Under NDA
Saudi Arabia
FinTech
Micro-Investment Platform with SAMA-Compliant
Cross-platform solution for managing micro-investments and savings, compatible with SAMA fintech regulations including multi-factor authorization and KYC verification
AI Development Services
Unlock the full potential of Artificial Intelligence to drive innovation, optimize operations, and transform your business with cutting-edge, custom-built solutions tailored to your needs
ISO 27001
Information Security Management System
ISO 9001
Quality Management Systems
Award
Clutch 1000 Service Providers, 2024 Global
Artificial intelligence development services allow you to implement advanced AI-driven solutions tailored to your specific needs. You can improve generic software with custom AI tools that automate routine processes, enhance decision-making, and deliver deeper insights
Automate your business workflows
Leverage AI analytical insights
Boost customer experience
Artificial Intelligence Development Services We Offer
Receive a broad scope of artificial intelligence application development services to automate your core business operations and enhance client experience
Generative AI consulting
Get comprehensive advice on how to strategize and implement generative AI solutions that align with your business goals
- Assessment of current data infrastructure
- Feasibility analysis for AI technology implementation
- Creating AI implementation roadmap
Natural language processing (NLP)
Enhance customer interactions and automate text analysis and generation with intelligent NLP-integrated solutions
- Development of smart text analysis and sentiment detection systems
- Creation of chatbots and virtual assistants
- Building NLP-powered platforms for user interaction
Data processing and predictive analytics
Leverage AI-driven data processing and predictive modeling to turn large datasets into actionable insights and anticipate trends
- Implementation of scalable data infrastructure
- Development of predictive models and forecasting tools
- Creation of machine learning-based decision support systems
Custom AI solutions
Development of custom AI software solutions tailored to your industry requirements to automate routine tasks and optimize workflow
- Creation of AI tools tailored to industry-specific requirements
- Design and implementation of custom AI applications
- Integration of AI in your current application
Generative AI solutions
Leverage generative AI to create high-quality content quickly and efficiently, enhancing creativity in every aspect
- Implementation of generative models such as GANs and VAEs
- AI-driven content creation services
- Automating creative processes with AI technologies
Fine-tuning AI models
Fine-tune pre-trained AI models to your specific tasks, increasing accuracy across areas like NLP and image recognition
- Custom fine-tuning of pre-trained models for specific tasks
- Optimization of AI models for enhanced performance
- Accelerated AI deployment for faster results
Our Clients Say About Us
DenmarkFinTech
CTPO of Penneo A/S
"Cleveroad proved to be a reliable partner in helping augment our internal team with skilled technical specialists in cloud infrastructure."
Industry-Specific Artificial Intelligence Development Service Use Cases
Discover specific use cases where artificial intelligence drives innovation, efficiency, and competitive advantage across various business domains
AI for Healthcare
- Disease diagnosis
- Personalized treatment
- Health monitoring
- Predictive healthcare
AI for Supply Chain
- Demand forecasting
- Route optimization
- Supply chain visibility
- Inventory management
AI for FinTech
- Fraud detection
- Risk management
- Automated trading
- Personalized finance
AI for Marketplaces
- Personal recommendations
- Fraud prevention
- Client support automation
AI for Media
- Auto content creation
- Personal recommendations
- Auto content moderation
AI for Retail
- Personalized shopping
- Inventory management
- Customer insights
AI for Social networks
- Auto content moderation
- User behavior analysis
- Targeted advertising
AI for Travel
- Personal recommendations
- Dynamic pricing
- Client support automation
AI for Education
- Adaptive learning
- Virtual tutors
- Educational data analytics
Embrace the power of AI for your business
Contact us for a comprehensive consultation on AI implementation, considering your specific industry requirements
Case Studies
Under NDA
USA
Logistics
Transportation Management System with Route Planning
TMS for the logistics company with automated route planning and delivery points management modules. The solution's integration with the existing LMS
Denmark
Media
Cross-device Video on Demand Platform
Video streaming platform for movie renting and purchasing with multi-platform access. Blockbuster is a leading service in the Nordic countries and has 500,000+ subscibers
Learn about Cleveroad’s expertise in Projects Portfolio.
in Projects Portfolio.
