AI IconMLOps Services

Seamless Transition from
Model to Production

PragetX provides end-to-end MLOps services designed to streamline and automate the machine learning lifecycle.

AI Icon

Our MLOps Sub-Services

We offer a comprehensive suite of MLOps services to manage the entire ML lifecycle

MLOps Strategy Design
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
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
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
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
AI Icon

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.

1
Assessment & Strategic Planning
Assessment & Strategic Planning

We analyze your existing ML workflows and define clear MLOps goals, KPIs, and the optimal toolset for your success.

Bullet Point

Analyze existing ML workflows, infrastructure, and team skills.

Bullet Point

Define clear MLOps goals and key performance indicators (KPIs).

Bullet Point

Select appropriate tools and technologies for your specific needs.

Bullet Point

Develop a comprehensive MLOps adoption roadmap and strategy.

2
MLOps Architecture Design
MLOps Architecture Design

We design a tailored MLOps architecture, encompassing infrastructure, pipelines, toolchain integration, and robust governance frameworks.

Bullet Point

Design the target MLOps architecture including all infrastructure components.

Bullet Point

Outline detailed pipeline stages for CI, CD, and CT.

Bullet Point

Plan seamless toolchain integration for an efficient workflow.

Bullet Point

Establish a comprehensive monitoring strategy and governance framework.

3
Infrastructure Setup & Automation
Infrastructure Setup & Automation

We set up and configure the necessary cloud or on-premise infrastructure using IaC principles for repeatability, scalability, and efficiency.

Bullet Point

Set up required cloud or on-premise infrastructure components.

Bullet Point

Configure compute, storage, and networking resources effectively.

Bullet Point

Implement Infrastructure as Code (IaC) for automated repeatability.

Bullet Point

Ensure the infrastructure is optimized for demanding ML workloads.

4
Automated Pipeline Development
Automated Pipeline Development

We develop and automate core pipelines for data validation, feature engineering, model training, evaluation, versioning, testing, and deployment.

Bullet Point

Develop CI pipelines for automated code testing and validation.

Bullet Point

Implement CD pipelines for reliable, automated model deployment.

Bullet Point

Establish CT pipelines for continuous model retraining and improvement.

Bullet Point

Automate data validation, feature engineering, and model evaluation stages.

5
Model Monitoring & Governance
Model Monitoring & Governance

We establish real-time model monitoring for accuracy, drift, bias, and performance, with alerting, auditability, and compliance checks.

Bullet Point

Implement real-time monitoring of model performance, drift, and bias.

Bullet Point

Configure alerting and logging systems for proactive issue detection.

Bullet Point

Ensure model governance, auditability, and explainability standards.

Bullet Point

Track data/model lineage and enable rollback when needed.

6
CI/CD/CT Implementation
CI/CD/CT Implementation

We implement robust CI/CD/CT pipelines to streamline ML delivery, ensure rapid iteration, and automate retraining when necessary.

Bullet Point

Establish automated testing for data and model pipelines.

Bullet Point

Integrate CI/CD pipelines with version control and environments.

Bullet Point

Implement CT pipelines to enable continuous learning with new data.

Bullet Point

Ensure secure, scalable delivery across multiple environments (dev/staging/prod).

7
Security, Compliance & Access Controls
Security, Compliance & Access Controls

We enforce security and compliance through encryption, identity access management, audit logging, and data privacy standards.

Bullet Point

Apply fine-grained role-based access controls (RBAC).

Bullet Point

Ensure encryption for data in transit and at rest.

Bullet Point

Implement audit logging and anomaly detection systems.

Bullet Point

Comply with regulatory frameworks (HIPAA, GDPR, etc.).

8
Team Enablement & Documentation
Team Enablement & Documentation

We provide hands-on training, detailed documentation, and collaborative guidance to empower your team for long-term success.

Bullet Point

Deliver team training on MLOps tools, pipelines, and best practices.

Bullet Point

Create detailed documentation for all implemented systems.

Bullet Point

Foster cross-functional collaboration between teams (ML, DevOps, Data).

Bullet Point

Promote internal knowledge sharing and long-term maintainability.

9
Scaling & Optimization
Scaling & Optimization

We scale your MLOps capabilities for high-velocity experimentation and large-scale deployment, optimizing cost, latency, and performance.

Bullet Point

Optimize pipelines for faster model iteration and reduced latency.

Bullet Point

Implement model parallelism and resource auto-scaling.

Bullet Point

Tune resource usage for cost-efficiency across environments.

Bullet Point

Support scalable deployment across geographies or business units.

10
Ongoing Support & Evolution
Ongoing Support & Evolution

We offer long-term support, continuously evolving your MLOps practices with the latest tools, trends, and innovations.

Bullet Point

Provide continuous support and system health checks.

Bullet Point

Incorporate emerging MLOps tools and technologies.

Bullet Point

Periodically reassess pipelines for performance improvement.

Bullet Point

Adapt infrastructure and practices as your needs evolve.

