MLOps Services

MLOps optimizes the machine learning lifecycle, ensuring seamless deployment from development to AI product release. For your business, this translates to process improvement, accelerated time-to-market, and enhanced model performance. Gain faster insights, shorten timeframes for software releases, and improve flexibility to stay ahead in a rapidly evolving market. 

Strategic Advantages of MLOps for Your Business

Navigating the complexities of the business landscape requires more than just innovation – it demands strategic adaptability. MLOps, with its focus on efficiency and agility, offers your business a transformative edge. From streamlining operations to optimizing investments and enabling seamless market expansion, MLOps empowers your business to navigate challenges and seize opportunities with confidence. 

Fast Market Entry in a Week

Accelerate your transition from development to market launch with MLOps, ensuring your AI product reaches customers swiftly. This efficiency allows you to capitalize on emerging market trends and respond promptly to evolving customer demands. 

Smart Investments

Maximize the benefits of your investments with MLOps by simplifying processes and optimizing resource usage on occasional tasks. This approach ensures a careful allocation of resources, maximizing returns on your business initiatives and technological investments. 

Smooth Market Expansion

Seamlessly explore new markets using the agility and scalability offered by MLOps. Adapt to diverse environments effortlessly, unlocking new business prospects and opportunities for growth with a flexible operational framework. 

Competitive Edge

Keep ahead in the competitive landscape by using MLOps for quicker insights and enhanced model performance. Making informed decisions becomes effortless, enabling your business to tackle challenges and seize opportunities in real-time. 

Efficient Cost Management

Drive cost efficiency through task automation and streamlined operations with MLOps. By minimizing manual interventions and optimizing workflows, your business achieves optimal performance without accumulating unnecessary expenses. 

Scalable Operations

Scale your development operations efficiently with SageMaker and EC2, empowering your infrastructure to handle increased workloads seamlessly. This scalability ensures that your operations remain robust and adaptable, supporting sustained business growth effectively. 

Streamlining Efficiency Across Industries with MLOps

Improving efficiency significantly, MLOps is changing how industries operate. From accelerating AI product launches to optimizing resource management, сompanies across diverse sectors are embracing MLOps to navigate the business landscape with agility and innovation. 

What is Machine Learning Operations and Why is it Essential

MLOps, short for Machine Learning Operations, is the practice of streamlining and automating the end-to-end machine learning lifecycle. It bridges the gap between data science and IT operations, ensuring a smooth transition from model development to deployment and ongoing management.

MLOps enhances collaboration, accelerates project timelines, and improves the reliability of machine learning systems. It’s like the efficient conductor orchestrating a symphony, harmonizing data, models, and operations for optimal business outcomes.

Machine Learning Operations in Details

Model Deployment and Serving

Model Deployment and Serving

MLOps ensures efficient deployment of ML models into production and seamless prediction serving to end-users or systems. It provides tools for consistent model deployment, handling aspects like Docker containerization, server management, and establishing model serving endpoints such as TensorFlow Serving, NVIDIA Triton, or AWS SageMaker Endpoints. 

Data Management

Data Management

MLOps guarantees data used for training and inference is accessible, secure, high-quality, and consistent. It implements data versioning (e.g., with DVC), cataloging, ensuring integrity and reproducibility, and sets up secure, scalable data storage solutions like Amazon S3, alongside efficient data pipelines. 

Diagnostics and Optimization

Diagnostics and Optimization

MLOps employs strategies like Quantization and Model Pruning to enhance model performance and cut infrastructure costs. Using detailed analytics, it identifies bottlenecks, diagnoses issues, and guides infrastructure optimization for overall efficiency. 



MLOps aims to scale ML systems efficiently to accommodate growing data loads and increased inference request throughput. By facilitating dynamic resource allocation and auto-scaling in cloud environments, it optimizes performance and cost efficiency, ensuring ML systems can handle workload demands without sacrificing performance. 

Automation and ML Workflow Orchestration

Automation and ML Workflow Orchestration

MLOps strives to streamline the ML lifecycle from data preparation to model deployment and updates. It accomplishes this by implementing CI/CD pipelines for ML, utilizing tools like Git, Jenkins, or AWS CodePipeline to automate training, testing, and deployment processes, reducing manual intervention, and accelerating the iteration cycle. 



MLOps continuously monitors deployed models to ensure consistent performance, utilizing tools like Prometheus, Grafana, or Amazon CloudWatch for real-time monitoring and alerts. This proactive approach enables swift responses to issues such as model drift or degradation, maintaining the reliability of machine learning solutions. 

MLOps Services we provide

We use up-to-date technologies to offer a complete range of services, including expert consulting and flexible MLOps solutions. Our commitment extends to providing adaptable MLOps services that suit your budget, offering both high-end and cost-effective options. With a pragmatic and business-friendly approach, we ensure your journey into MLOps is marked by innovation and financial flexibility. 

