Machine Learning Model Services We Offer
End-to-End Development
From designing to training and deploying, we excel in custom ML models development. With a thorough approach at hand, our team ensures every project delivers tangible outcomes.
Optimization and Performance Tuning
To fine-tune ML models for accuracy, speed, and efficiency, we optimize algorithms, hyperparameters, and computational resources. All to meet your requirements to the dot.
Model Deployment
Whether your goal is cloud, on-premise, or edge environment, we have the right skills to deploy your model and achieve seamless integration and real-time inference capabilities.
Model Integration
If you want to achieve intelligent automation and data-driven decision-making, then integrating a model with your existing applications and workflows is a must. We help.
MLOps and Model Lifecycle Management
Besides ML model engineering, we implement robust MLOps pipelines to automate training, monitoring, and retraining. So you can enjoy continuous performance improvements.
Scalable ML Infrastructure Design
For enterprise-grade applications, our team architects scalable, high-performance ML infrastructures with the use of cloud-native and distributed computing solutions.
Your Partner for Glitch-Free Models
Since machine learning was born, Velvetech has been on the cutting edge of ML development. Thus, it was just a matter of time before model-based systems engineering found its way into our pool of expertise, extending the software development services we provide.
Having delivered numerous projects for clients from a variety of industries, our team deciphers their nuances and knows how to bring maximum value for each. From designing custom machine learning models to leveraging existing ones, we’re the partner to support your development needs.
Ride the wave of advanced technology with us!
ChatGPT-Based Assistant
Velvetech leverages ChatGPT 4.0 to create an AI-powered search assistant for a finance data provider. With the project delivered over 5 weeks, the client acquires a robust solution that interacts with users and fetches the requested financial and stock market information.
Models for Ad Revenue Optimization
We help the client, an online advertising network, enhance campaign management, boost revenue forecasting, and optimize ad performance. Our team uses data modeling and builds algorithms that collect and process data to further provide insights. Equipped with the knowledge, the company can serve its customers better.
Predictive Maintenance for Food Production
Fraud Detection Tool for a Fintech Startup
eCommerce Recommendation Engine
What Our Clients Say
Our Technical Background for Your Gain
Cutting-Edge ML Techniques
Our team dives into the latest advancements in machine learning like deep learning, transfer learning, and generative AI to build high-performing and future-proof models.
AI Scalability and Performance
We approach ML model engineering with scalability in mind to ensure optimal performance in high-load environments while handling large datasets and real-time processing.
Domain-Specific ML Applications
We tailor machine learning models to industry-specific needs and we know what it takes to deliver AI-driven solutions for healthcare, finance, manufacturing, and beyond.
Data-Driven AI Strategy
By employing effective models, advanced data engineering, and automated ML techniques, Velvetech’s team transforms raw data into valuable insights for better decision-making.
Ethical & Explainable AI
Through responsible AI practices that ensure transparency, fairness, and interpretability in ML models, we foster trust and regulatory compliance to avoid any ethical issues.
Edge AI & Embedded ML
To enable real-time intelligence in IoT, robotics, or mobile applications, we develop lightweight, efficient AI models optimized for edge devices and embedded systems.
Start with engineering your next ML model
Types of Machine Learning Models We Design
Supervised Learning Models
- Forecast sales
- Predict trends
- Analyze risks
- Categorize data
- Detect fraud and anomaly
Unsupervised Learning Models
- Customer segmentation
- Targeted marketing
- Extract meaningful features from high-dimensional data
- Create new data from learned patterns
Reinforcement Learning Models
- Optimize processes in robotics, supply chains, and finance
- Automate trading, self-driving algorithms, and dynamic pricing
- AI-driven simulations and autonomous decision-making
Natural Language Processing Models
- Understand customer feedback or detect spam
- Automate customer support and data extraction
- AI assistants and document summarization
Computer Vision Models
- Identify faces, defects, or products
- Medical imaging or autonomous vehicles
- Extract text from images and scanned documents
Time Series & Forecasting Models
- Sales forecasting or demand planning
- Financial modeling and stock predictions
- Combine statistical and ML-based approaches for improved accuracy
Anomaly Detection Models
- Fraud detection, cybersecurity threats
- Uncover hidden anomalies in complex datasets
- Real-time monitoring of industrial IoT and financial transactions
Recommendation Systems
- Customer behavior-based recommendations
- AI-driven personalization in eCommerce, media, and education
Existing Models We Implement
Build from scratch or deploy an existing tool?
ML Modeling Process We Follow
Building an ML Model from Scratch
- Problem definition and business understanding
- Data collection and preparation
- Model design and training
- Model evaluation and optimization
- Deployment and integration
- Continuous monitoring and maintenance
Deploying a Ready-to-Use Model
- Business needs assessment
- Model selection
- Model customization and optimization
- Infrastructure setup and integration
- Performance validation and testing
- Deployment and ongoing optimization
