Machine Learning Development Services
Our ML Development Services
We provide a variety of machine learning services to help your business make better use of smart technology. These include expert machine learning consulting services, developing and training models using classic ML algorithms or deep neural networks, post-training and fine-tuning of already pre-trained models to suit your specific conditions, and much more.
Custom Machine Learning Solution Development
If you want to predict customer behavior, brush up on operations, or automatically perform repetitive chores, we can create customized machine learning models with your particular rules and conditions in consideration.
Predictive and Live Analytics Development Services
In case you need tools that give hints on what is likely to come next in your field, we can build software that uses past figures and current data to find hidden trends, give you ideas on handling risks, and help you grab new opportunities.
Natural Language Processing Services
We transform unstructured text records into actionable insights. Our services include analyzing sentiment, understanding languages, and automating tasks like content moderation or multilingual communication.
ML Integration Services
We bring smart systems into your operations, whether you work on-site or in the cloud. Our integration services direct everything from setting up data pipelines to deploying models and supervising algorithms.
Deep Learning Services
By using neural networks and advanced AI, we can make software that recognizes images and speech, understands language, and spots anomalies. Our machine learning helps make well-directed product suggestions, automates image checks, and makes diagnostics more correct in all sorts of fields.
Computer Vision Services
Need to spot objects, ID faces, detect areas, sort images, or classify videos? We can create computer vision systems that extract useful information from pictures and videos. With our tools, you can automatically fulfill visual-related tasks and improve search and tagging.
Our ML/DNN Development Expertise
Our team offers practical experience in the full spectrum of machine learning and deep learning, from custom model development to big data processing using the newest frameworks and algorithms.
To discover similar patterns in complex data, we build and train deep learning models that support a wide range of intelligent functions, from image and voice recognition to intelligent recommendations and predictive analytics.
Also, we are proficient in applying advanced technologies that can analyze massive, messy datasets and convert them into helpful assets. By using Hadoop and Spark big data tools, as well as distributed systems, we help businesses uncover hidden patterns, improve forecasting, and make data-backed decisions.
Before applying smart software, we ensure that your records are well-arranged and ready for analysis. Our preprocessing techniques include cleaning, transforming, and aggregating information to improve its quality and suitability for modeling.
We work with a large collection of machine learning and deep learning frameworks, including TensorFlow, PyTorch, scikit-learn, and others. These tools allow us to quickly prototype, fine-tune models, and deploy software to cloud, mobile, and on-premises environments.
We're skilled in various supervised, unsupervised, and reinforcement learning algorithms such as Logistic Regression, Decision Trees, Random forests, Gradient Boosted trees, XGBoost, kNN, SVM, SVR, k-Means, PCA, SARSA, and many others. We choose the best ones for your goals to guarantee accurate predictive modeling and data analysis with top performance.
We offer the development and training of various types of deep neural networks, as well as fine-tuning pre-trained models to fit your requirements. Our expertise covers a wide range of model architectures, including RNN, LSTM, Transformer, GPRO, CNN (e.g., AlexNet, ResNet), Vision Transformer, Autoencoder, GAN, and Diffusion models. For fine-tuning, we use advanced techniques such as PEFT, LoRA, QLoRA, SFT, RLHF, and DPO.
Machine Learning Development Technologies and Tools
We use a rich mix of technologies and tools to build machine-learning solutions that work for your business.
Languages
- Python
- R
- C++
- Java/Kotlin
Libraries and frameworks
- TensorFlow
- Skikit-Learn
- Theano
- MXNet
- NumPy
- NLTK
- Pandas
- SparkML
- Sonnet
- DarkNet
- Catboost
- XGBoost
- Annoy
- Faiss
- NvidiaDigits
Network architectures
- Residual neural network (ResNet)
- Recurrent neural network (RNN)
- Convolutional neural network (CNN)
- Regression models
- Transformer
- Vision Transformer
- Autoencoder
- GAN
Cloud Technologies
- Amazon SageMaker
- Amazon Rekognition
- Amazon Lex
- Amazon Polly
- Azure Machine Learning
- Azure Cognitive Service
- Language Understanding Intelligent Service
- Azure Bot Services
- Cloud Machine Learning Engine
- Cloud Vision API
- Cloud Natural Language AI
- Cloud Speech API
- DialogFlow
- RunPod Serverless
Date visualisation
- BI Tools
- Power BI
- Tableau
- Qlik
- Plotly
- Matplotlib
- Seaborn
- ggplot2
- Highcharts
Machine Learning Solutions for Different Industries
As a machine learning development company, we do our best to create practical ML solutions that could cope with real business challenges in any industry.
Retail
With our custom ML development solutions and systems, retail businesses can improve customer delight with personalized suggestions and targeted marketing, predict demand, control inventory, and analyze buyer reviews to multiply sales and loyalty.
Ecommerce
In ecommerce, we create software for product recommendations, fraud detection, and supply chain management. Our models enrich user experience, refine operations, and reinforce security.