AI Icon

Tools and Technologies We Use

We leverage a wide array of industry-standard and cutting-edge MLOps tools

Containerization & Orchestration
Docker
Docker
Kubernetes
Kubernetes
Kubeflow
Kubeflow
KServe
KServe
CI/CD
GitHub Actions
GitHub Actions
GitLab CI/CD
GitLab CI/CD
Jenkins
Jenkins
Argo CD
Argo CD
Tekton
Tekton
Data Experiment Tracking & Versioning
MLflow
MLflow
Weights & Biases (W&B)
Weights & Biases (W&B)
DVC (Data Version Control)
DVC (Data Version Control)
Git
Git
Model Serving
Seldon Core
Seldon Core
BentoML
BentoML
NVIDIA Triton Inference Server
NVIDIA Triton Inference Server
TensorFlow Serving
TensorFlow Serving
TorchServe
TorchServe
FastAPI
FastAPI
Flask
Flask
Workflow Orchestration
Apache Airflow
Apache Airflow
Kubeflow Pipelines
Kubeflow Pipelines
Argo Workflows
Argo Workflows
Prefect
Prefect
Monitoring & Logging
Prometheus
Prometheus
Grafana
Grafana
Elasticsearch
Elasticsearch
Logstash
Logstash
Kibana
Kibana
Evidently AI
Evidently AI
WhyLabs
WhyLabs
Arize AI
Arize AI
Feature Stores
Feast
Feast
Tecton
Tecton
Infrastructure as Code (IaC)
Terraform
Terraform
Pulumi
Pulumi
AWS CloudFormation
AWS CloudFormation
Azure Resource Manager (ARM)
Azure Resource Manager (ARM)
Programming Languages & Libraries
Python
Python
Tensorflow
Tensorflow
Pytorch
Pytorch
Scikit learn
Scikit learn
Pandas
Pandas
Cloud Platforms
AWS
AWS
Sagemaker
Sagemaker
S3
S3
EC2
EC2
EKS
EKS
Lambda
Lambda
Google Cloud Platform
Google Cloud Platform
VertexAI
VertexAI
GKE
GKE
Microsoft Azure
Microsoft Azure
Blob Storage
Blob Storage
AKS
AKS

Need a Hand in Custom Software Development

We have a track record in helping brands like yours to scale faster

Why Choose PragetX for MLOps?

1
Accelerated ML Deployment
Accelerated ML Deployment

Move models from research to production faster and more reliably.

shape
2
Improved Model Reliability
Improved Model Reliability

Ensure consistent model performance and stability through automation and monitoring.

shape
3
Scalable Operations
Scalable Operations

Build systems that handle increasing model complexity, data volume, and user traffic.

shape
4
Enhanced Collaboration
Enhanced Collaboration

Foster seamless collaboration between data science, ML engineering, and operations teams.

shape
5
Full Lifecycle Reproducibility
Full Lifecycle Reproducibility

Guarantee traceable and reproducible results for experiments, models, and deployments.

shape
6
Proactive Monitoring & Maintenance
Proactive Monitoring & Maintenance

Detect and address model degradation or operational issues before they impact users.

shape
7
Robust Governance & Compliance
Robust Governance & Compliance

Implement practices for responsible AI development and deployment.

shape
8
End-to-End Expertise
End-to-End Expertise

We cover the entire ML lifecycle, from data ingestion and model training to production deployment and monitoring.

shape
AI Icon

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
Artificial IntelligenceConversational InterfacesAutomation

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
View Full Case Study
AI-Powered Presentation Generator for Enterprise-Grade Slide Design
AI ProductivityPresentation AutomationEnterprise Tools

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
View Full Case Study
RAG-Powered Website Chatbot for Instant Information Access
AI AssistantsCustomer SupportInformation Retrieval

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
View Full Case Study
AI Icon

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.

comma
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.
Michael Kohlert
Michael KohlertMichael Kohlert
Founder & CEO - The Integrated
comma
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
Carlos Rosales
Carlos RosalesCarlos Rosales
Co-Founder - Zdc Studio
comma
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.
Neeraj Gala
Neeraj GalaNeeraj Gala
Co-Founder & CEO - UrNest AirBnB of Cloud Kitchen
comma
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.
Rohit Kumar
Rohit KumarRohit Kumar
Founder & CEO - VR Cube Technologies Pvt Ltd
comma
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.
Kunal Choudhary
Kunal ChoudharyKunal Choudhary
Managing Director - PetFind
comma
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.
Viraj Damani
Viraj DamaniViraj Damani
Founder & CEO - Tru Performance Inc
comma
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.
Jyotirmayi Baral
Jyotirmayi BaralJyotirmayi Baral
Managing Executive - Kreeti Technologis PVT LTD
comma
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.
Ujjal Hafila
Ujjal HafilaUjjal Hafila
UI/UX Designer - Wooqer
comma
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.
Jyotsna Bajaj
Jyotsna BajajJyotsna Bajaj
Founder & CEO - Healthy Hearth Enterprises
comma
Team was professional and understood the requirements well. They were responsive and deliver the app as I desired. Surely recommended to you.
Alex Nee
Alex NeeAlex Nee
Founder & CEO - Sun Teame Pte Ltd