Show moreArtificial Intelligence Development Solutions We Provide
We deliver custom AI solutions tailored for various industries, from standalone applications to key components in larger systems
Automation of routine tasks
- Data processing automation software
- Inventory management systems
- AI-powered customer support chatbots
- Workflow automation platforms
Forecasting and analytics
- AI-driven demand forecasting tools
- Customer behavior analysis software
- Dynamic pricing algorithms
- Trend prediction platforms
Personalization of user experience
- AI-powered recommendation engines
- Personalized marketing automation tools
- Customer segmentation software
- User behavior analysis systems
Optimization of business processes
- Supply chain management software
- Predictive maintenance solutions
- Production line optimization platforms
- Logistics and delivery route planning systems
Customer service enhancement
- AI-based customer service chatbots
- Virtual assistant platforms
- 24/7 customer query resolution systems
- AI-driven ticketing and CRM tools
Error reduction and accuracy boost
- AI-powered data validation tools
- Automated financial calculation systems
- Medical diagnosis support software
- Quality control systems in manufacturing
Competitive advantage
- AI-powered product development tools
- AI-driven market analysis platforms
- Competitive landscape monitoring solutions
- AI-enhanced customer engagement systems
Time and resource efficiency
- AI-based task management platforms
- Automated resource allocation tools
- AI-powered team collaboration solutions
- AI-driven project management software
Certifications
We keep deepening our expertise to meet your highest expectations and build business innovative products
ISO 27001
Information Security Management System
ISO 9001
Quality Management Systems
AWS
Select Tier Partner
AWS
Solution Architect, Associate
Scrum Alliance
Advanced Certified, Scrum Product Owner
AWS
SysOps Administrator, Associate
Our AI Development Process
We follow an established software development life cycle (SDLC) to build a cost-effective product that meets your requirements and market demands
Problem definition
Data collection & preparation
Model selection
Model training & evaluation
Model deployment
Goal:
Clearly define the business problem or task that AI will solve. Identify the objectives and success criteria
Key questions:
- What is the specific problem to be solved (e.g., prediction, classification)?
- What are the expected outcomes and performance metrics (e.g., accuracy, precision, recall)?
Goal:
Gather and process relevant data for AI model training by transforming raw data into a structured format through cleaning and preparation.
Key actions:
- Identify and secure data sources, ensuring variety, volume, and accuracy
- Clean the data by handling missing values and outliers, normalizing or standardizing for consistency
- Split the data into training, validation, and test sets to facilitate model evaluation
- Perform feature engineering to extract relevant features and consider data augmentation to enhance the dataset
Goal:
Choose the appropriate machine learning or deep learning algorithms based on the problem, data type, and goals
Key algorithms:
- Supervised Learning: Linear/Logistic Regression, Decision Trees, Random Forest, SVM
- Unsupervised Learning: K-means Clustering, Principal Component Analysis (PCA)
- Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer-based models
Goal:
Train the model using the training dataset and evaluate its performance with the test dataset to ensure generalization to new data
Key actions:
- Use cross-validation to assess the model's effectiveness during training
- Tune hyperparameters (e.g., learning rate, regularization) for optimal performance
- Utilize hardware accelerators (GPUs, TPUs) to speed up the training process
- Identify issues of overfitting or underfitting during evaluation
- Perform additional tuning or adjustments based on evaluation results
Goal:
Deploy the trained AI model into a production environment where it can make predictions on real-time data
Key actions:
- Containerization using Docker or Kubernetes
- Model versioning to manage different iterations
- Set up APIs or microservices for model access
Our Tech Environment for AI Development
We employ proven programming tools to create intelligent AI models and apps
Programming languages
Tools providing the foundation for coding, training, and deploying AI models, ensuring efficient model development and implementation
Python
Frameworks and libraries
Robust frameworks for building and training of machine learning and deep learning models, allowing to handle complex algorithms
TensorFlow
PyTorch
Keras
Scikit‑learn
HFT
Data analysis and big data processing
