MLOps ServicesSeamless Transition fromModel to Production
PragetX provides end-to-end MLOps services designed to streamline and automate the machine learning lifecycle.
Our MLOps Sub-Services
We offer a comprehensive suite of MLOps services to manage the entire ML lifecycle
MLOps Strategy Design
Evaluate your current processes, identify bottlenecks, and design a tailored MLOps roadmap that ensures end-to-end lifecycle management, scalability, and model efficiency.
- Process Evaluation
- Bottleneck Analysis
- Roadmap Design
Pipeline Automation
Build automated CI/CD/CT pipelines for rapid and reliable model updates and retraining, aligning with scalable solutions that maintain model performance throughout its lifecycle.
- Automated CI/CD
- Rapid Retraining
- Reliable Updates
Model Deployment
Implement scalable strategies for model serving through APIs, batch processing, or streaming, ensuring smooth integration into existing systems and operational efficiency.
- Scalable Serving
- API Integration
- Batch Streaming
Performance Monitoring
Establish robust monitoring for model performance, detect data drift, and maintain operational health with continuous, automated checks and alerts to ensure ongoing reliability.
- Continuous Monitoring
- Drift Detection
- Health Checks
Our MLOps Implementation Process
We follow a structured methodology to implement effective MLOps practices, ensuring robust and scalable machine learning operations from strategy to ongoing management.
Assessment & Strategic Planning
We analyze your existing ML workflows and define clear MLOps goals, KPIs, and the optimal toolset for your success.
Analyze existing ML workflows, infrastructure, and team skills.
Define clear MLOps goals and key performance indicators (KPIs).
Select appropriate tools and technologies for your specific needs.
Develop a comprehensive MLOps adoption roadmap and strategy.
MLOps Architecture Design
We design a tailored MLOps architecture, encompassing infrastructure, pipelines, toolchain integration, and robust governance frameworks.
Design the target MLOps architecture including all infrastructure components.
Outline detailed pipeline stages for CI, CD, and CT.
Plan seamless toolchain integration for an efficient workflow.
Establish a comprehensive monitoring strategy and governance framework.
Infrastructure Setup & Automation
We set up and configure the necessary cloud or on-premise infrastructure using IaC principles for repeatability, scalability, and efficiency.
Set up required cloud or on-premise infrastructure components.
Configure compute, storage, and networking resources effectively.
Implement Infrastructure as Code (IaC) for automated repeatability.
Ensure the infrastructure is optimized for demanding ML workloads.
Automated Pipeline Development
We develop and automate core pipelines for data validation, feature engineering, model training, evaluation, versioning, testing, and deployment.
Develop CI pipelines for automated code testing and validation.
Implement CD pipelines for reliable, automated model deployment.
Establish CT pipelines for continuous model retraining and improvement.
Automate data validation, feature engineering, and model evaluation stages.
Model Monitoring & Governance
We establish real-time model monitoring for accuracy, drift, bias, and performance, with alerting, auditability, and compliance checks.
Implement real-time monitoring of model performance, drift, and bias.
Configure alerting and logging systems for proactive issue detection.
Ensure model governance, auditability, and explainability standards.
Track data/model lineage and enable rollback when needed.
CI/CD/CT Implementation
We implement robust CI/CD/CT pipelines to streamline ML delivery, ensure rapid iteration, and automate retraining when necessary.
Establish automated testing for data and model pipelines.
Integrate CI/CD pipelines with version control and environments.
Implement CT pipelines to enable continuous learning with new data.
Ensure secure, scalable delivery across multiple environments (dev/staging/prod).
Security, Compliance & Access Controls
We enforce security and compliance through encryption, identity access management, audit logging, and data privacy standards.
Apply fine-grained role-based access controls (RBAC).
Ensure encryption for data in transit and at rest.
Implement audit logging and anomaly detection systems.
Comply with regulatory frameworks (HIPAA, GDPR, etc.).
Team Enablement & Documentation
We provide hands-on training, detailed documentation, and collaborative guidance to empower your team for long-term success.
Deliver team training on MLOps tools, pipelines, and best practices.
Create detailed documentation for all implemented systems.
Foster cross-functional collaboration between teams (ML, DevOps, Data).
Promote internal knowledge sharing and long-term maintainability.
Scaling & Optimization
We scale your MLOps capabilities for high-velocity experimentation and large-scale deployment, optimizing cost, latency, and performance.
Optimize pipelines for faster model iteration and reduced latency.
Implement model parallelism and resource auto-scaling.
