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MLOps Services

Coherent Solutions delivers end-to-end MLOps services to help businesses streamline AI operations, scale model deployment, and ensure seamless integration with their existing systems.

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AI & Data Analytics Experts
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Years in Business
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Locations Globally
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Client Retention Rate

End-to-End MLOps Services

MLOps Consulting Services

Boost your ML capabilities with customized MLOps strategies. We design efficient frameworks, modernize models, and streamline deployment for seamless integration and ongoing performance.
MLOps Consulting Services on LinkedIn

MLOps Maturity Assessment

Assess your MLOps maturity by evaluating strengths, weaknesses, and improvement areas across the ML lifecycle. Focus on tools, infrastructure, and governance to refine your strategy.
MLOps Maturity Assessment on LinkedIn

ML Pipeline Development

We specialize in building automated ML pipelines that efficiently process data and code, ensuring accurate models and streamlined performance throughout the ML lifecycle.
ML Pipeline Development on LinkedIn

MLOps Model Deployment

With extensive experience deploying ML models on AWS, Azure, and GCP, we optimize performance, scalability, and availability, ensuring seamless and reliable integration.
MLOps Model Deployment on LinkedIn

Model Monitoring & Observability

We implement advanced observability tools to monitor ML models, data, and pipelines, ensuring consistent performance and maximizing ROI on your AI investments.
Model Monitoring & Observability on LinkedIn

Data Engineering and Management

We provide expert guidance on acquiring, cleaning, and processing data to ensure you get optimized datasets that enhance ML model performance and minimize errors.
Data Engineering and Management on LinkedIn

CI/CD for Machine Learning

Our CI/CD services accelerate MLOps model deployment by automating pipelines and streamlining development, reducing time-to-market and driving business growth.
CI/CD for Machine Learning on LinkedIn

Model Governance & Compliance

We enhance ML model security and integrity with robust governance strategies, ensuring data confidentiality, regulatory compliance, fairness, bias detection, and performance evaluation.
Model Governance & Compliance on LinkedIn

MLOps Solutions Tailored to Your Domain

We provide MLOps services across a wide range of industries, delivering customized solutions that meet the unique needs of each domain. From manufacturing and healthcare to retail, we create systems that optimize performance, scalability, and efficiency.

Manufacturing & Logistics

Demand Forecasting • Inventory Optimization • Quality Control • Predictive Maintenance • Supply Chain Management

Healthcare & Life Science

Clinical Decisioning • Drug Discovery • Personalized Medicine • Healthcare Operations Optimization • Fraud Detection • Regulatory Compliance

Education & eLearning

Personalized Learning • Student Success Prediction • Recommendation Systems • Administrative Efficiency • Educational Research

Product & Tech Companies

Predictive Analytics • Customer Support • Cybersecurity • Operational Efficiency

Retail & eCommerce

Personalized Marketing • Demand Forecasting • Dynamic Pricing • Supply Chain Optimization • Sentiment Analysis

Financial Services

Risk Management • Algorithmic Trading • Customer Insights • Compliance Automation • Fraud Detection

MLOps Technologies We Employ

 

We use advanced practices and technologies to accelerate the development, deployment, and management of machine learning models, ensuring consistency, scalability, and reliability in production. Key technologies include:


CI/CD: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions, ArgoCD
Containerization & Orchestration: Docker, Kubernetes, ECS, EKS, AKS

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We implement robust versioning practices to ensure reproducibility, traceability, and consistency across the machine learning lifecycle. These practices enhance collaboration, maintain data integrity, and improve the reliability and transparency of model deployments in production. Technologies we use:


Model Serving: MLflow, KubeFlow, TensorFlow Serving
Data Versioning: DVC (Data Version Control)

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Model training involves using algorithms and data to identify patterns, make predictions, and optimize decision-making. This critical phase in the ML lifecycle focuses on developing and fine-tuning models to achieve accuracy, performance, and reliability. Our tools and frameworks:


