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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.
End-to-End MLOps Services
MLOps Consulting Services
MLOps Maturity Assessment
ML Pipeline Development
MLOps Model Deployment
Model Monitoring & Observability
Data Engineering and Management
CI/CD for Machine Learning
Model Governance & Compliance
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.
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
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)
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
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
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
Our Experts
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"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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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 ConsultationSuccess Stories Delivered by Us
MaxContact
TECHNOLOGY | ARTIFICIAL INTELLIGENCE | DIGITAL PRODUCT ENGINEERING
RX Transcription Tool for Eyeglass Dispensing
HEALTHCARE | ARTIFICIAL INTELLIGENCE | DIGITAL PRODUCT ENGINEERING | MOBILE APPS
Virtual Try-On Solution
HEALTHCARE | DIGITAL PRODUCT ENGINEERING | ARTIFICIAL INTELLIGENCE | MOBILE APPS
MaxContact
TECHNOLOGY | ARTIFICIAL INTELLIGENCE | DIGITAL PRODUCT ENGINEERING
RX Transcription Tool for Eyeglass Dispensing
HEALTHCARE | ARTIFICIAL INTELLIGENCE | DIGITAL PRODUCT ENGINEERING | MOBILE APPS
Virtual Try-On Solution
HEALTHCARE | DIGITAL PRODUCT ENGINEERING | ARTIFICIAL INTELLIGENCE | MOBILE APPS
Your Trusted MLOps Consulting Partner
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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"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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"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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"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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Flexible Engagement Models
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.
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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.
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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.
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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.
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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.
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 ProjectFrequently Asked Questions
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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.
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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.
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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.
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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.
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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.
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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.