Amazon SageMaker

Amazon Bedrock

Amazon Inferentia

Amazon Lambda

Amazon EC2

Amazon CloudWatch


NVIDIA Triton Inference Server

Apache Airflow

TensorFlow Serving



DIET – Our Approach to Implementing Healthy AI Projects

Discover DIET (Discovery, Ideation, Experiment, Transformation) – our approach to AI consulting and development. We carefully navigate project feasibility, select tools strategically, conduct rigorous testing, and seamlessly integrate solutions within Machine Learning Operations life cycle. 

With MLOps principles, we extend this methodology to streamline machine learning operations for efficient deployment and continuous improvement of your AI solutions. Our consulting, tailored to your objectives, guides you through development and implementation, resulting in a finely tuned solution mirroring your company’s unique characteristics. 


Exploring your model or architecture 


Generating ideas on deploying the model and optimizing the architecture 


Testing the proposal and making necessary adjustments 


Implementing the solution 

How You Benefit from the DIET Approach in AI Project Development

Cost Projection Precision

Cost Projection Precision

Accurately predict project costs through the DIET approach. By thoroughly examining each phase, we provide precise cost projections, ensuring transparency and budget adherence throughout the ML consulting and development journey. 

Flexible MLOps Implementation Options

Flexible MLOps Implementation Options

Get a few MLOps implementation plans tailored to your unique requirements and budget constraints. The DIET approach empowers us to adapt our machine learning operations to any scale or complexity, providing versatile solutions that align with your specific needs and financial considerations. 

Alignment with Business Objectives

Alignment with Business Objectives

Navigate AI implementation with a strategic focus on business objectives. The DIET approach ensures a seamless alignment between your company’s goals and our AI consulting and development processes, resulting in a tailored solution that directly contributes to your business success. 

How You Can Collaborate With Us

We offer a variety of flexible ways to work together, allowing clients to choose the one that fits their needs best. Our approach to AI development can adapt to different preferences and the nature of each project. This means you can customize how we collaborate to suit your unique requirements. 

(1-2 ML Engineers)

CV consulting service, led by 1-2 expert ML Engineers, focuses on assessing the suitability of AI for clients’ unique business challenges. We provide personalized guidance, emphasizing a transparent project roadmap to empower clients with a clear understanding of AI’s applicability and potential impact on their operations. 

(Client-led Team)

In client-led engagement, clients build their team, including ML Engineers, Data Engineers, BAs, and others, as needed. There’s no dedicated Project Manager (PM); the client leads and manages the team’s efforts. 

(Full Cross-functional Team)

In the project format, a comprehensive team includes ML Engineers, Data Engineers, BAs, QA experts, and MLOps specialists. A dedicated Project Manager (PM) leads the team of AI consulting company, ensuring efficient execution, meeting timelines, and maintaining quality control during AI Software Development. 

Success Stories

“Exposit you can trust not just to build complex, original work, but also support the developed product and ensure it thrives after release”.

  • Explore the Success Story of Wizart

    Explore the Success Story of Wizart

    Learn more how a Computer Vision-driven solution solved the imagination gap challenge and helped retailers boost sales, by making customers satisfied with their choice.

  • Explore the Success Story of Audio to Text Converter

    Explore the Success Story of Audio to Text Converter

    Learn more about how Machine Learning helped to relieve the burden of remembering all the information people interact with during the day, increases the efficiency of work conversations, and consequently improves the business process.

  • Explore the Success Story of Football Analytics

    Explore the Success Story of Football Analytics

    Learn more how a Computer Vision-driven analytics helped create individual football training programs and increase the involvement of students’ parents using the exact statistics and measurements.

Why Choose Exposit MLOps Services

Simple and Effective Strategy

We use a straightforward plan that ensures quality and speed. This roadmap sets expectations, outlines the process, and helps clients understand the workflow and necessary investments. 

Proven AI Expertise

With experience in the industry and our proprietary AI product, Wizart, we quickly turn your ideas into software. Our capabilities make bringing your vision to life efficient and effective. 

MLOps Consultation

We offer consultations on MLOps to help clients understand how AI can benefit their business. Our guidance ensures well-informed decisions about integrating AI into your operations. 




In-house employees


Completed projects for SMBs and Enterprises


Own CV-based product released

Our clients and what they say about Exposit

Their project management style is very hands-on with lots of back and forth communication every day.

James Pursaill

CTO, Plend

Exposit has been our development partner for more than 3 years. They are doing a great job developing our digital platforms that are helping millions of refugees all over the world.

Alexander Bugge


They’re very excited about the growth and success of our company. It’s not just a job to them. They feel like a part of the team. Special thanks for the transparency and diligent work of the engineers. Deliveries were very solid and timely.

Hans Oberholzer


View more proven positive testimonials from clients across different industries, with various projects’ complexity and expertise.

Starting Your Project with Exposit

Get in Touch

Reach out to Exposit to explore our Artificial Intelligence services. Share your project details and goals with our team. 

Schedule a Consultation

We’ll discuss how our AI consulting and development services can benefit your company and address any questions you may have. 

Get a Project Estimate

Following the discussion, we’ll provide you with a detailed estimate for your AI software project, customized to your needs. 

Kick Off Your Project

Once you’re satisfied with the estimate and plan, we’ll kick off your AI software project. Throughout each stage, we’ll keep you informed and involved to ensure a successful outcome.