Machine Learning Development Services
Automating Business Processes to Enhance Customer Experience with AI-powered
Machine Learning Solutions
We, at Oodles, build machine learning (ML) solutions that accelerate business processes to unlock new opportunities. Our artificial intelligence team develops function-specific and industry-oriented ML models that are well-researched for achieving your goals. We train AI algorithms with historic customer data to generate meaningful customer insights for well-informed decision making. Our machine learning development services include on-premise or cloud deployment options
Machine Learning App Development Services
Computer Vision
Our machine learning capabilities include computer vision development services that are effective at image identification, facial recognition, object detection, and more. We use comprehensive libraries such as OpenCV and TensorFlow to detect real-time image differences with over 80% accuracy. Our AI team uses computer vision's neural networks to conduct deep video analytics and derive granular customer insights to enhance experience
Chatbot Development
Our chatbot integration services augment your efforts to handle customer interactions across websites, applications, and social media platforms. We analyze your business objectives to choose the right bot framework such as Amazon Lex, IBM Watson, etc. Our AI-powered chatbot interfaces engage customers and resolve routine queries and issues for banking, healthcare, automobiles, and other businesses effectively
Machine Learning Insights
We program machine learning (ML) algorithms to deploy predictive engines across organizations and media channels for better customer data analysis. We build ML solutions to inspect customer records, log analytics, geospatial data, and social media postings to recognize trends and make accurate predictions. We have hands-on experience in using supervised, unsupervised, semi-supervised, reinforcement, and other major ML algorithms to derive smarter business insights
Natural Language Processing
Our NLP services enable eCommerce, customer support, recruitment, and consumer-led businesses to channelize critical customer interactions and accelerate business growth. Our demonstrable natural language processing abilities include unique product recommendations, streamlined customer interactions, display ad integration, etc. We process structured and unstructured datasets including social media postings for sentiment analysis, threat detection, intelligent FAQ systems, and more
Robotic Process Automation
Our diverse artificial intelligence services facilitate Robotic Process Automation to accelerate small and large business operations. We use automation tools such as JBPM and Optaplanner to deploy RPA for eCommerce, healthcare, and financial services businesses. Our NLP engines and conversational designs result in multi-tasking RPA implementation that supports simultaneous data entry on multiple windows
Our Cloud-based Machine Learning Solutions
We have experience in using AWS cloud services to develop AI solutions that serve as platforms for innovation. We are skilled at using AWS to improve customer interactions with our machine learning development services
Personalized Recommendations
Provide real-time product and content recommendations, tailored search results and targeted market promotions to your customers for better engagement
Text Analytics
Gain insights and find relationships in unstructured text with natural language processing (NLP) to analyze customer emails, support tickets, product reviews, and social media interactions for sentiment analysis
Conversational Intelligence
Deploy chatbots to serve your customers round the clock and increase customer retention. We create informational bots, call center bots, and application bots
Document Analysis
Extract insights from documents automatically to save time and manual efforts with Artificial Intelligence. Accelerate document review processes to focus on value-added activities
Text-to-speech and Speech-to-text
Accelerate documentation and writing tasks, augment customer service efforts, and reach a wider audience with text-to-speech and speech-to-text capabilities. We enable you to overcome language and disability challenges
FAQs (Frequently Asked Questions)
Machine learning development builds custom models that learn from your data to automate decisions, predict outcomes, and uncover insights. It drives personalization, fraud detection, demand forecasting, and operational efficiency across industries.
We use TensorFlow, PyTorch, Keras, scikit-learn, and cloud ML platforms (AWS SageMaker, Vertex AI, Azure ML). We choose based on your use case, scale, and deployment targets (cloud, edge, on-prem).
We assess data quality, volume, and availability. We build pipelines for cleaning, augmentation, and labeling. For limited data, we use transfer learning and synthetic data. We help define minimal viable datasets for faster time-to-value.
Yes. We deploy models as REST APIs, serverless functions, or edge endpoints. We use containerization (Docker, Kubernetes), CI/CD, and monitoring (MLflow, model drift). We ensure low-latency inference and cost-efficient scaling.
We build predictive analytics, computer vision, NLP, recommendation engines, anomaly detection, and time-series forecasting. We cover classification, regression, clustering, and deep learning (CNNs, RNNs, transformers) tailored to your domain.
POCs take 4–8 weeks; production systems 2–4 months. We offer phased delivery: quick validation first, then scaled models and production deployment. Timeline depends on data readiness and complexity.
Yes. We fine-tune LLMs (LoRA, QLoRA, full fine-tuning) for domain-specific tasks. We build custom models from scratch when off-the-shelf models don’t fit. We integrate with Bedrock, Vertex AI, and open-source models.
