What is MLOps?
How much does MLOps implementation cost?
Why is MLOps important?
How long does MLOps implementation take?
Do you support LLM and GenAI deployment?
From Prototype to Production with Expert MLOps Services
Request MLOps Consultation
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Models Deployed
We have helped teams across North America, Europe, and Australia take ML models from notebooks to live production environments.
Production Systems Built
Experience building reliable ML infrastructure supporting real-time predictions.
Model Monitoring Systems
Monitoring frameworks implemented to track model accuracy and performance.
Global Client Base
MLOps solutions delivered across North America, Europe, and the Middle East.
Why Novumlogic?
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"Their MLOps infrastructure allowed our data science team to deploy models faster and monitor performance reliably."
— Head of Data Science, SaaS Company
10 Years
Building production software and AI systems since 2015
4 to 8 Weeks
Typical time from MLOps scoping to a live production deployment
120+ Clients Served
Since 2015, NovumLogic has delivered software and AI solutions to over 120 clients across the USA, UK, Australia, New Zealand, and France.
End-to-End Delivery
From deployment architecture to monitoring and retraining, we handle the full MLOps lifecycle so your team can focus on building better models.
Client Pain-Points & Outcomes
What Organizations Experience
Machine learning models developed but never deployed
Manual deployment processes slowing ML adoption
Difficulty monitoring model performance in production
Model accuracy degrading over time without retraining
What MLOps Delivers
Our automated deployment pipelines for ML models
Our continuous monitoring of model performance
Effective scalable infrastructure for ML systems
Automated retraining and model updates
Core Services We Offer
ML Model Deployment
Deploy machine learning models into production environments.
What you get:
Model APIs and inference systems
Containerized model deployment
Scalable model serving
ML CI/CD Pipelines
Automate machine learning development and deployment workflows.
What you get:
ML CI/CD pipelines
Automated model testing
Deployment automation
Model Monitoring & Observability
Track model performance and accuracy in real time.
What you get:
Model performance monitoring
Data drift detection
Alert systems for model degradation
Model Retraining Systems
Keep machine learning models accurate over time.
What you get:
Automated retraining pipelines
Model version management
Performance optimization workflows
ML Model Deployment
ML Model Deployment
Deploy machine learning models into production environments.
What you get:
Model APIs and inference systems
Containerized model deployment
Scalable model serving
ML CI/CD Pipelines
ML CI/CD Pipelines
Automate machine learning development and deployment workflows.
What you get:
ML CI/CD pipelines
Automated model testing
Deployment automation
Model Monitoring & Observability
Model Monitoring & Observability
Track model performance and accuracy in real time.
What you get:
Model performance monitoring
Data drift detection
Alert systems for model degradation
Model Retraining Systems
Model Retraining Systems
Keep machine learning models accurate over time.
What you get:
Automated retraining pipelines
Model version management
Performance optimization workflows
Not Sure Which ML Model to Use?
No worries, this guide breaks it down clearly so you can pick the right model every time.
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*Only the useful stuff, we hate spam too.
How We Work
We follow a streamlined, five‑step process to transform your ML vision into a live service, fast, transparent, and focused on ROI.
1
ML Infrastructure Assessment
We evaluate existing ML workflows and deployment challenges.
2
Deployment Architecture Design
Our Design infrastructure for model serving, pipelines, and monitoring.
3
Pipeline Development
We build CI/CD pipelines for model training and deployment.
4
Monitoring Implementation
Effective Implemented systems to monitor model accuracy and performance.
5
Optimization & Scaling
We optimize infrastructure to support large-scale ML workloads.
Industry-Specific Solutions
Our machine learning development services are tailored to the unique demands of each sector
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Healthcare & Medical Technology
Clinical prediction models
Diagnostic support systems
Healthcare analytics models
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Logistics & Supply Chain
Operational prediction systems
Demand forecasting models
Route optimization algorithms
Manufacturing
Predictive maintenance models
Equipment monitoring systems
Production analytics models
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SaaS Platforms
Deploying recommendation engines
Real-time prediction systems
Product analytics models
Case Studies
Our case studies demonstrate how we've collaborated with customers to address issues and develop advanced solutions.
Edubill
EduBill is a SaaS-based comprehensive billing web application designed to streamline financial transactions and management for educational institutions and agencies.
Results
70% Faster Invoicing & Commission Management
90% Fewer Financial Data Errors
High User Satisfaction
UI & Automation
Reaction Group
Learn how a company specializing in Electrical, Fire, and Hazardous Area Services transformed its data collection and management with a Flutter app powered by Supabase, moving from manual processes to a seamless digital workflow.
Results
Data Integrity
Faster Reporting
Enhanced Customer Service
Boosted Reputation
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Kasper Dental App
Kasper is a smart, integrated platform that helps you seamlessly run your dental practice, communicate with patients, and manage appointments.
Results
Improved Patient Communication
Streamlined Operations
Enhanced Security
Paperless Transition
Integration of Emerging Technologies
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Automated ML pipelines
Model monitoring tools
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AI-driven observability platforms
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Distributed model serving infrastructure
Technology Stack & Compliance
Secure, scalable, and fast our trusted ML stack
Python
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AWS / Azure / GCP
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Airflow
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Kubernetes
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Docker
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Kubeflow
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MLflow
GDPR-Ready
SOC 2 Type II Certified
CCPA-Compliant
Secure API architecture
Technology Stack
Python
Kubernetes
Docker
Kubeflow
MLflow
AWS / Azure / GCP
Airflow
Compliance & Security
GDPR-Ready
SOC 2 Type II Certified
CCPA-Compliant
Secure API architecture
FAQs
Ready to Transform Your Data into Predictive Intelligence?
Let's build machine learning solutions that deliver measurable business value, faster than you thought possible.
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