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)
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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
MLOps is often foundational. Examples should reflect its application within broader projects
Conversational AI Agent Platform with Voice Cloning and RAG
We developed a robust AI agent platform capable of engaging users in natural, multilingual conversations. Leveraging cutting-edge NLP, speech synthesis, and RAG technology, our solution delivers human-like interactions with memory retention, emotional nuance, and scalable customization.
- Integrated GPT, BERT, and custom-tuned models for intelligent dialogue
- Enabled voice cloning, multilingual support, and real-time emotion handling
- Implemented RAG-backed memory for context-aware and personalized responses
AI-Powered Presentation Generator for Enterprise-Grade Slide Design
We created an AI agent that transforms user inputs into fully formatted, branded PowerPoint presentations. With support for real-time editing, smart layout selection, and audience-aware content, the system streamlines creation while enforcing brand compliance.
- Built with OpenAI/Anthropic LLMs, LangChain, and Chroma for smart content orchestration
- Delivered a scalable AWS serverless architecture with a Next.js frontend
- Reduced slide creation time by 80% while maintaining visual and messaging quality
RAG-Powered Website Chatbot for Instant Information Access
We developed a context-aware AI chatbot that acts as a smart assistant for website visitors. By leveraging Retrieval-Augmented Generation (RAG), it delivers precise and conversational answers sourced directly from the site’s content, improving user engagement and reducing support queries.
- Implemented web scraping and vector-based search (FAISS/Pinecone) for contextual understanding
- Used LangChain and GPT models to enable fluid, intelligent dialogue
- Delivered a seamless assistant that accurately guides users through site content in real time
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.
Pragetx Softwares PVT LTD successfully completed the project.They had an excellent workflow, which helped them deliver the project on time.Overall, the client was impressed with their team's solidarity.
The task I gave them was done precisely with all of my requirements and they did a fantastic job. They also kept me updated on every step of my work process. The team and the head of the team was very humble and friendly and they helped me in better understanding the scope of the modules than what I anticipated. I would personally recommend them further to the people who are looking for similar kind of services.
I worked with multiple people at PragetX and found them to be professional and flexible on requirements.I would definitely recommend them for startups who are looking at getting things done quickly in a cost effective manner.
The team is very cooperative and delivers good quality work on time.They are receptive to feedback.Overall it was a very good experience working with them.Would surely reccommend them to other organisations.
Impressed the client by how they proactively asked for design inputs and other questions on how to move ahead, enabling them to deliver quality outputs.They also facilitated an excellent workflow between both teams. Overall, the client had a good experience.
Team PragetX is helping us with creatives for our gourmet ice- cream business in Hyderabad.PragetX team has assigned dedicated resources to work on our project and we can directly interact with their team members for faster and accurate delivery of creatives.Among all the social media marketing services companies we found that PragetX is very competitive and pocket friendly.Hawte Madhapur team will highly recommend PragetX who is out looking for Social Media services.
Team was professional and understood the requirements well. They were responsive and deliver the app as I desired. Surely recommended to you.
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