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MLOps Consulting Services

We leverage our specialized expertise in optimizing machine learning (ML) lifecycles to offer MLOps consulting services. Our team helps organizations streamline their ML development, deployment, and management processes, resulting in increased efficiency, improved model performance, and accelerated time-to-market for AI-driven solutions.
MLOps consulting services
WHAT WE OFFER

Our expertise in MLOps consulting

Experiment Tracking

Stay informed and organized throughout your machine learning experiments. Our MLOps services provide robust tracking mechanisms, enabling you to monitor progress, analyze results, and iterate effectively. With clear visibility into each experiment’s variables and outcomes, you can make informed decisions to enhance model performance and drive success.

Scalability Pipelines

Seamlessly scale your machine learning pipelines to accommodate growing data volumes and evolving requirements. Our MLOps expertise ensures that your pipelines are designed and implemented with scalability in mind, enabling them to expand effortlessly as your needs evolve. By optimizing resource allocation and workflow management, we empower you to maintain efficiency and performance even as demands increase.

Unleash Model Deployment and Rollout

Harness the power of cloud-native platforms like AWS, Microsoft Azure, and Google Cloud Platform (GCP) to deploy your ML models with confidence. We possesses extensive experience in model deployment and rollout, ensuring peak availability, scalability, and dependability. With streamlined processes and best practices, we enable you to unleash your models onto the cloud environment seamlessly, maximizing their impact and value.

Streamline Delivery for Machine Learning

Optimize your machine learning delivery process for efficiency and agility. Our team leverages continuous integration and continuous delivery (CI/CD) practices to streamline pipeline development, testing, and deployment. By automating pipeline components’ creation, examination, and deployment, we accelerate the development lifecycle, enabling faster market reach and business expansion. With our expertise, you can deliver machine learning solutions with speed and precision, gaining a competitive edge in today’s dynamic landscape.

Vigilant Model Monitoring

Keep a watchful eye on your machine learning models’ performance in real-time. We offer cutting-edge observability solutions, including distributed tracing, log analysis, and anomaly detection. These tools provide immediate insights into AI system performance, empowering you to detect and address issues proactively. By fine-tuning and optimizing your models based on actionable insights, you can achieve superior precision and productivity, maximizing the value of your machine learning investments.
PROCESS

MLOps process we follow

From a comprehensive review of your existing framework to deploying tailored MLOps practices, our process ensures seamless integration and execution at every step.

Synchronizing Machine Learning with Business Objectives

  • Getting a grip on the business targets and the larger dreams of the firm.
  • Sketching out the problem that machine learning can unravel.
  • Hunting down the right data sources and the data required to shape the machine learning model.
  • Formulating a blueprint for the lifecycle of the machine learning model – from birth to testing, deployment, and babysitting.

Nurturing Data and Governing its Growth

  • Designing a tool for unseen extraction or batch fetching from the cherry-picked data source.
  • Baking in an automatic data validation process to ensure the data remains pristine and sticks to the decided schema.
  • Applying a clever split method to remove separate training and validation data chunks from the validated data pool.
  • Laying the groundwork for a feature store that neatly houses and organizes pre-existing features.

Cultivating the Model

  • Handpicking a diverse range of storage-neutral version control systems that play well with machine learning workflows.
  • Harmoniously blending these version control systems into the platform and getting the settings right.
  • Ensuring that fresh metadata springing from new training runs are auto-saved into the correct version control system.
  • Establishing a metadata library to hoard relevant information for future deep dives.

Appraising the Model

  • Framing up a mechanism for model scrutiny and validation using the toolkit of choice.
  • Switching on the auto-capture for all critical performance data each time the model struts its stuff.
  • Safeguarding all essential details in a manner that facilitates effortless result reproduction.
  • Marking out specific triggers that kick-start pre-training when the model’s performance isn’t up to scratch.

Deploying the Model

  • Settling on the perfect framework to gift-wrap the model as an API service.
  • Or taking a different route – choosing and finetuning a container service for deployment.
  • Crafting a safe, production-ready home for the models.
  • Building a model registry – a logbook to store all metadata that matters for each model.