Tune resource usage for cost-efficiency across environments.
Support scalable deployment across geographies or business units.
Ongoing Support & Evolution
We offer long-term support, continuously evolving your MLOps practices with the latest tools, trends, and innovations.
Provide continuous support and system health checks.
Incorporate emerging MLOps tools and technologies.
Periodically reassess pipelines for performance improvement.
Adapt infrastructure and practices as your needs evolve.
Tools and Technologies We Use
We leverage a wide array of industry-standard and cutting-edge MLOps tools
Containerization & Orchestration
CI/CD
Data Experiment Tracking & Versioning
Model Serving
Workflow Orchestration
Monitoring & Logging
Feature Stores
Infrastructure as Code (IaC)
.png&w=256&q=75)
Programming Languages & Libraries
Cloud Platforms
Why Choose PragetX for MLOps?
Accelerated ML Deployment
Move models from research to production faster and more reliably.
Improved Model Reliability
Ensure consistent model performance and stability through automation and monitoring.
Scalable Operations
Build systems that handle increasing model complexity, data volume, and user traffic.
Enhanced Collaboration
Foster seamless collaboration between data science, ML engineering, and operations teams.
Full Lifecycle Reproducibility
Guarantee traceable and reproducible results for experiments, models, and deployments.
Proactive Monitoring & Maintenance
Detect and address model degradation or operational issues before they impact users.
Robust Governance & Compliance
Implement practices for responsible AI development and deployment.
End-to-End Expertise
We cover the entire ML lifecycle, from data ingestion and model training to production deployment and monitoring.
Our MLOps Projects & Implementations
AI Agents
Conversational AI Agents for Natural Voice Interactions & Automated Task Execution
A case study on AI Agents, a powerful platform for building advanced conversational agents capable of human-like voice interactions. These agents utilize technologies like NLP, RAG, multilingual support, and voice cloning to automate complex tasks, enabling natural, real-time conversations across multiple languages and domains.
AI PowerPoint Generation Agent
AI-Powered Presentation Generator for Enterprise-Grade Slide Design & Brand Compliance
A case study on an AI-powered presentation generation platform that converts simple user inputs into audience-aware, brand-compliant PowerPoint presentations. This system leverages advanced language models, intelligent layout selection, and dynamic content generation to reduce slide creation time by up to 80% while ensuring consistent visual and messaging quality across enterprises.
Website Assistant
RAG-Powered Website Chatbot for Instant Information Access & Enhanced User Experience
A case study on a RAG-powered website chatbot that serves as an intelligent assistant to help users navigate complex web content. By combining LLMs with vector-based retrieval, it delivers fast, context-aware answers pulled directly from the site’s content, improving engagement and reducing support load.
Industries We Serve with MLOps
Robust MLOps practices are critical for any industry seriously adopting AI/ML
Technology & SaaS
Finance & Insurance
Healthcare & Life Sciences
Retail & E-commerce
Wall of Trust!!!
Our work speaks for itself. Take a look why our clients love team PragetX. They are not just our customers, but they are part of one large extended family.
PragetX has provided expertise and professional project management on high level.Design, Build, Implementation, UAT done as requested.Issue Fixing after UAT was done very fast.The team delivered exceeding quality, on time with perfect communication skills.We are planning further projects with the company.
Highly recommend. I think their strong point is communication. They do follow you in your project and that is priceless. We hired this agency for a redesign of a corporate site in europe. They work on budget and deliver on time. Thanks
We came across Pragtex through one of our Devloper first to fix some IOS related Bugs but over a period of time based on our interaction with the team we found them very skilled, proactive, professional, agile, and open to discussing issues to find the right solutions economically.
Team was professional and understood the requirements well. They were responsive and deliver the app as I desired. Surely recommended to you.
Pragetx Softwares has successfully launched the app and made it available for users to download. The team works hard to achieve milestones and promptly addresses any queries, concerns, or requests. Moreover, they're very receptive to feedback, personable, and flexible in making changes.
Pragetx Softwares's output received excellent reviews during the test phase. They conducted online meetings to ensure a smooth project. Their commitment to achieving the best results was impressive.
Not only did Pragetx Softwares execute their tasks well and on time, but they also provided reliable consulting support and were always available to help. The team exhibited a high level of attention to detail and a genuine dedication to delivering accurate, high-quality work.
Pragetx Softwares helped the client automate their sales process and streamline their team and order management. The team delivered the items on time without compromising the quality. Their attentiveness, value for money, and prompt responsiveness were key elements of their work.
Related Blogs