Frameworks: TensorFlow, PyTorch, Ray, MLFlow, KubeFlow
Libraries: Sklearn, XGBoost

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AutoML automates the end-to-end process of applying machine learning to real-world problems, including model selection, feature engineering, hyperparameter tuning, and deployment. It empowers users of all skill levels to build high-quality models with ease. AutoML platforms we use:


• Google Cloud AutoML
• Azure AutoML
• H2O
• AutoML
• DataRobot

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We make ML models production-ready, enabling them to generate predictions or classifications from new input data. This involves preparing trained models and their dependencies for seamless integration into existing applications and software systems. Model serving tools we use: 

• KubeFlow
• Seldon
• RayServe

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Our Experts

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Anton Cheplyukov

AI Practice Lead
Anton Cheplyukov on LinkedIn
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Andrey Tkachenya

AI Engineering Lead
Andrey Tkachenya on LinkedIn
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Vladislav Svetlakov

Machine Learning Engineer
Vladislav Svetlakov on LinkedIn
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Stanislav Bychkovsky

Machine Learning Engineer
Stanislav Bychkovsky on LinkedIn

"Implementing MLOps isn't just about deploying models; it's about transforming your organization's AI and data capabilities into a strategic advantage. Our machine learning operations experts at Coherent Solutions combine cutting-edge technology with industry best practices to streamline your machine learning lifecycle. We're dedicated to optimizing workflows, enhancing model performance, and ensuring scalability, all while aligning with your business goals. "

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Vladislav Svetlakov
Machine Learning Engineer, Coherent Solutions

Looking for MLOps Experts?

Streamline your ML operations with our end-to-end solutions, from model deployment to seamless integration. Discover MLOps benefits like faster time-to-market, reduced operational costs, and improved model reliability. Contact us today to learn more.

Request Free Consultation

Success Stories Delivered by Us

Your Trusted MLOps Consulting Partner

Expert Digital Engineering

With 30 years of experience, we provide comprehensive MLOps services that simplify model deployment, enhance operational efficiency, and ensure seamless integration.

Industry Experience

As an experienced MLOps provider, we’ve successfully delivered AI-driven solutions across diverse industries, including healthcare, finance, retail, and manufacturing.

Comprehensive Tech Stack

With a dedicated team of AI engineers, we leverage both well-known and cutting-edge technologies to deliver robust, scalable AI solutions tailored to your business needs.

Secure & Agile Development Process

From model training to deployment, we deliver a secure and agile MLOps process, ensuring scalable AI solutions with top performance, reliability, and robust data protection.

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Our Clients Say It Best

We focus on delivering results that matter. See what our clients have to say about working with us.

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"Over $2M annual reoccurring revenue from our SaaS platform in just the first year, with a steadily growing user base. After a few years of bootstrapping, we received investment from two entities, one of the largest distribution companies in the US and a highly respected private equity firm. The project management has been extremely impressive, from a deliverability standpoint and communication. The team is a well-oiled machine — extremely efficient."

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Matthew McDaniel
CMO & Product Owner, Roofing Software Company

"It isn’t about just meeting the functional requirements and specifications, but the wow factor is that the other things that Coherent has brought: at helping us look at potentially how we may do something with data lakes or relational to analytics, and that’s the bigger value proposition. We always feel that we are not going to just get what we have asked for; there will be other things that we know you come through on. And that is a great asset to us."

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Paul Rauker
Vice President at Daikin Applied, USA

"We've developed a measure of sport-specific intellectual ability—we call it the Athletic Intelligence Quotient, or AIQ. We hired Coherent Solutions to revamp our mobile app and our web-based scoring portal. The scoring portal was extremely slow, to the point that it was an issue for our clients and us… We saw them deliver on everything that we set out to accomplish, specifically with speeding up the load times on the scoring database. I was pleased with their initiative, their attitude, and their reaction times."