Keeping an Eye on the Model

  • Picking the best agent to constantly watch over the model in real-time.
  • Tweaking the agent to pick up anomalies, sense shifts in concept, and keep a close watch on model accuracy.
  • Adding extra measures to keep tabs on how much resources the model is munching on.
  • Drawing up the rules for re-training and setting up alerts to match.

Synchronizing Machine Learning with Business Objectives

  • Getting a grip on the business targets and the larger dreams of the firm.
  • Sketching out the problem that machine learning can unravel.
  • Hunting down the right data sources and the data required to shape the machine learning model.
  • Formulating a blueprint for the lifecycle of the machine learning model – from birth to testing, deployment, and babysitting.

Nurturing Data and Governing its Growth

  • Designing a tool for unseen extraction or batch fetching from the cherry-picked data source.
  • Baking in an automatic data validation process to ensure the data remains pristine and sticks to the decided schema.
  • Applying a clever split method to remove separate training and validation data chunks from the validated data pool.
  • Laying the groundwork for a feature store that neatly houses and organizes pre-existing features.

Cultivating the Model

  • Handpicking a diverse range of storage-neutral version control systems that play well with machine learning workflows.
  • Harmoniously blending these version control systems into the platform and getting the settings right.
  • Ensuring that fresh metadata springing from new training runs are auto-saved into the correct version control system.
  • Establishing a metadata library to hoard relevant information for future deep dives.

Appraising the Model

  • Framing up a mechanism for model scrutiny and validation using the toolkit of choice.
  • Switching on the auto-capture for all critical performance data each time the model struts its stuff.
  • Safeguarding all essential details in a manner that facilitates effortless result reproduction.
  • Marking out specific triggers that kick-start pre-training when the model’s performance isn’t up to scratch.

Deploying the Model

  • Settling on the perfect framework to gift-wrap the model as an API service.
  • Or taking a different route – choosing and finetuning a container service for deployment.
  • Crafting a safe, production-ready home for the models.
  • Building a model registry – a logbook to store all metadata that matters for each model.

Keeping an Eye on the Model

  • Picking the best agent to constantly watch over the model in real-time.
  • Tweaking the agent to pick up anomalies, sense shifts in concept, and keep a close watch on model accuracy.
  • Adding extra measures to keep tabs on how much resources the model is munching on.
  • Drawing up the rules for re-training and setting up alerts to match.
WHY US

Why partner with Markovate for MLOps consulting?

Our expertise is in revamping machine learning procedures for increased efficiency, which we do by automating ML pipelines and integrating AutoML platforms. Better planning and development are ensured by the MLOps expertise, which also enables repeatability in model training and deployment. Scaling is made simple with rapid access to essential resources. Our MLOps consulting guarantees a smooth production flow, which results in optimized machine-learning procedures.
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Accelerating Work Processes

Through streamlining infrastructure, perfecting workflows, and enhancing data preparation via automation and optimization, Markovate ensures a smooth and efficient machine-learning journey. This allows teams to maintain peak productivity levels.
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Comprehensive Development Solution

Markovate employs innovative tools and technology, including avant-garde algorithms and advanced automation, for a complete MLOps service. This negates the necessity for expansive in-house expertise.
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Adaptable MLOps Toolkit

With a unique blend of powerful open-source tools and reliable commercial frameworks complemented by a curated selection of favorite notebooks and libraries, Markovate offers a unified and seamless user experience.
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Reducing TCO in ML Endeavors

Recognizing the importance of flexibility for triumphant machine learning solutions, Markovate’s vendor-agnostic approach facilitates operations in the cloud, on-premise, or hybrid environments without feeling tied down.
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Facilitating Effective Collaboration

By automating standard tasks and fostering efficient experimentation workflows, Markovate enables optimal time utilization. All data sets are neatly organized, and high-performing models are constructed to achieve targeted outcomes.
Production-grade model scalability

Ensuring Security and Compliance

Adopting robust encryption protocols, Markovate ensures data is protected during usage, transit, and storage in the cloud. With stringent security precautions, peace of mind regarding data safety is a given.

Ready to optimize your Machine Learning operations? Contact us to unlock the full potential of your models.