Healthcare
In healthcare, we apply AI and machine learning development algorithms to create solutions that can sort out a variety of tasks related to diagnoses, patient monitoring, and drug discovery. Our software helps doctors look at tons of info, guess what might happen with a patient, and come up with good ways to treat them.
Banking
For lending officers and credit analysts, we develop advanced tools for detecting fraud, managing risks, and automating customer service. Our algorithms allow banks to instantly detect fraudulent activities, comprehensively assess credit risk, and improve customer interactions.
Education
Educators and learners can benefit from our ML software products that would personalize and simplify learning. Our team can build solutions to predict student performance, recommend learning paths, or automate administrative tasks.
Stock Market
With our custom predictive analytics systems, investors and traders can forecast stock prices, revise and adjust their trading strategies, and study market details to make far-sighted investment decisions and get higher profits.
Marketing
Our personalized ML marketing tools can help marketing teams flawlessly classify buyer personas per different categories, carry out sentiment analysis, plan budgets, and evaluate accomplished campaigns.
Real Estate
In real estate, we build software to assist agents in predicting property prices, examining market trends, portfolio management, or automating land administration. For those needing advanced help in complex tasks, we can create and enforce decision-making advisors or investment analysis bots.
Manufacturing
Production managers can acquire intelligent software to predict maintenance needs, advance quality control, cut down on downtime, and make the best of the supply chain.
Logistics
We help logistics by customizing solutions for planning routes, predicting demand, and improving supply chain visibility. Our models make operations more efficient, save money, and promise timely deliveries.
Agriculture
For private agricultural workers, we develop and embed tools that can extrapolate future yields, detect crop diseases, help do precision farming, and tune the use of resources.
Benefits of Machine Learning Development Services
We see machine learning as a tool that can genuinely change the way your business works. By adding it to your processes, you can work more pragmatically and better respond to your customers’ needs.
Personalization
Machine learning makes it possible to give each client a more personal touch, even when you have thousands of them.
Predictive Capabilities
AI systems can make trend prognoses, assume outcomes, and locate potential troubles before they convert into irreversible catastrophes.
Cost Reduction
By optimizing resource allocation and refining operations, ML helps reduce costs related to production, logistics, and customer service.
Live Insights
With live analysis, machine learning can supply companies with valuable insights so that they can act promptly to any change and make quick decisions.
Why Choose SCAND for Machine Learning Development?
Choosing the right team for machine learning development projects is no less important than other aspects because a partner must not only understand the technical side but also have shrewdness to get what you need.
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Newest Tools and Techniques
We use the latest AI and machine learning development technologies, from deep learning to advanced tools such as Transformers architecture and fine-tuning techniques.
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Exclusive Software
We don’t produce "same for everyone" models. Instead, we build or fine-tune machine learning models made specifically for your circumstances.
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360-Degree Support
We take care of everything in development, from collecting and preparing your data to assembling the model, checking it, and putting it into action.
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Business-First Approach
We make sure your machine learning solution 100% matches your mission and design the solution to bring real results.
Success Stories
- LLM
- Python
- H100-powered GPU
- LangChain
- Pandas
- NumPy
Our Machine Learning Development Process
Machine learning projects can feel confusing, but we’re here to make the process clearer and trouble-free. Our several-step approach allows you to not only watch the progress but also make corresponding changes.
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2. Working with Your Data
In machine learning, you're only as good as your data. We help you collect the right data sources: customer records, transaction logs, product data, sensor feeds, etc. Then, we clean it up and get it organized so it's ready to use.
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3. Building the Model
Now it’s time to move to the development part. Depending on your project, we may train a custom model from scratch or fine-tune an existing one. Either way, we pair it with your use case, your audience, and your workflows, so the results are truly practical.
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4. Checking & Tuning
When the model is ready, we put it through real-life tests. We check if its predictions are right and if it's fast enough. If something's off, we adjust things and retrain it until it works as expected. You’ll see clear results, not just confusing metrics.
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5. Deploying & Supporting
We integrate the finished model into your apps, platforms, or systems, wherever you need it to run. And we stick around after it's up and running. We keep an eye on how it's doing, retrain it if needed, and help with updates. That way, your ML system just keeps getting better.
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1. Getting to Know You
First, we get to know what you're planning and what you want to achieve. What problems are you trying to fix, or what improvements are you hoping to make? We discuss your ideas, figure out which ML model fits your needs, pick the appropriate tools, and create a project plan that works practically and financially.
Our Engagement Models
We understand that every business is different. That's why we offer several options to work with us:
Project-Based
We manage the entire project from start to finish, delivering a ready-to-use product built per your specific demands. This approach is perfect for projects with clear goals and timelines.
Dedicated Team
We provide a team of experts who work only on your project. This model is perfect for long-term development projects that need occasional support and supervision. Plus, you have full control over the team and their tasks.
Time and Material
We offer a flexible time and material model, where you pay for the actual time and resources used in development. It’s perfect for projects that evolve or when the scope isn’t fully clear at the beginning.
FAQ