Systems designed for processing and analyzing large datasets help uncover valuable insights and drive data-driven decision-making
Apache
Hadoop
EMR
Developing and training AI models
Interactive tools offer environments for writing, testing, and refining AI models, streamlining the development process
Jupyter
PyCharm
Kaggle
Cloud platforms
Cloud-based solutions enabling scalable model training and deployment, providing flexibility and ease of access for AI projects
Google AI Platform
Microsoft Azure AI
Amazon SageMaker
Amazon Bedrock
Data management and preparation tools
Specialized libraries simplifying data handling, computational tasks, and visual representation, supporting more effective model building
Pandas
NumPy
Matplotlib
Seaborn
Employ Cleveroad's artificial intelligence development services to receive bespoke AI-driven applications offering smart solutions to your specific business tasks
Transform your business software with AI
Why Choose Us for AI Development
We offer tailored AI solutions to help your business harness the power of intelligent automation, data-driven decision-making, and enhanced operational efficiency
Expertise in cutting-edge AI technologies
Our team of AI engineers is skilled in the latest AI technologies, including machine learning, natural language processing, and computer vision. They hold certifications from leading platforms and have extensive experience in building AI solutions that solve real-world business challenges
Custom AI solutions for any industry
We design AI systems tailored to your specific business needs, whether it’s automating processes, improving customer interactions, or delivering personalized insights. Our team has experience in 8+ business domains, including Healthcare, Logistics, and FinTech
Quick delivery and integration
With a proven AI software development process, we accelerate AI solution delivery and integration into your operations. Our custom approach ensures faster time-to-market and helps you quickly start seeing the impact of AI on your business
Comprehensive AI development service
We offer on-demand AI development services, including AI consulting, custom AI application development, model training, evaluation and fine-tuning. Our specialists can create various AI solutions, including NLP systems, generative AI, as well as predictive analytics and machine learning systems
Industry Contribution Awards
Leading rating & review platforms rank Cleveroad among top software development companies due to our tech assistance in clients' digital transformation.
70 Reviews on Clutch
4.9
Award
Clutch 1000 Service Providers, 2024 Global
Award
Clutch Spring Award, 2024 Global
Ranking
Top Staff Augmentation Company, 2024 Global
Ranking
Top Flutter Developers, 2024 Global
Ranking
Top Web Developers, 2024 Global
Ranking
Top Financial App Developers, 2024 Global
Questions you may have
Learn everything you need to know about AI development service, its benefits and cost
What are AI services?
AI services encompass developing, deploying, and maintaining artificial intelligence solutions, including machine learning, natural language processing, computer vision, and predictive analytics, to help businesses automate tasks, make data-driven decisions, and improve operations.
How much does an AI service cost?
The cost of AI services varies depending on factors like project complexity, required technologies, data availability, and the service provider's expertise. It can range from $10,000 for basic models to $100,000+ for advanced custom solutions.
What are the latest AI development services offered by the top AI technology firms?
Top AI firms now offer cutting-edge services such as generative AI for content creation, AI-powered automation for business processes, advanced deep learning models for predictive analytics, and AI solutions for personalized customer experiences.
What are the essential components of AI development services?
Key components include data collection and preparation, model selection and training, algorithm development, deployment, and ongoing monitoring and optimization to ensure the AI solution remains effective and scalable.
What are the future trends in AI development services?
Future trends include increased use of generative AI, AI ethics and governance frameworks, hyper-automation, edge AI (AI processing on devices), and the integration of AI with emerging technologies like quantum computing and blockchain.
How do AI development services support innovation in businesses?
AI services drive innovation by enabling businesses to automate repetitive tasks, gain insights from data, create personalized customer experiences, optimize decision-making, and streamline operations, ultimately improving efficiency and competitiveness.
Lates Insights on AI Development
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