OUR FEATURED WORK

Our ML-powered projects

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– LegalAlly

Reimagine Legal Support Driven by in-Depth Legal Research

We leveraged Generative AI to fasten legal document analysis and drafting for a medium-sized law firm in Chicago.
  • Legal Chatbot Assistant
  • Improved Communication Efficiency
  • Research Time Reduction by 64%
– NVMS

Reduced Inspection Times for Property Inspectors

We analyzed a large dataset of NVMS property photos to detect anomalies and built a conversational AI chatbot for efficient customer service.
  • Deep learning and computer vision driven image data extraction
  • GPT-based NLP chatbot for enhanced customer experience
  • Improved work efficiency by 80%
  • Image classification for detecting anomalies
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– Trapeze

Helped Trapeze Group, Revolutionize Mobility with a Paratransit Solution

Using geospatial technology, we supported Trapeze in innovating their existing paratransit transportation system. Our forward-thinking solutions have reduced customer wait times and improved safety features
  • Real-time vehicle tracking
  • Advanced algorithms for efficient route planning
  • In-app communication interfaces
  • Strict adherence to accessibility and privacy laws
– DeVoice

Redefining Restaurant Ordering with a Voice Ordering Solution

We built DeVoice, which is a AI based voice agent designed specifically for restaurants and other businesses, integrating state-of-the-art voice recognition and natural language understanding.
  • State-of-the-art voice recognition
  • Provides natural dialogues and verbal responses
  • Multi language support for diverse customers
  • Dynamic interaction for enhanced engagement
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Leading brands we’ve worked with

Discover how we can supercharge your business with AI. Our commitment to delivering tangible results has helped countless companies like yours achieve their goals. See the transformative impact of our AI, generative AI solutions and imagine the possibilities for your business.
Our proud client logo
Discover how we can supercharge your business with AI. Our commitment to delivering tangible results has helped countless companies like yours achieve their goals. See the transformative impact of our AI, generative AI solutions and imagine the possibilities for your business.
TOOL & TECHNOLOGY

Our Machine Learning operations tech stack

Our ML developers recommend the best technology stack to develop perfect ML solutions for business.
MLOps Tech Stack

Our collaboration partners

We form strategic alliances with leading platforms to guarantee the highest standards of safety and quality in every endeavor. This collaboration ensures our solutions are built on a foundation of trust and excellence, meeting the rigorous demands of our clients.
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INDUSTRIES

Developing smart solutions for every industry

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Healthcare AI Solutions

We specialize in crafting tailored AI solutions for healthcare organizations aiming to adopt or enhance AI capabilities. Our expert team develops impactful integrations to advance diagnostics and streamline operations, ensuring each solution meets unique client needs.
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Fintech AI Solutions

We deliver bespoke AI solutions to fintech firms seeking innovation in fraud detection, risk assessment, and automated customer service. Our tailored integrations enhance transaction security and operational efficiency, meeting specific industry needs.
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Retail AI Solutions

Our AI expertise enables retail businesses to enhance customer experience and optimize inventory management. We develop personalized solutions that improve sales forecasting, customer engagement, and supply chain efficiencies.
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SaaS AI Solutions

For SaaS companies, we provide AI-driven enhancements that improve user engagement, automate processes, and boost analytics capabilities. Our custom solutions are designed to integrate seamlessly with existing platforms, enhancing functionality and user experience.
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Travel AI Solutions

We create customized AI applications for the travel industry to streamline booking processes, personalize customer experiences, and optimize operational logistics. Our solutions help travel businesses adapt to market changes and enhance traveler satisfaction.
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Fitness AI Solutions

We build AI solutions for the fitness industry that personalize workout plans, track performance, and enhance user engagement through interactive applications. Our tailored approaches help fitness providers elevate their service offerings and client results.
INDUSTRIES

Developing effective Generative AI solutions for every industry

Healthcare

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Healthcare AI Solutions

We specialize in crafting tailored AI solutions for healthcare organizations aiming to adopt or enhance AI capabilities. Our expert team develops impactful integrations to advance diagnostics and streamline operations, ensuring each solution meets unique client needs.

Retail

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Retail AI Solutions

Our AI expertise enables retail businesses to enhance customer experience and optimize inventory management. We develop personalized solutions that improve sales forecasting, customer engagement, and supply chain efficiencies.

Fintech

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Fitness AI Solutions

We build AI solutions for the fitness industry that personalize workout plans, track performance, and enhance user engagement through interactive applications. Our tailored approaches help fitness providers elevate their service offerings and client results.