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James Bowman
Owner, Athletic Intelligence Measures LLC

"We've developed a measure of sport-specific intellectual ability—we call it the Athletic Intelligence Quotient, or AIQ. We hired Coherent Solutions to revamp our mobile app and our web-based scoring portal. The scoring portal was extremely slow, to the point that it was an issue for our clients and us… We saw them deliver on everything that we set out to accomplish, specifically with speeding up the load times on the scoring database. I was pleased with their initiative, their attitude, and their reaction times."

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James Bowman
Owner, Athletic Intelligence Measures LLC

Flexible Engagement Models

Consulting

Not sure where to begin with MLOps? Our consulting services help you craft a clear ML strategy, evaluate your current processes, and identify opportunities for optimization.

Professional Services

Whether optimizing model deployment or ensuring industry compliance, our professional services enhance efficiency, scalability, and reliability in your AI/ML operations.

Dedicated Team

Enhance your MLOps with a dedicated team of experts. Our specialists collaborate with your in-house team to implement robust MLOps practices, ensuring scalability and reliable performance.

Product Development

Turn your ideas into reality with our ML-focused product development. From concept to deployment, we design, build, and optimize machine learning products tailored to your business needs.

MLOps Implementation Process

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Exploring

  • We start by defining the scope, timeline, and resources needed for your project. This step involves assessing existing systems, workflows, and goals to lay the groundwork for a successful MLOps implementation.
Exploring on LinkedIn
data preparation

Data Preparation

  • We prepare your data by collecting, cleaning, and organizing it for model training. This includes feature engineering and implementing efficient, scalable storage solutions for seamless data access.
Data Preparation on LinkedIn
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Model Validation

  • Our team trains and rigorously evaluates machine learning models to meet defined performance benchmarks. We optimize model accuracy through testing to ensure reliability before deployment.
Model Validation on LinkedIn
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Deployment

  • We implement automated CI/CD pipelines, containerization, and scalable infrastructure to streamline deployment. Post-deployment, we monitor model performance to maintain reliability in production.
Deployment on LinkedIn
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Governance

  • Finally, we establish model governance frameworks, ensure regulatory compliance, and implement processes for continuous improvement, keeping your systems secure and transparent.
Governance on LinkedIn

AI Solution Accelerators

Need to validate ideas with AI quickly? We help you develop and deploy POCs or POVs for solutions like churn prediction, user behavior analytics, or image classification. Our tailored approach combines pre-built frameworks and custom development, ensuring fast, reliable results while aligning with your business needs.

Accelerate Your AI Project

Frequently Asked Questions

  • MLOps (Machine Learning Operations) is a set of practices that streamline the deployment, monitoring, and maintenance of ML models in production. It helps your business by ensuring models run reliably at scale, accelerating time-to-market, improving performance, and reducing costs, ultimately driving efficiency and consistent results.
  • MLOps boosts model performance by automating tasks like data preprocessing, training, and deployment. It also ensures continuous monitoring and retraining, keeping models accurate and aligned with evolving business needs, resulting in more reliable and adaptable AI solutions.
  • MLOps benefits businesses across industries like finance, healthcare, retail, and manufacturing. Any organization using data-driven decision-making or AI can leverage MLOps to improve the efficiency, scalability, and reliability of their machine learning operations.
  • We prioritize data security and compliance by using strong governance practices like encryption, access controls, and anonymization. We also adhere to industry standards such as GDPR and CCPA, ensuring all data handling is secure and compliant.

  • The timeline for MLOps implementation depends on your project’s complexity and existing infrastructure. Typically, a basic setup takes a few weeks to a few months, covering requirement analysis, data pipeline setup, model development, deployment, and establishing monitoring and governance frameworks.

  • Yes, we can seamlessly integrate MLOps with your existing IT infrastructure and tools. We assess your current systems—whether cloud, on-premises, or data storage—and ensure smooth compatibility with your workflows and CI/CD pipelines.

Get a Free Consultation with Our Experts!

Simply fill out our contact form below, and we will reach out to you within 1 business day to schedule a free 1-hour consultation covering platform selection, budgeting, and project timelines.