Predictive Modelling Services
With deep expertise in machine learning frameworks and libraries, NLP, deep learning, data visualization/processing tools, and DevOps, we build powerful machine learning models that can drive transformative business outcomes. Whether you want to build a custom ML model from scratch, optimize an existing one, or deploy it in the cloud, we have you covered. Our custom ML models, including generative AI models, multimodal models, transformer models, and recommender systems, are optimized for business-specific use cases. Contact Us
Trusted By Leading Enterprises
Our Predictive Modelling Services
Custom Model Development
Our ML model engineering services specialize in custom model development, covering all aspects of the ML lifecycle, such as data collection, data preparation, model training, model testing, deployment, and monitoring. Following the ML lifecycle, we can ensure the model is developed to meet the client’s specific needs and perform as expected.
Model Optimization
Our model optimization services are designed to help you get the most out of your existing machine-learning models. We use advanced techniques such as transfer learning, ensembling, and pruning to fine-tune your models, improving their accuracy and performance to help you achieve desired results.
Model Integration
We excel at deploying machine learning models into production environments, ensuring optimal performance and seamless integration. Whether it’s in the cloud or on-premises, we fine-tune your models to deliver exceptional results. We aim to provide efficient and reliable model integration services, enabling you to maximize the value of your models for your business.
Model Maintenance and Monitoring
We offer comprehensive machine learning model maintenance and monitoring services, ensuring your models are continuously optimized for performance and efficiency. Our team closely monitors the performance and accuracy of the models and re-trains them as needed to maintain optimal performance.
Our Predictive Modelling Expertise
Machine Learning
Our ML engineers demonstrate a deep understanding of statistical analysis and probability theory, along with expertise in Python, R, and Java programming languages, which enables them to develop reliable ML models and evaluate their performance accurately.
Model Fine-tuning
Our ML engineers have expertise in monitoring and maintaining models for optimal performance and accuracy. They fine-tune models as needed, using various techniques such as hyperparameter tuning, transfer learning, ensembling and pruning.
Data Engineering
Our data engineers leverage their knowledge of data processing frameworks, such as Apache Spark and Hadoop and perform tasks such as data cleaning, feature extraction and data visualization to preprocess and analyze the data effectively.
Expertise Across Industries
Our team of ML engineers with experience working across industries such as healthcare, finance and e-commerce, leverage their domain expertise and knowledge to develop custom ML models that meet the unique needs of each business, including regulatory requirements.
Cloud Computing
Our developers’ experience deploying and scaling cutting-edge AI solutions has given them in-depth knowledge of all major cloud computing platforms, including AWS, Google Cloud and Microsoft Azure.
Software Engineering
With a deep knowledge of software engineering principles and practices, including version control, testing, and deployment, our ML engineers ensure that ML models are developed in a controlled environment and tested thoroughly, ensuring the final product meets the highest quality standards.
Why Hire DeepSurge for Predictive Modelling Services?
Technical Skills
With a strong track record in ML model engineering, involving developing and deploying models in diverse industries, our engineers have the required technical skills, which include expertise in programming languages, machine learning algorithms, data preprocessing and cloud computing.
Data Security
We have robust data security protocols in place to protect your sensitive data throughout the model engineering process. We maintain stringent data security measures such as access control, authorization and authentication that ensure your data is encrypted, backed up and secured, preventing unauthorized access.
End-to-End Solution Development
Our full-cycle solution development services include ideation, development, testing, deployment, and maintenance. We work closely with clients to understand their requirements and business objectives and offer upgrade services to ensure the solution can keep pace with the rapidly evolving technology space to ensure it’s future-ready.
Infrastructure
Our focus on infrastructure as a key component of ML model engineering has enabled us to build a world-class hardware and software infrastructure that features high-performance computing, distributed computing, and large-scale data processing capabilities, making it possible to support even the most complex and demanding ML projects.
AI Models We Have Expertise In
Our Engagement Models
Dedicated Development Team
Our developers leverage cutting-edge cognitive technologies to deliver high-quality services and tailored solutions to our clients.
Team Extension
Our team extension model is designed to assist clients seeking to expand their teams with the precise expertise needed for their projects.
Project-based Model
Our project-oriented approach, supported by our team of software development specialists, is dedicated to fostering client collaboration and achieving specific project objectives.
Get Started Today
Contact Us
Fill out the contact form protected by NDA, book a calendar and schedule a Zoom Meeting with our experts.
Get a Consultation
Get on a call with our team to know the feasibility of your project idea.
Get a Cost Estimate
Based on the project requirements, we share a project proposal with budget and timeline estimates.
Project Kickoff
Once the project is signed, we bring together a team from a range of disciplines to kick start your project.
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