SaaS

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SaaS AI Solutions

For SaaS companies, we provide AI-driven enhancements that improve user engagement, automate processes, and boost analytics capabilities. Our custom solutions are designed to integrate seamlessly with existing platforms, enhancing functionality and user experience.

Travel

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Travel AI Solutions

We create customized AI applications for the travel industry to streamline booking processes, personalize customer experiences, and optimize operational logistics. Our solutions help travel businesses adapt to market changes and enhance traveler satisfaction.

Fitness

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Fitness AI Solutions

We build AI solutions for the fitness industry that personalize workout plans, track performance, and enhance user engagement through interactive applications. Our tailored approaches help fitness providers elevate their service offerings and client results.
TESTIMONIAL

What our clients say:

“Thanks to Markovate and their solution, our inspection accuracy has skyrocketed, significantly reducing our operational costs and improving customer satisfaction.”

Chris Cook
CEO, NVMS

“As a retail business, finding the right technology partner was crucial. We partnered with Markovate, who expertly guided our product development from concept to launch. Their recommended innovative solutions have significantly enhanced our operations and reduced our costs.”

John D
CEO, Aisle 24

“Partnering with Markovate to enhance our paratransit transportation system was a remarkable experience. We are deeply impressed by the precision and effectiveness of their solution.”

Garrett Vandendries
Director & PMO, Trapeze

“We were particularly impressed by the quality and precision of DeVoice. Its implementation not only streamlined our operations but also significantly elevated our customer service levels, making it a game-changer for our business.”

Doughlus
CTO, DeVoice

“Worked with Rajeev and Mansi both for Hawaii Revealed app development and launch. Excellent people with a thorough understanding of their business. Experts in providing solutions for scalability and product modernization.”

George Thompson
Sr. VP, Hawaii Revealed

“In every sense, working with Markovate has been amazing. The experience & outcomes were excellent from conception to creation & throughout the evolution phase. We are grateful that we could find Markovate to assist us as our mobile application met our expectations.”

Michael Sedigh
CFO, 3M Corporation

“Worked with Markovate and Mansi Takyar for our software launch in Canada. She has excellent business sense and truly added value to our product’s success. We highly recommend Markovate.”

David Singh
VP Strategy and Operations, Kira Talent

“I recommend Markovate to owners looking to design a new product or planning to develop it. Their team is fully skilled in building mobile applications and web solutions.”

Lucie Lalumiere
President & CEO, Interactive Ontario
FAQs

MLOps consulting

Can you explain MLOps?

MLOps is a combination of practices and tools designed to simplify machine learning model development, deployment, and monitoring. The significance of MLOps lies in its ability to diminish time and expenditure tied to the creation and deployment of ML models, enhance model efficiency, and boost the dependability and scalability of ML systems.

How does your team facilitate the application of MLOps in my enterprise?

Our team thoroughly reviews the existing ML framework in your organization, pinpointing potential areas of enhancement. From there, we assist in designing and executing data pipelines, constructing and deploying ML models, setting up monitoring and alert systems, and formulating ideal MLOps practices within the firm. Schedule a consultation to learn more.

Do you provide tailor-made solutions or fixed MLOps packages?

Our service range includes bespoke solutions and standardized MLOps packages to match your business’s specific necessities and stipulations. Our adept team collaborates with you, customizing our services to suit your needs and maximizing value.

What's the process to engage with your MLOps consulting services?

Initiating our MLOps consulting services is straightforward. Complete the contact form or connect directly with our team. We’ll then arrange a consultation to understand your requirements and devise a plan to meet your MLOps objectives.

OUR BLOGS

Point of view

Our thought leadership initiative – an exclusive platform for sharing our insights and technological perspectives.
Exploring Advanced RAG Techniques for AI

Advanced RAG Techniques stand at the cutting edge of artificial intelligence, transforming how machines understand and interact with human language. These sophisticated methods are not just about making smarter chatbots or more intuitive search engines; they're...

Achieving Success with MLOps Pipeline Integration

As the world of machine learning continues to expand, constructing efficient MLOps pipelines has become increasingly crucial for businesses. In this blog post, we will delve into the key components and benefits of implementing an MLOps pipeline that can streamline...

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