Personalize Offerings and Deliver the Best User-Experience Every time with Machine Learning 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
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200+
Awards & Recognitions
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95%
Error Reduction Rate
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90%
Increased ROI
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150+
Golang Experts
Our Prestigious Clientele
Machine Learning Operations Makes Your App Smart and Relevant
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.
Automate Operations at Scale with Our MLOps Pipeline
The competition will keep intensifying, the only way to win is through innovations like ML Ops.
Faster Time-to-Market
We automate the deployment process to bring ML models to production swiftly helping you stay ahead every time.
Maintained Model Accuracy
With continuous monitoring and update, we make sure your models maintain and enhance their power.
Smart Scalability
We make sure that your ML models scale seamlessly, meeting the growing business and consumer demands.
Cost Reduction
With automation capability, we accelerate your routine tasks and cut down on operational expenses and error occurrences.
Facilitate Collaboration
Our MLOps solution fosters better communication between data scientists and operations teams.
Compliance and Security
To integrate robust security and compliance that checks into your ML workflows is our utmost priority.
When You Partner the Right MLOps Company
Renowned Retail Business improved demand forecasting accuracy by up to 20%
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.
Leading Logistic Firm Overcame their ML Model Management Challenges
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.
We Leverage Advanced Technologies for Superior MLOps Solutions
Our sophisticated tech stack ensures top-class solutions tailored to your unique needs.
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Model Training
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TensorFlow
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PyTorch
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Scikit-Learn
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Azure ML
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Model Deployment
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Docker
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Kubernetes
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Azure DevOps
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Jenkins
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Model Monitoring
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Prometheus
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Grafana
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ELK Stack
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Azure Monitor
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Security & Compliance
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Nmap
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ZAP
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SonarQube
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Mend
Comprehensive MLOps Services by OrangeMantra
Explore our top-notch MLOps services designed to meet your business needs.
Model Development and Deployment
Building, training, and deploying ML models and their flawless integration with existing systems.
Automated Model Monitoring
Using advanced tools for continuous monitoring of model performance, making real-time adjustments and improvements.
Data Management and Preprocessing
Data collection, cleaning, and preprocessing to ensure high-quality data availability for training your ML models.
Experiment Tracking and Version Control
Tracking experiments, code changes, and model versions to achieve reproducibility and collaboration among teams.
Scalability Solutions
Infrastructure support to scale models with increasing data volumes and user demands, often leveraging cloud.
Integration with CI/CD Pipelines
Incorporation of ML workflows into Continuous Integration/Continuous Deployment pipelines to automate deployment.
Collaboration Tools
Using advanced platforms to facilitate collaboration between data scientists, engineers, and business stakeholders.
Ethical AI and Compliance
Guidance on implementing ethical AI practices and ensuring compliance with relevant regulations and standards.
Training and Support
Training your teams to effectively use MLOps tools and ongoing support to address any operational challenges.
Custom Solutions
Tailored MLOps solutions that meet specific business needs, including unique workflows and integration requirements.