomplishments testify to our triumphs in this challenging domain. Expert solutions can only be created with expert teams, making Cloudesign a natural choice for your AI ventures.

Our AI Development Services Process

Assess Business Readiness for AI

Evaluate existing infrastructure

Assess data maturity and availability

Analyze workforce skills and readiness

Define business objectives and ROI expectations

Identify potential AI use cases

Identify AI & ML Deployment Areas for Maximum Impact

Analyze business processes and workflows

Identify pain points and inefficiencies

Prioritize areas based on ROI and feasibility

Map AI solutions to specific business challenges

Conduct stakeholder consultations

Data Collection and Mining

Identify relevant data sources

Collect and aggregate data

Clean and preprocess raw data

Perform exploratory data analysis (EDA)

Ensure data governance and compliance

Building Custom Machine Learning Models

Define the problem statement and objectives

Choose appropriate algorithms and model architecture

Implement initial prototypes

Perform feature engineering and selection

Validate models through testing

Training ML Models on Datasets

Split data into training, validation, and test sets

Configure model hyperparameters

Train models using relevant datasets

Monitor training performance metrics

Address issues like overfitting or underfitting

Insight Generation and Analytics

Apply trained models to new data

Visualize results and model outputs

Generate actionable insights

Interpret findings for business stakeholders

Create reports and dashboards

Driving Business Processes and Decisions

Integrate AI models with business workflows

Automate decision-making processes

Provide decision-support tools

Continuously monitor performance impact

Ensure compliance with business policies

Proactive Maintenance and Updates

Implement performance monitoring tools

Set up alerts for anomalies

Regularly retrain models with new data

Apply software patches and updates

Conduct periodic audits and evaluations

Assess Business Readiness for AI

Evaluate existing infrastructure

Assess data maturity and availability

Analyze workforce skills and readiness

Define business objectives and ROI expectations

Identify potential AI use cases

Identify AI & ML Deployment Areas for Maximum Impact

Analyze business processes and workflows

Identify pain points and inefficiencies

Prioritize areas based on ROI and feasibility

Map AI solutions to specific business challenges

Conduct stakeholder consultations

Data Collection and Mining

Identify relevant data sources

Collect and aggregate data

Clean and preprocess raw data

Perform exploratory data analysis (EDA)

Ensure data governance and compliance

Building Custom Machine Learning Models

Define the problem statement and objectives

Choose appropriate algorithms and model architecture

Implement initial prototypes

Perform feature engineering and selection

Validate models through testing

Training ML Models on Datasets

Split data into training, validation, and test sets

Configure model hyperparameters

Train models using relevant datasets

Monitor training performance metrics

Address issues like overfitting or underfitting

Insight Generation and Analytics

Apply trained models to new data

Visualize results and model outputs

Generate actionable insights

Interpret findings for business stakeholders

Create reports and dashboards

Driving Business Processes and Decisions

Integrate AI models with business workflows

Automate decision-making processes

Provide decision-support tools

Continuously monitor performance impact

Ensure compliance with business policies

Proactive Maintenance and Updates

Implement performance monitoring tools

Set up alerts for anomalies

Regularly retrain models with new data

Apply software patches and updates

Conduct periodic audits and evaluations

Our AI Development Services Toolkit

Data Engineering

Advance Analytics

BI & Visualization

What our Customers Say

As a growing company, finding top-notch" engineering talent at affordable rates is one of the biggest challenges. Cloudesign, a strategic partner to us, has provided us Angular, ReactJs, Laravel & UI Developers at short notice for a wide range of projects at Cactus Communications. They are quick to provide candidates, always very quick in communications, and overall keeping the process low friction.Cloudesign Engineers took control of our projects in a way that exceeded my expectations. we have been happy with the quality of the software engineers as well as thier management team.