From model development to deployment and monitoring, OrangeMantra is your trusted MLOps company to help you simplify, automate and streamline your Machine Learning model workflows.
Accelerated ML Model Deployment
Scalable ML Solutions 
Continuous Model Monitoring
Compliant ML Practices
Enhanced Team Collaboration 
Cost-Efficient Operations
Capitalize on MLOps to analyze large data models and draw deep insight for genuine value addition and business differentiation.
We automate and standardize MLOps processes across its lifecycle including model development, testing, integration, release, and infrastructure management. So, whether it is slow deployment, model degradation, or high operational costs, our proactive MLOps services take care of it all
Awards & Recognitions
Error Reduction Rate
Increased ROI
Golang Experts
Let’s be clear, if you have an application, the future is not without MLOps.
MLOps empowers your digital presence by combining Machine Learning and DevOps practices to automate the deployment, monitoring, and management of ML models. This way MLOps benefits your business with faster time-to-market, improved model accuracy, and reduced operational costs.
We maintain a large team that brings deep expertise in machine learning, data engineering, and DevOps practices to empower your business. Using the latest tools and technologies, we deploy and manage your ML models for your peace of mind.
The competition will keep intensifying, the only way to win is through innovations like ML Ops.
We automate the deployment process to bring ML models to production swiftly helping you stay ahead every time.
With continuous monitoring and update, we make sure your models maintain and enhance their power.
We make sure that your ML models scale seamlessly, meeting the growing business and consumer demands.
With automation capability, we accelerate your routine tasks and cut down on operational expenses and error occurrences.
Our MLOps solution fosters better communication between data scientists and operations teams.
To integrate robust security and compliance that checks into your ML workflows is our utmost priority.
A renowned chain of retail stores developed a real-time predictive modeling solution to enhance their in-store inventory management and product forecasting. They utilized MLOps for efficient training and deployment of machine learning models. Thus, they were continuously monitored and retrained, resulting in improved accuracy over time. This helped them reduce out-of-stock incidents and improve customer satisfaction.
A Fortune 500 logistics company operating in 130 countries faced challenges managing over 1000+ disparate machine learning (ML) models. This led to inefficiencies and rising costs. There was lack of standardization in model development, difficulty in tracking and monitoring and the obvious escalations in licensing fees. By implementing MLOps platform, they achieved centralized tracking, automated monitoring and standardization of the technology stack.
Our sophisticated tech stack ensures top-class solutions tailored to your unique needs.
TensorFlow
PyTorch
Scikit-Learn
Azure ML
Docker
Kubernetes
Azure DevOps
Jenkins
Prometheus
Grafana
ELK Stack
Azure Monitor
Nmap
ZAP
SonarQube
Mend
Explore our top-notch MLOps services designed to meet your business needs.
Building, training, and deploying ML models and their flawless integration with existing systems.
Using advanced tools for continuous monitoring of model performance, making real-time adjustments and improvements.
Data collection, cleaning, and preprocessing to ensure high-quality data availability for training your ML models.
Tracking experiments, code changes, and model versions to achieve reproducibility and collaboration among teams.
Infrastructure support to scale models with increasing data volumes and user demands, often leveraging cloud.
Incorporation of ML workflows into Continuous Integration/Continuous Deployment pipelines to automate deployment.
Using advanced platforms to facilitate collaboration between data scientists, engineers, and business stakeholders.
Guidance on implementing ethical AI practices and ensuring compliance with relevant regulations and standards.
Training your teams to effectively use MLOps tools and ongoing support to address any operational challenges.
Tailored MLOps solutions that meet specific business needs, including unique workflows and integration requirements.
MLOps services have the capability to empower businesses across industries.
Our refined process with streamlined and efficient steps is ready to deliver exceptional MLOps solutions just for your business.
Understanding your business needs and challenges.
Crafting a customized MLOps strategy.
Using advanced tools to train ML models.
Automating the deployment process.
Ensuring model performance and accuracy.
Providing continuous support and updates.
OrangeMantra meets your expectations with unparalleled expertise and commitment.
